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2017
ANNUAL REPORT

F I N A N C I A L S TA B I L I T Y O V E R S I G H T C O U N C I L

Financial Stability Oversight Council
The Financial Stability Oversight Council (Council) was established by the Dodd-Frank Wall
Street Reform and Consumer Protection Act (Dodd-Frank Act) and is charged with three
primary purposes:
1.

To identify risks to the financial stability of the United States that could arise from the
material financial distress or failure, or ongoing activities, of large, interconnected bank
holding companies or nonbank financial companies, or that could arise outside the
financial services marketplace.

2.

To promote market discipline, by eliminating expectations on the part of shareholders,
creditors, and counterparties of such companies that the U.S. government will shield
them from losses in the event of failure.

3.

To respond to emerging threats to the stability of the U.S. financial system.

Pursuant to the Dodd-Frank Act, the Council consists of ten voting members and five
nonvoting members and brings together the expertise of federal financial regulators, state
regulators, and an insurance expert appointed by the President.
The voting members are:
•
•
•
•
•
•
•
•
•
•

the Secretary of the Treasury, who serves as the Chairperson of the Council;
the Chairman of the Board of Governors of the Federal Reserve System;
the Comptroller of the Currency;
the Director of the Bureau of Consumer Financial Protection;
the Chairman of the Securities and Exchange Commission;
the Chairperson of the Federal Deposit Insurance Corporation;
the Chairperson of the Commodity Futures Trading Commission;
the Director of the Federal Housing Finance Agency;
the Chairman of the National Credit Union Administration; and
an independent member having insurance expertise who is appointed by the President
and confirmed by the Senate for a six-year term.

The nonvoting members, who serve in an advisory capacity, are:
•
•
•
•
•

the Director of the Office of Financial Research;
the Director of the Federal Insurance Office;
a state insurance commissioner designated by the state insurance commissioners;
a state banking supervisor designated by the state banking supervisors; and
a state securities commissioner (or officer performing like functions) designated by the
state securities commissioners.

The state insurance commissioner, state banking supervisor, and state securities commissioner
serve two-year terms.
F i n a n c i a l S t a b i l i t y O ve r s i g h tiC o u n c i l

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Statutory Requirements for the Annual Report
Section 112(a)(2)(N) of the Dodd-Frank Act requires that the annual report
address the following:
i. the activities of the Council;
ii. significant financial market and regulatory developments, including
insurance and accounting regulations and standards, along with an
assessment of those developments on the stability of the
financial system;
iii. potential emerging threats to the financial stability of the
United States;
iv. all determinations made under Section 113 or Title VIII, and the
basis for such determinations;
v. all recommendations made under Section 119 and the result of such
recommendations; and
vi. recommendations—
I. to enhance the integrity, efficiency, competitiveness, and
		
stability of United States financial markets;
II. to promote market discipline; and
III. to maintain investor confidence.

Approval of the Annual Report
This annual report was approved unanimously by the voting members of the
Council on December 14, 2017. Except as otherwise indicated, data cited in this
report are as of October 31, 2017.

Abbreviations for Council Member Agencies and Member Agency Offices
•
•
•
•
•
•
•
•
•
•
•

ii

Department of the Treasury (Treasury)
Board of Governors of the Federal Reserve System (Federal Reserve)
Office of the Comptroller of the Currency (OCC)
Bureau of Consumer Financial Protection (CFPB)
Securities and Exchange Commission (SEC)
Federal Deposit Insurance Corporation (FDIC)
Commodity Futures Trading Commission (CFTC)
Federal Housing Finance Agency (FHFA)
National Credit Union Administration (NCUA)
Office of Financial Research (OFR)
Federal Insurance Office (FIO)

2 0 1 7 F S O C / / Annual Report

Contents
1 Member Statement....................................................... 1
2 Executive Summary...................................................... 3
3 Annual Report Recommendations................................ 7
3.1.Cybersecurity..........................................................................................7
3.2.Asset Management Products and Activities............................................10
3.3.Capital, Liquidity, and Resolution...........................................................10
3.4.Central Counterparties...........................................................................11
3.5.Wholesale Funding Markets...................................................................12
3.6.Reforms Related to Reference Rates......................................................12
3.7.Data Quality, Collection, and Sharing......................................................13
3.8.Housing Finance Reform........................................................................15
3.9.Managing Vulnerabilities in an Environment of Low, but Rising, Interest
Rates....................................................................................................16
3.10 Changes in Financial Market Structure and Implications for Financial
Stability.................................................................................................16
3.11 Financial Innovation..............................................................................17
3.12 Regulatory Efficiency and Effectiveness................................................17

4 Financial Developments.............................................. 19
4.1. U.S. Treasuries......................................................................................19
4.2.Sovereign Debt Markets........................................................................21
Box A: European Banking Sector Developments...........................................24
4.3.Corporate Credit....................................................................................30
4.4.Household Credit...................................................................................33
4.5.Real Estate Markets..............................................................................36
Box B: Valuations in Commercial Real Estate Markets.................................. 43
4.6.Foreign Exchange................................................................................. 45
4.7.Equities.................................................................................................47
4.8.Commodities........................................................................................ 48
C o n te n t s

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4.9.Wholesale Funding Markets...................................................................49
4.10 Derivatives Markets............................................................................. 54
4.11 Bank Holding Companies and Depository Institutions........................... 66
4.12 Nonbank Financial Companies..............................................................81
4.13 Investment Funds.................................................................................87
Box C: Market Response to Money Market Mutual Fund Reforms................ 88
4.14 New Financial Products and Services...................................................98

5 Regulatory Developments and Council Activities.... 101
5.1. Safety and Soundness.........................................................................101
5.2.Financial Infrastructure, Markets, and Oversight..................................108
Box D: Stress Testing of Derivatives Central Counterparties........................ 110
5.3.Mortgages and Consumer Protection................................................... 114
5.4.Data Scope, Quality, and Accessibility.................................................. 115
5.5.Council Activities.................................................................................120

6 Potential Emerging Threats and Vulnerabilities...... 123
6.1. Ongoing Structural Vulnerabilities........................................................123
6.2.Cybersecurity: Vulnerabilities to Attacks on Financial Services ............127
6.3.Asset Management Products and Activities .........................................128
6.4.Managing Vulnerabilities in an Environment of Low, but Rising, Interest
Rates..................................................................................................128
6.5.Changes to Financial Market Structure and Implications for Financial
Stability ..............................................................................................129
6.6.Global Economic and Financial Developments......................................130
Box E: Closing Data Gaps in the U.S. Treasury Market................................131

Abbreviations ................................................................ 135
Glossary......................................................................... 145
List of Charts................................................................. 155

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1

Member Statement

The Honorable Paul D. Ryan
Speaker of the House
United States House of Representatives

The Honorable Michael R. Pence
President of the Senate
United States Senate

The Honorable Nancy Pelosi
Democratic Leader
United States House of Representatives

The Honorable Mitch McConnell
Majority Leader
United States Senate
The Honorable Charles E. Schumer
Democratic Leader
United States Senate

In accordance with Section 112(b)(2) of the Dodd-Frank Wall Street Reform and Consumer Protection
Act, for the reasons outlined in the annual report, I believe that additional actions, as described below,
should be taken to ensure financial stability and to mitigate systemic risk that would negatively affect
the economy: the issues and recommendations set forth in the Council’s annual report should be fully
addressed; the Council should continue to build its systems and processes for monitoring and responding
to emerging threats to the stability of the United States financial system, including those described in the
Council’s annual report; the Council and its member agencies should continue to implement the laws they
administer, including those established by, and amended by, the Dodd-Frank Act, through efficient and
effective measures; and the Council and its member agencies should exercise their respective authorities
for oversight of financial firms and markets so that the private sector employs sound financial risk
management practices to mitigate potential risks to the financial stability of the United States.

Steven T. Mnuchin
Secretary of the Treasury
Chairperson, Financial Stability Oversight Council

Janet L. Yellen
Chair
Board of Governors of the Federal Reserve System

Grace Dailey
Senior Deputy Comptroller and Chief National Bank
Examiner
Office of the Comptroller of the Currency

J. Michael Mulvaney
Acting Director
Bureau of Consumer Financial Protection

Jay Clayton
Chairman
Securities and Exchange Commission

J. Christopher Giancarlo
Chairman
Commodity Futures Trading Commission

J. Mark McWatters
Chairman
National Credit Union Administration

Martin J. Gruenberg
Chairman
Federal Deposit Insurance Corporation

Melvin L. Watt
Director
Federal Housing Finance Agency

S. Roy Woodall, Jr.
Independent Member Having Insurance Expertise
Financial Stability Oversight Council

M e m b e r S t a te m e n t

1

2

Executive Summary

U.S. financial market conditions have generally been stable since the publication of the Council’s last
annual report. Asset prices generally increased, commodity prices partially recovered after falling
in previous years, and commercial real estate (CRE) valuations remained high, according to certain
measures. Short-term funding markets experienced significant changes over the past two years as SEC
reforms of money market mutual funds (MMFs) went into effect. While low interest rates have supported
growth in recent years, interest rates have generally increased across maturities since the Council’s last
annual report, against the backdrop of continued gradual improvement in economic fundamentals.
Developed economies grew at relatively subdued levels, and emerging market economic growth picked
up slightly, as the global economy has continued to rebound slowly in the post-crisis period. At the
same time, several factors continue to generate global economic uncertainty, including developments
following the referendum in the United Kingdom (UK) to leave the European Union (EU), problems
affecting European banks, and rapid corporate credit growth in China.
Since the Council’s last annual report, actions by financial regulatory agencies have included the
continued implementation of capital and liquidity standards for financial institutions; application
of supervisory and company-run stress tests; supervisory review and feedback on large banking
organizations’ resolution plans; implementation of additional reforms of the derivatives markets and of
asset management practices; enhanced safeguards related to operational risks for technological systems
and cybersecurity; and improvements in data scope, quality, and accessibility.
Over the past 18 months, the Council rescinded its designations of two nonbank financial companies
for supervision by the Federal Reserve. In June 2016, the Council rescinded its determination regarding
GE Capital Global Holdings, LLC (GE Capital), based on its determination that changes at GE Capital
since the Council’s July 2013 determination significantly reduced the potential for GE Capital’s material
financial distress to threaten U.S. financial stability. The Council rescinded its determination regarding
AIG in September 2017, based on decreased capital markets exposures to the company; the company’s
exit from certain important financial markets; and additional Council analyses indicating that there
is not a significant risk that a forced asset liquidation by AIG would disrupt market functioning and
thereby pose a threat to U.S. financial stability.
The Council continues to serve as a forum to facilitate coordination among federal and state financial
regulatory agencies to monitor market developments and identify potential threats to financial stability.
As a result of post-crisis regulatory reforms, the U.S. financial system is clearly stronger and much better
positioned to withstand a market shock or an economic downturn than it was before the financial crisis.
Maintaining a resilient financial system is important in large part because economic growth—and
the economic well-being of Americans—depends on the financial system’s ability to provide capital to
businesses and individuals, to provide vehicles for savings, and to intermediate financial transactions
even in the face of adverse events. Indeed, the crisis had a significant and lasting effect on U.S.
economic growth. Nearly ten years after the crisis began, with most of the post-crisis regulatory reforms
required by the Dodd-Frank Act having been implemented, this is an appropriate time to assess the
effectiveness of the reforms and to consider any unintended consequences that could have negative
effects on financial stability or economic growth.

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The U.S. financial regulatory system should promote economic growth not just by preventing financial crises
that reduce growth, but also by minimizing those regulations that increase costs without commensurate
benefits. Regulators have taken actions to consider these issues, including the report issued in March 2017 by
the FDIC, Federal Reserve, OCC, and NCUA, pursuant to the Economic Growth and Regulatory Paperwork
Reduction Act (EGRPRA); the CFTC’s ongoing internal review of agency rules, regulations and practices
to identify those areas that can be simplified to make them less burdensome and less costly; the SEC’s and
CFPB’s retrospective review of certain rules; and review by relevant agencies of the Volcker Rule for potential
ways to simplify its requirements and address unintended consequences.
Council member agencies should, where possible and without reducing the resilience of the financial
system, continue to address regulatory overlap and duplication, modernize outdated regulations, and, where
authority exists, tailor regulations based on the size and complexity of financial institutions.
Separately, the Council notes the potential for persistent budget deficits to negatively impact economic
growth. Government budgets were strained by the cyclical response of revenues and expenditures after
the financial crisis as well as the fiscal actions taken to ease the recession and aid the recovery. The federal
government deficit stood at 3.2 percent of GDP in 2016, and net publicly held federal debt outstanding was
over $14 trillion. Achieving long run sustainability of the national budget is important to maintain global
market confidence in U.S. Treasury securities and the financial stability of the United States.

Cybersecurity
As the financial system relies more heavily on technology, the risk that significant cybersecurity incidents
targeting this technology can prevent the financial sector from delivering services and impact U.S. financial
stability increases. Through collaboration and partnership, substantial gains have been made by both
government and industry in response to cybersecurity risks, in part by refining their shared understanding
of potential vulnerabilities within the financial sector. It is important that this work continue and include
greater emphasis on understanding and mitigating the risk that significant cybersecurity incidents have
business and systemic implications.

Asset Management Products and Activities
In April 2016, the Council issued an update on its review of potential risks to financial stability that might
arise from asset management products and activities. In that update, the Council focused primarily on
potential threats and vulnerabilities in the areas of liquidity and redemption risk and the use of leverage. The
SEC adopted a rule relating to funds’ liquidity risk management practices and proposed a rule regarding
funds’ use of derivatives. The SEC should assess the final rule and the rule proposal to evaluate whether the
chosen regulatory approach addresses potential risks effectively and efficiently.
In November 2016, the Council’s interagency hedge fund working group provided an update on its findings
and noted that additional data and improved data sharing among relevant regulators would be necessary to
better assess potential risks to financial stability posed by hedge funds. Regulators should review their data
collections and assess whether they are sufficient for the Council to monitor whether and how hedge funds
may pose risks to financial stability.

Capital, Liquidity, and Resolution
In the years since the financial crisis, large financial institutions have made much progress in improving
their resiliency by decreasing their leverage and improving their ability to respond to draws on their
liquidity. Large bank holding companies (BHCs) engaged in the resolution planning process have also
made important changes to their structure and operations in order to improve resolvability. The financial
regulatory agencies have developed and implemented rules intended to further increase the robustness
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of these institutions and enhance financial stability. Regulators should ensure that these institutions have
sufficient capital and liquidity to reduce their vulnerability to economic and financial shocks. Regulators
should also continue to monitor and assess the impact of rules on financial institutions and markets,
including on market liquidity.

Central Counterparties
Central counterparties (CCPs) have the potential to provide considerable benefits to financial stability by
enhancing market functioning, reducing counterparty risk, and increasing transparency. These benefits
require that CCPs be highly robust and resilient. Regulators should continue to coordinate in the supervision
of all CCPs that are designated as systemically important financial market utilities (FMUs). Member agencies
should continue to evaluate whether existing rules and standards for CCPs and their clearing members are
sufficiently robust to mitigate potential threats to financial stability. Agencies should also continue working
with international standard-setting bodies to identify and address areas of common concern as additional
derivatives clearing requirements are implemented in other jurisdictions. Evaluation of the performance
of CCPs under stress scenarios can be a very useful tool for assessing the robustness and resilience of such
institutions and identifying potential operational areas for improvement. Supervisory agencies should
continue to conduct these exercises. Regulators should also continue to monitor and assess interconnections
among CCPs, their clearing members, and other financial institutions; consider additional improvements in
public disclosure; and develop resolution plans for systemically important CCPs.

Short-Term Wholesale Funding
While some progress has been made in the reduction of counterparty risk exposures in repurchase
agreement (repo) markets in recent years, the potential for fire sales of collateral by creditors of a defaulted
broker-dealer remains a vulnerability. The SEC should monitor and assess the effectiveness of the MMF
rules implemented last year. Regulators should also monitor the potential migration of activity to other
cash management vehicles and the impact of money market developments on other financial markets and
institutions.

Reliance on Reference Rates
Over the past few years, regulators, benchmark administrators, and market participants have worked toward
improving the resilience of the London Interbank Offered Rate (LIBOR) by subjecting the rate and its
administrator to more direct oversight, eliminating little-used currency and tenor pairings, and embargoing
the submissions of individual banks to the panel for a three-month period. However, decreases in the volume
of unsecured wholesale lending has made it more difficult to firmly ground LIBOR submissions in a sufficient
number of observable transactions, creating the risk that publishing the benchmark may not be sustainable.
Regulators and market participants have been collaborating to develop alternatives to LIBOR. They are
encouraged to complete such work and to take appropriate steps to mitigate disruptions associated with the
transition to a new reference rate.

Data Quality, Collection, and Sharing
The financial crisis revealed gaps in the data needed for effective oversight of the financial system and
internal firm risk management and reporting capabilities. Although progress has been made in filling
these gaps, much work remains. In addition, some market participants continue to use legacy processes that
rely on data that are not aligned to definitions from relevant consensus-based standards and do not allow

E xe c u t i v e S u m m a r y

5

for adequate conformance and validation to structures needed for data sharing. Regulators and market
participants should continue to work together to improve the coverage, quality, and accessibility of financial
data, as well as data sharing between and among relevant agencies.

Housing Finance Reform
Fannie Mae and Freddie Mac, two of the housing government-sponsored enterprises (GSEs), are now into
their tenth year of conservatorship. While regulators and supervisors have taken great strides to work within
the constraints of conservatorship to promote greater investment of private capital and improve operational
efficiency with lower costs, federal and state regulators are approaching the limits of their ability to enact
wholesale reforms that are likely to foster a vibrant, resilient housing finance system. Housing finance reform
legislation is needed to create a more sustainable system that enhances financial stability.

Managing Vulnerabilities in an Environment of Low, but Rising, Interest Rates
In previous annual reports, the Council identified vulnerabilities that arise from a prolonged period of low
interest rates. In particular, as investors search for higher yields, some may add assets with higher credit or
market risks to their portfolios. They may also use more leverage or rely on shorter-term funding. These
actions tend to raise the overall level of financial risk in the economy and may put upward pressure on prices
in certain markets. If prices in those markets were to fall sharply, owners could face unexpectedly large
declines in their overall portfolio value, potentially creating conditions of financial instability. Although
both short-term and long-term interest rates have risen since the last annual report, the consequences of
past risk-taking may persist for some time. While the rise in short-term rates has benefitted net interest
margins (NIMs) and net interest income at depository institutions and broker-dealers, a flatter yield curve
and expectations for higher funding costs going forward may increasingly lower the earnings benefits from
higher interest rates. In addition, the transition to higher rates may expose vulnerabilities among some
market participants through a reduction in the value of their assets or an uncertain rise in costs of funding
for depository institutions. These vulnerabilities can be mitigated by supervisors, regulators, and financial
institutions closely monitoring increased risk-taking incentives and risks that might arise from rising rates.

Changes in Financial Market Structure and Implications for Financial Stability
Changes in market structure, such as the increased use of automated trading systems, the ability to quote
and execute transactions at higher speeds, the increased diversity in the types of liquidity providers in such
markets, and the expansion in trading venues all have the potential to increase the efficiency and improve
the functioning of financial markets. But such changes and complexities also have the potential to create
unanticipated risks that may disrupt financial stability. It is therefore important that market participants
and regulators continue to try to identify gaps in our understanding of market structure and fill those gaps
through the collection of data and subsequent analysis. In addition, evaluation of the appropriate use or
expansion of coordinated tools such as trading halts across interdependent markets, particularly in periods
of market stress, will further the goal of enhancing financial stability, as will collaborative work by member
agencies to analyze developments in market liquidity.

Financial Innovation
New financial market participants and new financial products can offer substantial benefits to consumers and
businesses by meeting emerging needs or reducing costs. But these new participants and products may also
create unanticipated risks and vulnerabilities. Financial regulators should continue to monitor and analyze
the effects of new financial products and services on consumers, regulated entities, and financial markets,
and evaluate their potential effects on financial stability.

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3
3.1

Annual Report Recommendations
Cybersecurity

Financial institutions continue to invest in technology to increase efficiency and improve their services.
However, greater reliance on technology, particularly across a broader array of interconnected
platforms, increases the risk that a cyber incident will have severe negative consequences for financial
institutions. If severe enough, a cybersecurity failure could have systemic implications for the financial
sector and the U.S. economy more broadly.
Identifying cybersecurity risks and the systemic implications of potential cybersecurity failures requires
a deep understanding of the financial services sector’s operations, complexities, and interdependencies.
The fact that the sector is overwhelmingly owned and operated by the private sector makes the need for
a close partnership between government and industry important to better understand these risks. Such
a partnership helps maintain the integrity of U.S. financial markets and the health of the U.S. economy.
The Council underscores the necessity of sustained senior-level attention on cybersecurity risks and
their potential systemic implications. To bolster understanding of these risks and improve cybersecurity
resilience, the Council supports the creation of a private sector council of senior executives that would
focus specifically on ways that cyber incidents could impact business operations and market functioning
and liaise with principal-level government counterparts on cybersecurity issues. This council could
help identify specific vulnerabilities in the sector’s ability to provide critical products and services and
propose standards for cybersecurity and operational resilience.
Additionally, the Council recommends that:
1.

2.

3.
4.
5.

6.

Government and industry continue to work together, leveraging existing programs where
possible, to enhance financial sector companies’ ability to mitigate vulnerabilities and maintain a
strong cybersecurity posture;
Agencies continue to support efforts to implement the Automated Indicator Sharing (AIS)
program developed by the Department of Homeland Security (DHS) and other efforts to
encourage automated information sharing;
Agencies work to harmonize cybersecurity supervision and regulation, where appropriate;
Congress pass legislation that grants examination and enforcement powers to the SEC, CFTC,
FHFA, and NCUA to oversee third-party service providers;
The Financial and Banking Information Infrastructure Committee (FBIIC), the public sector
body dedicated to improving the reliability and security of financial sector infrastructure,
continue to promote processes to strengthen response and recovery efforts while working closely
with partners to carry out regular cybersecurity exercises; and
Treasury and the relevant agencies work with international partners in appropriate forums, such
as the G-7 and G-20, on programs to strengthen financial cybersecurity, such as to promote a
common lexicon to facilitate consistent discussion of cybersecurity matters.

Annual Repor t Recommendations

7

Information Sharing
Sharing timely and actionable cybersecurity information among private sector firms and the government
remains a key priority. Enhanced public-private partnerships have improved information sharing processes.
This sharing reduces the risk that cybersecurity incidents occur and mitigates their impact when they do
occur. Sharing cybersecurity information, including “indicators” of potential threats, can have a number of
security benefits. For example, one type of indicator can be used to reduce the time needed to discover that
a compromise has occurred so that further damage can be avoided. Another can block attacks using known
malware.
The Council supports the ongoing coordination and communications work of the FBIIC and encourages the
body to undertake additional action. Specifically, the Council recommends that the FBIIC increase the range
of cybersecurity information shared among government agencies, with an emphasis on information that can
be used to improve the cybersecurity posture of the sector and protect the sector’s critical infrastructure
from operational disruption. This information could range from technical indicators, exploits, or artifacts; to
tactical information regarding adversary behavior; to vulnerabilities and exposures; and may include nonpublic information, where appropriate and subject to prudent restrictions on its dissemination. Sharing of
this cybersecurity information will provide a better understanding of operational risks within and across the
sector, enabling improved risk-mitigation efforts, and a more consistent approach to enhancing the sector’s
security and resilience.
In addition, the Council supports continued government efforts to automate the flow of cybersecurity and
threat information to the private sector, allowing valuable information to reach potentially vulnerable
companies and organizations faster. For example, the DHS established its AIS program, which enables the
provision of cyber threat indicators, such as malicious Internet Protocol addresses, from the government to
the private sector. The Council recommends that agencies continue to support efforts to implement the AIS
program and other efforts to encourage automated information sharing.
Most cybersecurity information sharing between government and industry is conducted at the unclassified
level. Agencies should continue to prioritize efforts to ensure that actionable information can be made
available in an unclassified format. However, certain information must remain classified. For this
information, a key policy challenge is balancing the need to keep information secure with efforts to share
information with industry to enhance cybersecurity resilience. Treasury and relevant agencies, through DHS,
should carefully consider how to share information appropriately and, where possible, continue efforts to
declassify (or downgrade classification) to the extent practicable, consistent with national security needs.

Baseline Protections
Baseline protections aid in the establishment of cybersecurity risk management programs to increase
situational awareness, elevate cyber-risk governance practices, and reduce supply-chain risk. Public and
private sector efforts to enhance and promote baseline protections, including the creation of a common
lexicon for cyber risk discussions, remains fundamental.
The National Institute of Standards and Technology (NIST) Framework for Improving Critical Infrastructure
Cybersecurity (Framework) provides a thematic outline of cybersecurity functions and desired outcomes
to reduce risk. Although the Framework is an evolving guide that is not designed to serve as a regulatory
standard, it establishes a useful common lexicon for businesses to discuss their approaches to cybersecurity.

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The Council also encourages the financial regulators to remain actively engaged with NIST as various
NIST publications are updated, including the Framework. As cybersecurity supervision evolves, the Council
recommends that financial regulators establish a harmonized risk-based approach utilizing the Framework
and common lexicon, which can be leveraged to assess cybersecurity and resilience at the firms they regulate.
In addition, financial regulators should harmonize the development of any specific cybersecurity rules and
guidance domestically, as appropriate. Such efforts will further reinforce efforts by diverse stakeholders to
promote baseline protections across the sector.
The Council supports approaches to creating a common lexicon within both the domestic and international
financial sectors. Work was initiated in this regard with the release of the G7’s Fundamental Elements of
Cybersecurity for the Financial Sector, which drew upon the NIST Framework and the approaches of other
G7 countries to create a succinct set of non-binding effective cybersecurity risk management practices for
public and private entities.
Financial institutions are increasingly reliant on a global supply chain, particularly with regard to use
of technology service providers. Maintaining confidence in the security practices of third-party service
providers has become increasingly important, particularly since financial institutions are often serviced by
the same providers. The Council encourages additional collaboration between government and industry on
addressing cybersecurity risk related to third-party service providers, including an effort to promote the use
of appropriately tailored contracting language.
Finally, the authority to supervise third-party service providers continues to vary across financial regulators.
The Council supports efforts to synchronize these authorities and enhance third-party service provider
information security. The Council recommends that Congress pass legislation that grants examination
and enforcement powers to the SEC, CFTC, FHFA, and NCUA to oversee third-party service providers and
encourages coordination among federal and state regulators in the oversight of these providers. This will
both reduce potentially conflicting and duplicative regulatory oversight and promote more consistency in
cybersecurity.

Response and Recovery
The sector’s ability to rapidly respond to and recover from significant cybersecurity incidents is critical to
reducing the potential for such incidents to threaten financial stability. The FBIIC continues to be a central
venue for enabling response and recovery coordination. The Council recommends that the FBIIC continue
to promote processes to enable and strengthen response and recovery efforts, including efforts to address the
systemic implications of significant cybersecurity incidents. It is important that this work include emphasis
on attaining a level of cybersecurity and operational resiliency in the sector that reduces the likelihood
of a systemic disruption of business activity or significant exfiltration of data. Furthermore, the Council
encourages FBIIC agencies to jointly catalog and analyze regulatory tools, expertise, and authorities to
respond to a cybersecurity incident and address any identified gaps.
Incident response and recovery processes must be well practiced in order to be timely and effective.
Responding to a significant financial sector incident could involve a diverse set of agencies and companies
that may not work together routinely, absent specific frameworks to encourage such collaboration.
Accordingly, the Council recommends that the FBIIC continue to work closely with DHS, law enforcement,
and industry partners to carry out regular cybersecurity exercises recognizing the interdependencies among
other sectors, such as telecommunications and energy, and encourages continued involvement in such efforts.

Annual Repor t Recommendations

9

3.2

Asset Management Products and Activities

In April 2016, the Council issued an update on its review of potential risks to financial stability that might
arise from asset management products and activities. In that update, the Council focused primarily on
potential threats and vulnerabilities in the areas of liquidity and redemption risk and the use of leverage.

Liquidity and Redemption Risk
As discussed in Section 5.5.3, the Council’s April 2016 update suggested a number of steps that should be
considered to mitigate potential financial stability risks associated with liquidity and redemption risk from
pooled investment vehicles. Since the publication of the update, as described in Sections 5.2.3 and 5.4.1,
the SEC has finalized a number of rules designed to promote effective liquidity risk management, provide
for enhanced data reporting, and permit the use of swing pricing under certain circumstances. The Council
recommends that the SEC monitor the implementation of these rules to evaluate whether the chosen
regulatory approach addresses potential risks effectively and efficiently.

Leverage Risk
Leverage, which can be obtained through borrowing, securities financing transactions, or derivatives, can
be a useful component of an investment strategy, and its use can imply varying levels of risk depending
on the activities and strategies of the investment vehicle. The Council’s analysis focused on the potential
vulnerability of assets purchased with borrowed short-term funds to selling pressures in stress conditions, as
well as on the exposures and interconnections to other market participants created by leverage. The Council
update noted that existing SEC guidance limited the ability of registered funds to obtain leverage through
repos and certain other financing transactions. In December 2015, the SEC issued a proposed rule on the use
of derivatives by registered investment companies. Commenters have raised a number of questions regarding
this proposed rule, including concerns that the measures for derivatives exposure did not adequately reflect
portfolio risk. The Council recommends that the SEC consider the proposed measures and approach,
including whether the proposal addresses risk effectively and efficiently.
As discussed in Section 5.5.3, in November 2016, the Council’s interagency hedge fund working group
provided an update on its findings and noted that additional data and improved data sharing among relevant
regulators would be necessary to better assess potential risks to financial stability posed by hedge funds.
The Council recommends that relevant agencies review their data collections and assess whether they are
sufficient to allow the Council to monitor whether and how hedge funds may pose risks to financial stability.

3.3

Capital, Liquidity, and Resolution

As discussed in more detail in Section 4.11.1, since the financial crisis many financial institutions have
become more resilient to potential disruptions. They have done so, in part, by: raising more capital; taking
steps to ensure that they have sufficient liquid assets to withstand greater demands for funding withdrawals;
improving loan portfolio quality for residential real estate; implementing better risk management practices;
and developing plans for their orderly resolution. Financial regulatory agencies have developed and
implemented rules intended to further increase the robustness of these institutions and enhance financial
stability (see Section 5.1.1). The Council recommends that financial regulators ensure that the largest
financial institutions have sufficient capital and liquidity to reduce their vulnerability to economic and
financial shocks. The Council also recommends that regulators continue to monitor and assess the impact
of rules on financial institutions and financial markets, including market liquidity. The Council further
recommends that the appropriate regulatory agencies continue to review resolution plans submitted by large
financial institutions, provide guidance to such institutions, and ensure there is an effective mechanism for
resolving large, complex institutions.
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2 0 1 7 F S O C / / Annual Report

3.4

Central Counterparties

As the Council has noted in previous annual reports, CCPs can improve financial stability by enhancing
market functioning, reducing counterparty risk, and increasing transparency. These benefits require that
CCPs be highly robust and resilient. Financial regulators and CCP management have made considerable
progress in improving risk management practices and providing greater transparency in the functioning of
these institutions, including systemically important CCPs. Due to the increasingly important role CCPs play
in financial markets, effective regulation and risk management of CCPs is essential to financial stability, and
should continue to evolve accordingly.
The Council continues to recommend that the CFTC, Federal Reserve, and SEC coordinate in the
supervision of all CCPs that are designated by the Council as systemically important FMUs. In addition, these
agencies could work to streamline the process for advance notice review that designated FMUs, including
CCPs, must undergo before implementing rule changes. Member agencies should continue to evaluate
whether existing rules and standards for CCPs and their clearing members are sufficiently robust to mitigate
potential threats to financial stability, in consultation with each other and the Council. Member agencies
should also continue working with global counterparts and international standard-setting bodies to identify
and address areas of common concern as additional derivatives clearing requirements are implemented in
other jurisdictions.
Evaluating how CCPs perform under stress scenarios is a useful tool for assessing the robustness and
resilience of such institutions and determining potential operational areas for improvement. The recent
stress testing exercises conducted by the CFTC and by regulators in other jurisdictions therefore constitute
a very important step in improving regulatory oversight of these institutions and evaluating their risk
management practices (see Box D). The Council encourages further development of supervisory stress tests
and consideration of whether collaboration across regulators, both domestic and international, on future
exercises would yield advantages. In addition, the Council continues to encourage stakeholders to engage
in CCP tabletop exercises that would simulate stress scenarios in an informal setting, such as liquidity,
operational, and cyber risks. Such exercises could improve coordination and identify ways to mitigate the
impact of a default of clearing members across multiple CCPs.
The Council also continues to encourage agencies, in particular the CFTC, SEC, and Federal Reserve, to
monitor and assess interconnections among CCPs, their clearing members, and other financial institutions.
They should consider the potential effects of distress of one or more of these entities on other stakeholders in
the clearing system and on financial stability, with an eye towards identifying measures that would enhance
the resilience of the financial system and financial stability.
Recent disclosures by many CCPs as a result of the Committee on Payments and Market Infrastructures
(CPMI) and the International Organization of Securities Commissions (IOSCO) quantitative disclosure
standards, discussed in Section 5.4.1, have increased transparency substantially for both the public and
clearing members. Regulators should consider additional improvements in public disclosure that are
comparable across CCPs that allow market participants to measure and monitor their exposures to CCPs, in
particular with respect to CCPs’ margin and stress testing methodologies.
Finally, the Council continues to encourage regulators to focus on CCP recovery and resolution planning to
further develop such plans for systemically important CCPs.

Annual Repor t Recommendations

11

3.5

Wholesale Funding Markets

Repurchase Agreement Markets
As the Council has noted in previous annual reports, progress has been made in the reduction of
counterparty risk exposures in markets for repos. At the same time, the Council recommends that financial
regulators continue to monitor these markets, given their continued importance in the U.S. financial
system. Because the possibility of fire sales of collateral by creditors of a defaulted broker-dealer remains a
vulnerability, the Council also recommends assessing the degree to which recent reforms have mitigated this
risk. Furthermore, in 2017, the SEC approved a proposal by the Fixed Income Clearing Corporation (FICC)
to expand the availability of central clearing in the repo market for certain institutional investors. Central
clearing could potentially improve transparency and help mitigate the risk of fire sales in this market.
Key to mitigating vulnerabilities in the repo market is bolstering policymakers’ and market participants’
understanding of how these markets function, how participants interact, and how risk characteristics are
changing. Though visibility into the tri-party repo market has improved in recent years, understanding of
the bilateral market should be improved considerably. In addition, the Council recommends that relevant
authorities continue to monitor repo markets for any signs of changes in liquidity conditions and assess the
impact of such developments on financial stability.

Money Market Mutual Funds and Other Cash Management Vehicles
As discussed in Sections 4.13.1, 5.2.3, and Box C, in October 2016, the SEC implemented reforms of MMFs
that were intended to reduce the likelihood of runs on these cash management vehicles. As a result of
the reforms, there was a significant shift in the composition of fund assets that impacted certain funding
markets. While total assets under management (AUM) were little changed, prime and tax-exempt MMF
assets declined sharply and shifted to government MMFs. This shift toward government MMFs, in turn, led
to stronger demand for government fund-eligible assets, including Treasury and agency securities, private
market repo collateralized by government securities, and repo conducted through the Federal Reserve’s
overnight reverse repo (ON RRP) facility. The Council, in coordination with the SEC, will continue to
monitor the impact of the reforms on other markets and institutions. In light of the approximately $1
trillion shift from prime MMFs to government funds, particular attention should be paid to monitoring the
continued availability of funding for institutions that borrowed from prime MMFs in the past.
In addition, the Council recommends that regulators assess the financial stability risks that might be posed
by other types of cash management vehicles. Several other types of cash management vehicles include shortterm investment funds, local government investment pools, and some common and collective trust funds.
Regulators should consider whether regulatory gaps exist for such vehicles, and evaluate the extent to which
additional data would be helpful in monitoring and addressing such gaps. Finally, in light of the regulatory
and market developments described above, some institutions may choose to implement new strategies that
could produce new risks and vulnerabilities. Regulators should attempt to identify such activities for any
financial stability risk implications.

3.6

Reforms Related to Reference Rates

While important progress has been made toward improving existing benchmarks, a fall in the volume of
transactions in wholesale unsecured funding markets has created weaknesses in the computation of the
still widely used interbank offered rates. The Council has previously noted that weak governance structures
and the small number of transactions in the unsecured, interbank lending market underpinning reference
rates like the LIBOR undermine market integrity and raise financial stability concerns. These concerns,

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2 0 1 7 F S O C / / Annual Report

along with heavy reliance upon LIBOR in particular, have prompted further action by regulators and market
participants.
To address these issues, the Council encourages the Alternative Reference Rates Committee (ARRC)
to complete its work developing a credible implementation plan to achieve a smooth transition to the
Secured Overnight Financing Rate—a broad measure of overnight Treasury financing transactions—as
its recommended alternative reference rate. Such a plan should include well-defined targets and, when
possible, detailed timelines in order to provide greater certainty to market participants. The Council also
encourages market participants to make their legacy contracts referencing LIBOR more robust in the event
that the publication of LIBOR were to cease. These steps will minimize potential disruptions that might arise
during the transition to a new reference rate, encourage market participants to abide by the proposed terms
of the transition, and discourage market participants from divesting contracts tied to old benchmarks in a
disorderly manner. The Council recommends that member agencies work closely with market participants to
identify and mitigate risks from potential dislocations during the transition process.

3.7

Data Quality, Collection, and Sharing

While the financial services industry has long relied on reference data paired with financial transaction
data to form the core of financial instrument trading, trade processing, risk management, and regulatory
reporting systems, in many cases there is no consensus on how to best standardize these data. In some cases,
market participants have developed and applied proprietary naming conventions, formats, and structures
to the elements of these data, and in other cases, market participants use various open standards to
communicate these data. Use of different standards by different market participants for the same data can
lead to costs and inefficiencies, such as duplicate reporting, and may impede the ability to aggregate data for
risk management and reporting purposes.
The Council recommends that regulators and market participants continue to work together to improve the
coverage, quality, and accessibility of financial data, as well as data sharing between relevant agencies. Data
sharing improvements may include developing stronger data sharing agreements; collecting common data
using standard methodologies; developing and linking together data inventories; and promoting standard
criteria, protocols, and appropriately strong security controls to streamline the secure sharing of datasets.
Further, the Council encourages market participants to use current initiatives, forums, and public-private
partnerships, such as the Financial Sector Information Sharing and Analysis Center, Financial Services Sector
Coordinating Council, FBIIC, and Sheltered Harbor, to identify existing critical infrastructure protection
and cyber threat intelligence data-sharing protocols and standards that could be synchronized across the
industry. With regard to information collections more generally, member agencies should be mindful of the
extent to which existing and proposed new collections may lead to unnecessary regulatory reporting burdens,
and engage each other, their regulated firms, and other financial industry participants to reduce such
burdens.

Legal Entity Identifier
Broader adoption of the Legal Entity Identifier (LEI) by financial market participants continues to be a
Council priority. The LEI enables unique and transparent identification of legal entities participating in
financial transactions. The LEI system began collecting Level 2 information in May 2017 (see Section 5.4.2)
as entities chose to register for or renew their LEIs, a process that has continued over the succeeding months.
Level 2 data include only hierarchy data that is publicly available in cases where the respective parent has its
own LEI. With these hierarchy data, the LEI system will provide an additional tool for understanding the
complex structures of large companies. To facilitate the broad adoption of the LEI, the Council recommends

Annual Repor t Recommendations

13

that, where appropriate, member agencies move to adopt the use of the LEI in regulatory reporting and
other data collections.

Fostering Improved Data Collection and Sharing
The Council recommends that regulators and market participants continue to work together to improve
data collection and sharing, including developing stronger and more flexible data-sharing agreements,
collecting common data using industry best practices, developing and linking together metadata catalogs,
and reinforcing appropriate and strong security controls to streamline the secure sharing of financial data.
As these financial data are gathered and shared, it is important they be in accord with appropriate data
standards and sharing approaches to facilitate a common understanding across the spectrum of data users.

Securities Financing Data
High-quality data covering bilateral transactions in securities financing markets would be valuable for
regulators and market participants. Following last year’s Council recommendation in this area, and building
on the data collection pilot conducted by the OFR, Federal Reserve, and SEC (see Section 4.9.2), the
Council encourages efforts to make permanent the collection of data on certain repo and securities lending
transactions. The related rule development (see Section 5.4.1) should consider provisions for allowing secure
sharing and integration of the data with other member agencies and should weigh the tradeoffs of making
appropriately aggregated statistics available to the public.

Asset Management
Improving the quality of information available to evaluate risks in the asset management industry remains
a Council focus. In October 2016, the SEC finalized new disclosures and reporting requirements for mutual
funds and other funds it oversees. The final rules require structured reporting on portfolio holdings
and various fund characteristics, including a fund’s use of derivatives. In August 2016, the SEC adopted
amendments to Form ADV to collect data from investment advisers on assets in separately managed accounts.
The Council recommends continued efforts among member agencies to promote the consistency of reported
information, as well as sharing of data to improve financial stability analysis. The Council also supports
efforts to improve metrics and analytical tools used to evaluate asset management risks, as well as continued
collaboration among regulators and industry on reporting standards.

Central Counterparties
Obtaining information that enables the evaluation and monitoring of risks in CCPs remains a Council
priority. In response to the public quantitative disclosure standards developed by CPMI-IOSCO in 2015, CCPs
have begun to publicly report information on their financial resources. While there have been improvements
in public data disclosure about CCPs, there is room for further progress in disclosure. The Council
recommends continued efforts among member agencies to promote the consistency of reported information.
The Council also supports efforts to determine the degree to which greater data sharing among member
agencies concerning CCPs, clearing members, and clearing customers would improve risk monitoring and
analysis of CCPs, and to engage in such sharing, where appropriate.

Swap Data Repositories
The Council recommends that its members and member agencies continue to work to harmonize global
derivatives data for aggregation and reporting, and ensure that appropriate authorities have access to trade

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repository data needed to fulfill their mandates. In July 2016, the SEC adopted amendments and guidance
on regulatory reporting and public dissemination of some swap transactions. In addition, in 2016 the SEC
adopted rules implementing the requirement under the Dodd-Frank Act that security-based swap data
repositories (SBSDRs) make data available to certain named regulators and other persons designated by the
SEC, subject to a confidentiality condition. In December, a CFTC rule refining requirements for reporting
of cleared swaps to swap data repositories (SDRs) went into effect. In July 2017, the CFTC released for
comment a roadmap for reviewing its swaps reporting regulations, with the goal of improving data quality
while reducing burdens on swap counterparties. The roadmap contemplates recommendations regarding
the validation of data submitted to SDRs and a move toward standardization of data elements with those of
foreign regulators through work leveraging CPMI-IOSCO processes. Revisions to the CFTC swap reporting
rules and further alignment of data standards will facilitate analysis of derivatives market activities.

Mortgage Data Standards
The Council recommends that member agencies update their regulatory mortgage data collections to
include LEI and universal loan identifier (ULI) fields, which will make it possible to track loan records
through a loan’s life cycle. The Council also recommends that member agencies support adoption and use
of standards in mortgage data, including consistent terms, definitions, and data quality controls, which will
make transfers of loans or servicing rights less disruptive to borrowers and investors.

Insurance Data
The Council recommends that state insurance regulators and the NAIC continue their ongoing work to
enhance controls on life insurers’ use of, and improve the transparency of, captive reinsurance transactions.
FIO should continue to monitor and report on issues relating to captive reinsurance transactions.

Pensions
The Council supports efforts by pension regulators and accounting standards boards to improve the quality,
timeliness, and depth of disclosures of pension financial statements, and will continue to monitor financial
developments in pension plans. The Council also supports the use of market valuation for pension data as
described in the guidance issued by the Governmental Accounting Standards Board.

3.8

Housing Finance Reform

The domestic housing market continued to improve over the past year as sales of new and existing homes
increased, foreclosures declined, and the share of properties with negative equity fell. Fannie Mae and
Freddie Mac have reduced their retained portfolios more than 60 percent below their levels at year-end 2008
and continue to transfer credit risk on at least 90 percent of newly acquired single-family homes in targeted
categories. The Council recommends that regulators and market participants continue to take steps to
encourage private capital to play a larger role in the housing finance system.
FHFA and the two GSEs have also continued the development of a new housing finance infrastructure, including
initial use of the Common Securitization Platform (CSP) and progress toward a single agency mortgage-backed
security. The Council recommends that efforts to advance both the CSP and single security continue.
Fannie Mae and Freddie Mac are now into their tenth year of conservatorship. The Council acknowledges
that, under existing regulatory authorities, federal and state regulators are approaching the limits of their
ability to enact regulatory reforms that foster a vibrant, resilient housing finance system. The Council
therefore reaffirms its view that housing finance reform legislation is needed to create a more sustainable
system.

Annual Repor t Recommendations

15

3.9

Managing Vulnerabilities in an Environment of Low, but Rising, Interest Rates

Although domestic and many foreign interest rates still remain low by historical standards, rates began
to rise during the latter half of 2016. The Council has long recognized that a prolonged low-interest-rate
environment creates profitability challenges and increases incentives for risk-taking by market participants,
which in turn can create other vulnerabilities by heightening asset-valuations. To the extent that asset
valuations have been elevated in the low interest rate environment, declines in asset valuations are more likely
to materialize and become severe as interest rates return closer to historical norms. The Council therefore
continues to recommend that supervisors, regulators, and financial institutions continue to closely monitor
and assess the risks resulting from these increased risk-taking incentives.
While a general rise in interest rates could result in improved financial company profitability, it could also be
a symptom of or a contributing factor to other risks and vulnerabilities. Such a rise could in principle indicate
market perception of additional risk in the economy; however, credit spreads on risky assets have generally
continued to fall over the past year. Rising rates will also push down the value of outstanding securities,
which confronts current owners with unrealized losses. Given the unusually long period of low interest rates,
there is greater uncertainty about the pace at which financial institutions’ funding costs will rise in response
to increases in market rates and about the behavior of the quantity of deposits and other sources of shortterm funding. The Council recommends that supervisors, regulators, and financial institutions continue to
monitor and assess risks that might arise from rising rates.

3.10

Changes in Financial Market Structure and Implications for Financial Stability

Changes in the way that financial markets work, such as the increased use of automated trading systems,
the increased speed of executing financial transactions, and a wider variety of trading venues and liquidity
providers, have the potential to make financial markets more efficient and transparent. Such changes and
complexities also have the potential to create unanticipated risks, which may disrupt financial stability. It is
therefore important that financial regulators continue to monitor and evaluate any changes which might have
adverse effects on market functioning as well as any impact on trading liquidity.
A key component of these efforts is to identify the gaps in our understanding of market structure and, if
necessary, to fill these gaps through the collection of data and subsequent analysis. Such efforts are underway.
The reporting of secondary transactions in Treasury securities through the Trade Reporting and Compliance
Engine (TRACE) has the potential to promote greater understanding of, and transparency in, the Treasury
market (see Box E). The Council supports this development and encourages the assessment of other areas in
which improved data-gathering might be fruitful. In particular, important areas to study include cases where
underlying sources of risks may have similar impacts across different products.
Finally, the Council encourages member agencies to continue to evaluate the use of coordinated tools such
as trading halts across interdependent markets, particularly in periods of overall market stress, operational
failure, or other incidents that might pose threats to financial stability, while being mindful of the tradeoffs
such tools might entail. The recent memorandum of understanding signed by the Inter-Agency Working
Group for Market Surveillance, which includes several Council member agencies, to formalize data and
information sharing on the Treasury markets should enhance efforts to monitor these markets. Council
member agencies should also work collaboratively to analyze developments in market and trading liquidity.

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3.11

Financial Innovation

The entry of new financial market participants and development of new financial products and services offers
benefits to firms, households, and financial institutions. Innovation allows market participants to adapt to
evolving marketplace demands and regulatory constraints and offers the possibility of reducing transaction
costs, increasing credit availability, improving efficiency, and allowing for the more accurate pricing of risks.
But new applications of technology, as in other parts of the economy, can be disruptive and can create risks
and vulnerabilities that are difficult to anticipate. Accordingly, the Council encourages financial regulators to
continue to identify and study new products and services in order to understand how they are used and can
be misused, monitor how they affect consumers, regulated entities, and financial markets, and coordinate
regulatory approaches, as appropriate. Examples of such new products and services include virtual
currencies, distributed ledger technologies, and marketplace lending. The Council should also evaluate the
potential effects of new financial products and services on financial stability, including operational risk.

3.12

Regulatory Efficiency and Effectiveness

While the regulatory environment has contributed to improvements in financial stability and the resiliency
of financial institutions since the financial crisis, new regulations have also raised concerns about increased
compliance costs and regulatory burdens for financial institutions, especially for smaller institutions. Over
the past year, the OCC, the FDIC, and Federal Reserve completed their review, pursuant to EGRPRA, to
identify outdated or unnecessary regulations and consider how to reduce regulatory burden on insured
depository institutions while, at the same time, ensuring their safety and soundness and the safety and
soundness of the financial system. The NCUA conducted a review of its regulations at the same time and
in a manner consistent with the EGRPRA review. The CFPB formally launched the first three assessments
of its recent significant rulemakings as mandated by the Dodd-Frank Act. Other Council member agencies
underwent or are undertaking their own internal review of agency rules, regulations, and practices to identify
those areas that can be simplified to make them less burdensome and less costly. Council member agencies
also, for example, proposed reducing reporting requirements, raising appraisal thresholds, and simplifying
capital rules and coordinated efforts to address unintended consequences of the Volcker Rule (see Section
5.1.1 and Section 5.1.4). The Council recommends that regulators continue to evaluate regulatory overlap
and duplication, modernize outdated regulations, and, where authority exists, tailor regulations based on the
size and complexity of financial institutions.

Annual Repor t Recommendations

17

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4
4.1

Financial Developments

U.S. Treasuries

Publicly held U.S. sovereign debt outstanding
grew to $14.8 trillion as of October 2017. Public
debt outstanding as a share of gross domestic
product (GDP) rose to 77 percent over the
fiscal year (Chart 4.1.1). The Congressional
Budget Office (CBO) baseline projects publicly
held debt to remain below 79 percent through
2019 before rising to 91.2 percent by 2027. The
average maturity of outstanding marketable
debt rose from 69 months at year-end 2015 to
71 months as of third quarter 2017. Japan and
China are the largest foreign holders of U.S.
sovereign debt at a combined $2.3 trillion,
or 36 percent of total foreign holdings as of
September 2017.
The Treasury yield curve flattened in the
first half of 2016 due to lower longer-maturity
Treasury yields but steepened later in 2016 with
interest rates rising across the yield curve. The
flattening was largely driven by global growth
concerns and increased risk of lower inflation
contributing to increased foreign demand for
Treasury securities. The 10-year Treasury note
yield closed at a record low of 1.37 percent in
July 2016, after the UK referendum on June
23 regarding membership in the EU (Chart
4.1.2). The increase in yields later in 2016 was
particularly sharp after the U.S. presidential
election in November, with the 10-year yield
rising by 74 basis points to a peak of 2.62
percent in March 2017. Market participants
noted higher expectations for Federal Reserve
policy rates and inflation outcomes as well as
an increase in the term premium driven by
expectations for expansionary fiscal policy as
important factors driving the rise in the 10-year
Treasury yield. The 10-year Treasury yield has
since fallen off its peak in March and is at 2.38
percent as of October 2017. The Treasury yield

4.1.1 Federal Debt Held by the Public
4.1.1 Federal Debt Held by the Public
Percent of GDP
150

As Of: 2016

Percent of GDP
150

120

120
CBO Baseline
Projection

90

90

60

60

30

30

0
1940

1950

1960

1970

1980

1990

2000

2010

2020

0

Note: Data for fiscal years.
Years after 2016 are projected.

Source: CBO, Haver Analytics

4.1.2 10-Year Treasury Yields
4.1.2 10-Year Treasury Yields
Percent
5

Percent
5

As Of: 31-Oct-2017

4

4

Treasury Notes

3

3

2

2

1

1

0

0

-1
-2
2009

Treasury InflationProtected Securities
2010

2011

2012

-1
2013

2014

2015

2016

2017

-2

Source: U.S. Department of the Treasury

Financial Developments

19

curve has flattened in 2017 as short-term rates
have continued to rise.

4.1.3 2-Year Treasury Yields
4.1.3 2-Year Treasury Yields
Percent
1.75

Percent
1.75

As Of: 31-Oct-2017

1.50

1.50

1.25

1.25

1.00

1.00

0.75

0.75

0.50

0.50

0.25

0.25

0.00
2009 2010 2011 2012 2013 2014 2015 2016 2017

0.00

Source: U.S. Department of the Treasury

4.1.4 Fixed Income Implied Volatility
4.1.4 Fixed Income Implied Volatility
Basis Points
300

As Of: 31-Oct-2017

Merrill Lynch Option
Volatility Estimate
(MOVE) Index

250
200

250
200

1994-Present
MOVE Average

150

150

100

100

50

50

0
2005

2007

2009

Source: Bloomberg, L.P.

20

Basis Points
300

2 0 1 7 F S O C / / Annual Report

2011

2013

2015

2017

0

Note: Implied volatility is calculated using a
yield curve-weighted index of the normalized
implied volatility on 1-month Treasury options.

Since the beginning of 2016, the real yield on
10-year Treasury Inflation-Protected Securities
(TIPS) has fallen 23 basis points to 0.50
percent. Break-even inflation compensation, the
difference between nominal and TIPS yields,
rose over the period, peaking in early 2017.
Break-even inflation compensation has declined
more recently amid below expectations
inflation data.
Yields on 2-year Treasury notes fell in the first
half of 2016, reaching a low of 0.56 percent in
July before reversing course (Chart 4.1.3). The
2-year Treasury yield has since risen 104 basis
points to 1.60 percent, as of October 2017. The
Federal Open Market Committee (FOMC)
raised its target range for the federal funds
rate 25 basis points four times since December
2016. Also, in October 2017, the Federal Reserve
began normalizing its balance sheet. Implied
fixed income volatility, as measured by prices of
options on U.S. Treasuries, was below its longterm average throughout 2016 and 2017 (Chart
4.1.4).
The three major credit rating agencies
maintained their overall ratings and stable
outlook on U.S. sovereign debt unchanged since
the Council’s last annual report.

4.2

Sovereign Debt Markets

4.2.1

Developed Economies

Economic growth slowed slightly throughout
much of the developed world in 2016, but
rebounded in the first three quarters of 2017
(Chart 4.2.1). U.S. real GDP grew 1.5 percent
in 2016, down from a 2.9 percent pace in
2015, supported by a moderate expansion
in consumer spending and higher incomes.
Continued labor market strength helped lift
U.S. real GDP in 2017, with annualized growth
reaching 3.0 percent in the third quarter. In
general, growth rates in advanced economies
remain modest relative to their pre-crisis
averages (Chart 4.2.2).
Yields in developed economies declined for
most of 2016 and remained at subdued levels
in 2017, despite increasing briefly after the
U.S. presidential election. In several developed
economies abroad, which in some instances
have different approaches to market operations
than in the United States, central banks in
2016 held to their longstanding accommodative
monetary policy stances by maintaining very
low policy rates and continuing large-scale
asset purchases. The European Central Bank
(ECB) and the Bank of Japan (BoJ) left
nominal interest rates in negative territory to
combat disinflationary risks and low growth,
and the BoJ also began yield-targeting across
the interest rate curve, with a target of around
0 percent for 10-year bonds. The Bank of
England (BoE) announced an expansion of
its quantitative easing program in August
2016, and the ECB increased its pace of asset
purchases from April 2016 to March 2017.

4.2.1 Advanced Economies Real GDP Growth
4.2.1 Advanced Economies Real GDP Growth
Percent
5
4
3

As Of: 2017 Q3

Percent
5

United States
Japan
United Kingdom
Euro Area

4
3

2

2

1

1

0

0

-1

-1

2015 2015 2015 2015 2016 2016 2016 2016 2017 2017 2017
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3

Note: Data represents seasonally
adjusted quarter-over-quarter annualized
real GDP growth rates.

Source: Eurostat, CAO,
BEA, Haver Analytics

4.2.2 Real GDP Growth
4.2.2 Real GDP Growth
Percent
10

As Of: 2016

8

Percent
10
8

Emerging
Economies

6

6

4

4

2

2

0

0
Advanced
Economies

-2
-4
2000

2004

2008

Source: IMF, Haver Analytics

2012

-2
2016

2020

-4

Note: Year-over-year percent change.
Data after 2016 are projected.

In 2017, central banks in certain developed
economies began to tighten monetary
conditions. In November 2017, the BOE
raised its official Bank Rate to 0.5 percent,
and in July and September of 2017, the Bank
of Canada announced two consecutive rate
hikes, bringing its target overnight rate to 1.0
percent. Additionally, in October 2017, the
ECB announced it would decrease the pace
of asset purchases, but extend the program’s
Financial Developments

21

4.2.3 Euro Area Real GDP Growth
4.2.3 Euro Area Real GDP Growth
Percent
6

As Of: 2016

Percent
6

4

4

2

2

0

0
Spain
France
Euro Area
Italy
Germany

-2
-4

-6
2002

2005

-2
-4

2008

2011

2014

2017

-6

2020

Note: Year-over-year percent change.
Data after 2016 are projected.

Source: IMF, Haver Analytics

4.2.4 European 10-Year Yields
4.2.4 European 10-Year Yields
Percent
20

As Of: 31-Oct-2017

Percent
40

Greece (right axis)
Portugal (left axis)
Spain (left axis)
Italy (left axis)
United Kingdom (left axis)
Germany (left axis)

16
12

32
24

8

16

4

8

0

0

-4
2010

2011

2012

2013

2014

2015

2016

-8

2017

Source: Bloomberg, L.P.

4.2.5 Contributions to Japanese GDP Growth
4.2.5 Contributions to Japanese GDP Growth
Percent
12

As Of: 2017 Q3

6

6

0

0

-6

-18

-6

GDP
Private Demand
Public Demand
Net Exports
Inventories

-12

2014
Q1

2014
Q3

2015
Q1

Source: Cabinet Office of
Japan, Haver Analytics

22

Percent
12

2 0 1 7 F S O C / / Annual Report

2015
Q3

2016
Q1

-12

2016
Q3

2017
Q1

2017
Q3

-18

Note: Data represents seasonally adjusted quarterover-quarter annualized real GDP growth rates.

length to September 2018. The Federal Reserve,
meanwhile, raised its target range for the federal
funds rate (in December 2016, March 2017, June
2017, and December 2017) and began reducing
the size of its balance sheet in October 2017.

Euro Area
Real GDP growth slowed in the euro area to
1.8 percent in 2016, down from 2.0 percent in
2015, driven by slower growth in smaller and
peripheral countries. However, growth has since
accelerated, reaching an annualized rate of 2.4
percent in the third quarter of 2017, supported
by stronger global economic conditions and
lower unemployment in the euro area. Amongst
the larger euro area countries, Spain continued
to see the strongest recovery (Chart 4.2.3).
European banks, particularly in Italy, were a
source of macroeconomic uncertainty in 2016
and 2017 (see Box A).
Yields in larger European countries changed
little on balance in 2017 despite some volatility
around the June 2016 UK referendum to leave
the EU (Chart 4.2.4). While shorter-term core
sovereign bond yields remained negative for
most of 2016 and 2017, spreads to German
Bunds widened in late 2016 and early 2017
for several European countries. For example,
Portuguese and Italian yield spreads widened
due to fiscal, political, and banking sector risks,
and in the lead up to the French presidential
election, the French yield spreads to Germany
widened to their highest level since 2012.
Italian, Portuguese, and French yield spreads
to Germany have since tightened on stronger
economic growth expectations and reduced
political uncertainty.

Japan
The Japanese economy grew by 1.0 percent in
2016, and accelerated moderately in the first
three quarters of 2017 (Chart 4.2.5). Private
demand and exports were the primary sources
of Japanese GDP growth over this period.
The yen appreciated significantly for most of
2016 but fell sharply after the U.S. presidential
election, having recovered somewhat over the
following year. Consumer price inflation was

negative for nearly all of 2016 but has since
turned positive, though it remains very low
(Chart 4.2.6).
Japanese 10-year government bond yields
reached a record low of negative 30 basis points
in July 2016, before rising over the next few
months. Rates have hovered just above zero for
most of 2017, in line with the BOJ’s 10-year yield
target.

4.2.6 Japanese Consumer Price Inflation
4.2.6 Japanese Consumer Price Inflation
Percent
3

As Of: Sep-2017

Percent
3

2

2

1

1

0

0

-1

-1

-2

-2

-3
1998

2001

2004

Source: Bank of Japan,
Haver Analytics

2007

2010

2013

2016

-3

Note: Data represents year-over-year percent
change. CPI is adjusted for the consumption
tax increase that took effect in April 2014.

Financial Developments

23

Box A: European Banking Sector Developments

Low profitability and poor asset quality posed
challenges for European banks in 2016, contributing
to market volatility and macroeconomic uncertainty
in the region. Although recovering somewhat in
2017, European banks have witnessed depressed
share prices and low price-to-book (P/B) ratios in
recent years, as investors remained concerned about
profitability and potential shortfalls in capital. Banks’
contingent convertible bonds—those that pay interest
only if capital or income levels remain above certain
thresholds—experienced considerable price volatility
in 2016.
A.1 European Non-Performing Loan Ratios
A.1 European Non-Performing Loan Ratios
Percent
50

As Of: Jun-2017

Percent
50

40

40

30

30

20

20

10
0
Source: European Banking
Authority

Weighted Average

10
0

Note: Ratio of non-performing loans and
advances to total gross loans and advances.
Weighted averages by country.

Several factors have driven bank earnings to low
levels. Low interest rates have weighed on net interest
income, as floors on deposit rates have constrained
NIMs. In addition, European authorities note that
overcapacity, structural rigidities, and outdated
business models have hampered efforts to cut costs
and identify new revenue opportunities in a post-crisis
landscape. European banks reported an average
return on equity (ROE) of approximately 5 percent
in 2016, a rate below their estimated cost of capital,
although profitability improved somewhat in the first
half of 2017. Low earnings constrain banks’ ability to
absorb shocks through retained earnings and to raise

24

2 0 1 7 F S O C / / Annual Report

new capital, making the availability of credit more
precarious.
Poor asset quality remains a significant challenge for
banks in certain jurisdictions, particularly peripheral
countries, making it difficult for investors to assess
the health of banks and complicating efforts to raise
new capital. At the end of 2016, nonperforming loans
constituted more than 13 percent of total loans in one
quarter of EU countries, a ratio several times larger
than in many European core countries and other
developed economies. However, this ratio fell to 9.1
percent by June 2017 (Chart A.1). High levels of
nonperforming loans could increase net charge-offs
as banks write them off balance sheets, and in severe
cases could present solvency concerns.
European authorities recognize that addressing
the quantity of nonperforming loans, such as
through supervisory actions, structural reforms,
and development of secondary markets, is crucial.
However, despite certain efforts to identify a solution
that could address banking issues across the EU,
varying conditions across EU member states—
including differences in asset quality, debt resolution
mechanisms, and bankruptcy regimes—and political
constraints make finding such a solution challenging.
EBA stress tests results released in July 2016
revealed that, in a severe stress scenario, capital
ratios for several banks could fall substantially below
minimum requirements. Banks have subsequently
improved risk-weighted capital ratios in 2016 and
2017, partially mitigating the vulnerabilities associated
with low profitability and large nonperforming loans.
The fully-loaded common equity tier 1 (CET1) ratio of
the largest EU banks increased from 13 percent to
14 percent between December 2015 and June 2017.
Higher capital ratios were driven by both increases in
internally generated capital, such as through retained
earnings and smaller dividend payouts, and declines
in risk-weighted assets (RWAs), as banks continue to

recognize loan losses and absorb non-current costs.
However, these levels may understate vulnerabilities
given European banks’ low ratios of RWAs to total
assets and low leverage ratios, the latter averaging
approximately 5 percent across the EU.
European authorities have attempted to address
bank-related concerns in a variety of ways. In
November 2016, to strengthen the resilience of
EU banks, the European Commission proposed a
broad package of bank regulation that incorporates
remaining elements of the G20 prudential regulatory
reform agenda into the EU bank supervision and
regulation regime. European authorities have not
yet finalized legislation to establish a European
deposit insurance scheme, which could help reduce
vulnerability of national deposit guarantee schemes
to local shocks and reduce spillover risk between
sovereign nations and their banking sectors.

Reporting Standard (IFRS) 9, which becomes
effective on January 1, 2018. The new standard will
affect non-U.S. financial institutions in addition to
any company with certain types of financial assets,
including loans and receivables applying IFRS. IFRS
9 introduces a new classification and measurement
principle for financial assets, a new impairment model
that will accelerate recognition of credit losses, and a
change in hedge accounting.

European banking authorities have adapted their
application of rules and regulations to alleviate some
market concerns about the rigidity of the EU banking
framework. The decision by the ECB’s supervisory
authority to introduce more flexible, bank-specific
capital requirements has eased market concerns
about automatic restrictions on dividend and interest
distributions. Furthermore, initial cases of bank
recovery and resolution in Italy and Spain suggest
that officials have flexibility within the EU Bank
Recovery and Resolution Directive and state aid
framework to address banking system fragilities.
Changes in international accounting standards are
also expected to impact the European banking
sector. On July 24, 2014, the International Accounting
Standards Board (IASB) issued International Financial

Financial Developments

25

4.2.2

4.2.7 Chinese Real GDP Growth
4.2.7 Chinese Real GDP Growth
Percent
18

Percent
18

As Of: 2016

15

15

12

12

9

9

6

6

3

3

0

2000

2003

2006

2009

Source: China National Bureau
of Statistics, Haver Analytics

2012

0

2015

Note: Year-over-year percent change.

4.2.8 Chinese Manufacturing and Services Growth
4.2.8 Chinese Manufacturing and Services Growth
Percent
17

As Of: 2016

14

Percent
17

14

Manufacturing

11

11

8

Services

8

5
2000
2003
2006
Source: China National Bureau
of Statistics, Haver Analytics

2009

2012

2015

5

Note: Year-over-year percent change.

4.2.9 Chinese Equity Market (CSI 300 Index)
4.2.9 Chinese Equity Market (CSI 300 Index)

5000

5000

4000

4000

3000

3000

2000

2000

1000
2010

2011

2012

2013

Source: Capital IQ

26

Index
6000

As Of: 31-Oct-2017

Index
6000

2 0 1 7 F S O C / / Annual Report

2014

2015

2016

2017

1000

Emerging Market Economies

Economic growth in emerging markets picked
up slightly in 2016 and early 2017, following
sluggish growth in preceding years. Southeast
Asian economies expanded robustly, while
northeast Asian economies grew at a more
modest pace, in part due to slowing trade.
Following recessions in recent years due to
sharp declines in commodity prices, several
Latin American economies continued to
struggle due to weak consumer and business
confidence, tight macroeconomic policies, and
other factors.

China
Despite slowing slightly to 6.7 percent in 2016
(Chart 4.2.7), real GDP growth in China
edged higher to 6.8 percent in the first three
quarters of 2017, driven by continued credit
expansion, real estate investment, and fiscal
spending. While growth in the manufacturing
sector continued to underperform the services
sector, manufacturing sector growth stabilized
in 2016, supported by lower real interest rates
and strong industrial profits in the second
half of the year. Services sector growth slowed
modestly in 2016 (Chart 4.2.8). Over the first
three quarters of 2017, the manufacturing and
services sectors grew somewhat faster than over
the same period in 2016. Chinese equity market
volatility in 2016 and 2017 was considerably
more subdued than in 2015 (Chart 4.2.9). The
rate of total credit growth accelerated to 17.1
percent in 2016, primarily driven by an increase
in nonbank credit, and edged slightly lower in
2017 (Chart 4.2.10). Total nonfinancial private
credit rose above 200 percent of GDP, driven
by increased investment demand in real estate,
infrastructure, and manufacturing in recent
years (Chart 4.2.11).

Emerging Market Debt
After experiencing net foreign investor outflows
in late 2015, emerging market economies
(EMEs) were net recipients of foreign investor
capital in 2016 and early 2017, in line with
the slight pickup in EME growth (Chart
4.2.12). Gross bond issuance in 2016 and 2017
rebounded from the low level posted in 2015
(Chart 4.2.13). Issuance was sizable from a
number of countries that infrequently borrow
from public markets, including Argentina and
Saudi Arabia. Net bond issuance showed a
somewhat smaller increase than gross issuance
due to increasing maturities.
Bond spreads in most countries narrowed
or remained flat in 2016 and 2017, though
they temporarily widened following the U.S.
election (Chart 4.2.14). While China witnessed
substantial widening in corporate bond spreads
in late 2016 and early 2017, the selloff in
corporate bonds mostly ebbed by mid-2017.

4.2.10 Chinese Credit Growth
4.2.10 Chinese Credit Growth
Percent
50

Percent
50

As Of: Oct-2017

40

40

30

30
+ Local Gov’t
Bond Issuance

20
Total Social
Financing

10
0
2010

2011

2012

2013

2014

2015

20
10

2016

2017

0

Note: Year-over-year monthly change. Total credit is defined as the
sum of total social financing (TSF) and local government bond
issuance. TSF refers to the total volume of financing provided by the
financial system to the real economy.

Source: The People’s Bank
of China, Haver Analytics

4.2.11 Credit to the Chinese Nonfinancial Private Sector
4.2.11 Credit to the Chinese Nonfinancial Private Sector
Percent of GDP
240

As Of: 2017 Q1

Percent of GDP
240

200

200

160

160

120

120

80

80

40

40

0
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Source: China National Bureau of
Statistics, BIS, Haver Analytics
Note: Rolling 4-quarter sum of GDP.
0

4.2.12 Gross Foreign Investor Capital Inflows to EMEs
4.2.12 Gross Foreign Investor Capital Inflows to EMEs
Billions of US$
500

As Of: 2017 Q2

Billions of US$
500

300

300

100

100

-100

-300
2006

Bank Inflows
Portfolio Inflows
Foreign Direct Investment
Net Flows
2008

2010

2012

2014

2016

-100

-300

Source: IMF, Haver Analytics
Financial Developments

27

4.2.3

4.2.13 Emerging Market Gross Global Bond Issuance
4.2.13 Emerging Market Gross Global Bond Issuance
Billions of US$
700
Public
Private
600
Sovereign
500

As Of: 31-Oct-2017

Billions of US$
700
600
500

400

400

300

300

200

200

100

100

0

2005

2007

2009

2011

2013

2015

2017
YTD

0

Note: Bonds have maturities greater than one year and have
been internationally marketed or placed. “ Public” includes
issuance by municipal and state-owned enterprises.

Source: Dealogic

4.2.14 Emerging Market Bond Spreads
4.2.14 Emerging Market Bond Spreads
Basis Points
1000

As Of: 31-Oct-2017

800

Basis Points
1000
Latin America
Europe
800
Asia

600

600

400

400

200

200

0
2008

2010

2012

Source: JP Morgan,
Haver Analytics

2014

0

2016

Note: JP Morgan EMBI+ Sovereign
Spreads indices for each region.

4.2.15 Change in State and Local Government Tax Revenues

4.2.15 Change in State and Local Government Tax Revenues
Percent
12

As Of: 2017 Q2

9

9

6

6

3

3

0

0

-3

-3

-6
1998

2001

2004

Source: Census Bureau

28

Percent
12

2 0 1 7 F S O C / / Annual Report

2007

2010

2013

2016

-6

Note: Data represents year-over-year change.
Revenue measures includes revenues from
property, individual income, corporate income, and
sales taxes. Gray bars signify NBER recessions.

U.S. Municipal Markets

Total state and local government revenues
increased 2.6 percent from the previous year as
of mid-2017 (Chart 4.2.15). Overall, municipal
bond ratings improved in 2016, with upgrades
exceeding downgrades. In general, pricing of
municipal bonds remained stable. Municipal
analysts expect continued stability in the state
and local sector throughout 2017.
While current budget balances reflect the
prevalence of stable conditions, unfunded
public pension obligations and healthcare
benefit liabilities raise the risk of long-term
fiscal imbalances for many state and local
governments. Recent changes in accounting
standards require that pension and retiree
healthcare liabilities be reported on the
balance sheets of state and local government
entities. Bond ratings now also incorporate
long-term risks, with rating agencies updating
methodologies to better reflect the difficult
political and economic dynamics of funding
public pension liabilities.

The fiscal crisis of Puerto Rico is distinctive in
a sector with few defaults. The long-developing
problems on the island came to a head in 2016
with the default on many of the government’s
obligations. The Puerto Rico Oversight,
Management, and Economic Stability Act
(PROMESA), enacted in June 2016, established
a fiscal oversight board and restructuring
authority for Puerto Rico’s roughly $70 billion
in debt. The oversight board estimates the
10-year budget gap at $67 billion, which poses
a daunting challenge to the new governor’s
administration. The effects of Hurricane Maria
have placed further strain on Puerto Rico’s
fiscal situation. However, these issues have not
affected the broader municipal bond market.
In the broader market, net flows for municipal
bond funds remained positive in 2016
until November, with a shift to negative
flows attributed to changing interest rate
expectations and uncertainty about potential
changes in federal income tax policy (Chart
4.2.16). Net flows returned to positive levels
in 2017. Yield spreads for tax-exempt general
obligation bonds fluctuated within a narrow
range during the 2016 and 2017 (Chart 4.2.17).
Total municipal bond issuance of $446 billion
in 2016 was the largest ever, with issuers acting
prior to anticipated interest rate increases. As
of October 2017, year-to-date issuance remains
strong but is down from issuance over the same
period in 2016. As in 2014 and 2015, refundings
outpaced issuances of new capital (Chart
4.2.18). Demand for the low-default tax-exempt
municipal bonds continues to be fueled by the
aging of the retail investing population.

4.2.16 Long-Term Mutual Fund Flows: Municipal Bonds
4.2.16 Long-Term Mutual Fund Flows: Municipal Bonds
Billions of US$
15

As Of: Sep-2017

Billions of US$
15

10

10

5

5

0

0

-5

-5

-10

-10

-15

-15

-20
2007

2009

2011

2013

2015

-20

2017

Source: ICI, Haver Analytics

4.2.17 Municipal Bond Spreads
4.2.17 Municipal Bond Spreads
Basis Points
600
30-Year BBB GO
10-Year BBB GO
30-Year AAA GO
10-Year AAA GO
400

As Of: 31-Oct-2017

Basis Points
600

400

200

200

0

0

-200
-200
2005
2007
2009
2011
2013
2015
2017
Source: Thomson Reuters
Note: Spreads between municipal and
MMD, Haver Analytics
Treasury securities of comparable maturities.

4.2.18 Municipal Bond Issuance
4.2.18 Municipal Bond Issuance
Billions of US$
600
Refunding
New Capital
500

As Of: Oct-2017

Billions of US$
600
500

400

400

300

300

200

200

100

100

0

2005

2007

Source: Thomson
Reuters, SIFMA

2009

0
2017
YTD
Note: Excludes maturities of 13 months
or less and private placements.

2011

2013

2015

Financial Developments

29

4.3

4.3.1 Debt Ratios for Nonfinancial Corporations
4.3.1 Debt Ratios for Nonfinancial Corporations
Percent
28

As Of: 2017 Q2

Percent
50

26

45

24

40

22

Debt to GDP
(right axis)

20

35
Debt to Total Assets
(left axis)

18
16
1980

1985

1990

1995

Source: Federal Reserve,
Haver Analytics

2000

2005

2010

30

2015

25

Note: Gray bars signify NBER recessions.

4.3.2 Liquid Assets to Assets for Nonfinancial Corporations
4.3.2 Liquid Assets to Assets for Nonfinancial Corporations
Percent
7

As Of: 2017 Q2

Percent
7

6

6

5

5

4

4

3

3

2

2

1

1

0
1980

1985

1990

1995

2000

2005

2010

0

2015

Note: Liquid assets includes foreign deposits, checkable
deposits and currency, time and savings deposits,
money market fund shares, security repurchase
agreements, debt securities, and mutual fund shares.

Source: Federal Reserve,
Haver Analytics

4.3.3 Bank Business Lending Standards and Demand
4.3.3 Bank Business Lending Standards and Demand
Net Percentage
As Of: Oct-2017
100
Reporting Stronger
Demand from Large and
Medium-Sized Firms
50

Net Percentage
100

50

0

0
Reporting Tighter
Standards for Large and
Medium-Sized Firms

-50

-100
2000

2003

2006

Source: SLOOS,
Haver Analytics

30

2 0 1 7 F S O C / / Annual Report

2009

2012

2015

-50

-100

Note: Data includes firms with annual sales of $50 million
or more over the last 3 months. Net percentage balance of
responses. Gray bars signify NBER recessions.

Corporate Credit

Corporate Lending
While some indicators of the health of
corporate balance sheets point to rising
concerns in the sector, other indicators suggest
that firms are well positioned to absorb shocks.
Corporate debt growth continues to outpace
nominal GDP growth, pushing the ratio
of corporate debt to GDP further above its
historical average (Chart 4.3.1).
Corporate balance sheets were also supported
in 2016 and 2017 by an improvement in
earnings, which allowed firms to bolster their
cash holdings and increase their ratio of cash
to assets slightly (Chart 4.3.2). On balance,
total outstanding bank and nonbank loans to
corporations grew throughout 2016 and 2017.
In 2016, commercial and industrial (C&I) bank
loans grew by 7.3 percent but have remained
roughly flat in 2017. Throughout most of 2016
and 2017, some respondents to the Federal
Reserve’s Senior Loan Officer Opinion Survey
on Bank Lending Practices (SLOOS) reported
experiencing weaker demand for C&I loans
by firms, although a majority of respondents
reported no change. Of those reporting weaker
demand, common explanations included
decreased customer investment in plant or
equipment; decreased needs for merger or
acquisition financings; and greater competition
from nonbank lending sources. According
to the SLOOS, banks on average tightened
underwriting standards slightly during 2016 and
kept them generally unchanged in 2017 (Chart
4.3.3).
Both the delinquency rate on C&I loans and
the rolling 12-month default rate on speculative
grade loans steadily increased during the first
half of 2016 before declining in late 2016 and
the first half of 2017 (Charts 4.3.4, 4.3.5). The
rise in the delinquency and default rates were
driven primarily by distress in the energy and
materials sectors.

Corporate Credit Markets
Low interest rates continued to support robust
gross issuance of corporate bonds (Chart
4.3.6). Much of the supply of credit supported
refinancing existing debt. Investment grade
gross issuance reached a record high in 2016
for the fifth year in a row amid growing global
demand for U.S. credit, supported in part by
global central bank corporate bond buying
programs. In 2017, issuance in both highyield and investment grade bonds continued
to be robust; year-to-date issuance through
September 2017 slightly exceeded levels seen
over the same period in 2016.
Since reaching a five-year high in mid-February
2016, credit spreads have steadily fallen (Chart
4.3.7). In October 2017, investment grade
spreads reached their tightest level in over a
decade, while high-yield spreads declined to
their tightest level since mid-2014 and remained
well below their long-term median.

4.3.4 Noncurrent Commercial and Industrial Loans
4.3.4 Noncurrent Commercial and Industrial Loans
Percent
4

As Of: 2017 Q2

Percent
4

3

3

2

2

1

1

0
2000

2003

2006

2009

2012

0

2015

Note: Percent of total C&I loans.
Gray bars signify NBER recessions.

Source: FDIC, Haver Analytics

4.3.5 Rolling 12-Month Speculative-Grade Default Rate
4.3.5 Rolling 12-Month Speculative-Grade Default Rate
Percent
18
Bonds
Loans
15

As Of: Oct-2017

Percent
18
15

12

12

9

9

6

6

3

3

0
2001

2003

2005

2007

2009

2011

2013

2015

2017

0

Note: Issuer-weighted default rate.
“Speculative-grade” refers to noninvestment grade instruments.

Source: Moody’s Investors Service

4.3.6 Corporate Bond Issuance
4.3.6 Corporate Bond Issuance
As Of: Oct-2017
Trillions of US$
2.0
High-Yield
Investment Grade
1.6

Trillions of US$
2.0
1.6

1.2

1.2

0.8

0.8

0.4

0.4

0.0

2005

2007

Source: Thomson
Reuters, SIFMA

2009

2011

2013

2015

2017
YTD

0.0

Note: Includes all non-convertible corporate debt,
MTNs, and Yankee bonds, but excludes all issues
with maturities of 1 year or less and CDs.

Financial Developments

31

4.3.7 U.S. Cash Corporate Credit Spreads
4.3.7 U.S. Cash Corporate Credit Spreads
Basis Points
1000

As Of: 31-Oct-2017

Basis Points
400

800

300

600
200
400
100

Leveraged Loans (right axis)
High-Yield (right axis)
Investment Grade (left axis)

0
2010

2011

2012

2013

Source: Bank of America Merrill
Lynch, Federal Reserve, S&P LCD

200

2014

2015

2016

0

2017

Note: Secondary market spreads. Investment grade
and high-yield data represent option-adjusted spreads.
Dotted lines represent 1997-present median.

4.3.8 Distressed Ratios
4.3.8 Distressed Ratios
Percent
100
80

As Of: Oct-2017

Percent
100

High-Yield Index Distress Ratio
S&P LSTA Index Distress Ratio

80

60

60

40

40

20

20

0
1997

2001

Source: S&P LCD,
Merrill Lynch

2005

2009

2013

2017

0

Note: S&P LSTA Index Distress Ratio depicts the percentage of performing loans
trading below 80. Merrill Lynch High-Yield Index Distress Ratio depicts the
percentage of performing high-yield bonds with yields over Treasuries of 1,000 or
more basis points. The high-yield index uses data from the Merrill Lynch HighYield Index from Jan-1997 through Jul-2017 and data from the S&P U.S. HighYield Corporate Bond Index from Aug-2017 to present.

4.3.9 CLO Issuance
4.3.9 CLO Issuance
Billions of US$
140

As Of: Oct-2017

120

120

100

100

80

80

60

60

40

40

20

20

0

2001

2005

Source: S&P LCD

32

Billions of US$
140

2 0 1 7 F S O C / / Annual Report

2009

2013

2017
YTD

0

Although default rates on high-yield bonds
rose significantly throughout 2016, the majority
of defaults were concentrated in the energy
and materials sectors. Defaults on high-yield
bonds decreased in 2017 as performance in
these distressed sectors improved. Despite the
significant increase in default rates throughout
2016, the amount of high-yield bonds and
leveraged loans trading at distressed levels has
fallen significantly since March 2016 (Chart
4.3.8).
Although issuance of collateralized loan
obligations (CLOs) declined in 2016 from
the highs seen in 2014 and 2015, year-to-date
issuance as of the end of October 2017 has
exceeded the 2016 full-year total (Charts 4.3.9).
Issuers of CLOs remain the largest buyers of
leveraged loans (Chart 4.3.10). In 2016, several
CLO issuers began to issue risk retentioncompliant deals in advance of the December
2016 implementation of risk-retention
requirements.
Leveraged-loan mutual funds, which remain
the second largest buyers of leveraged loans,
posted their first annual inflows since 2013 as
interest rates on most leveraged loans began to
float, with LIBOR rising above the LIBOR floor
of most loans.

4.4

Household Credit

Following a sharp decline between 2008 and
2011, household debt has grown continuously
but slowly since 2012, increasing 3.2 percent in
2016 and an additional 1.6 percent in the first
half of 2017. Consumer credit, which accounts
for approximately 30 percent of total household
debt and which has driven most of the increase
since 2012, increased 6.7 percent in 2016 and an
additional 2.5 percent in the first half of 2017.
Household debt overall continues to remain
stable relative to disposable personal income,
and the ratio of household debt to income
remains well below the peak levels recorded
in the last decade (Chart 4.4.1). Aggregate
household net worth increased over this period,
driven by rising real estate and equity prices.

4.3.10 Leveraged Loan Primary Market by Investor Type
4.3.10 Leveraged Loan Primary Market by Investor Type
As Of: 2017 Q3
Percent
70
Finance & Security Companies
CLOs
Hedge Funds
60 Loan Mutual Funds
Insurance Companies
Banks

Percent
70
60

50

50

40

40

30

30

20

20

10

10

0
2005

2007

2009

2011

2013

0

2015

Source: S&P LCD

4.4.1 Household Debt as a Percent of Disposable Personal Income

4.4.1 Household Debt as a Percent of Disposable Personal Income

The major components of consumer credit—
student loans, auto loans, and credit card
debt—grew strongly in 2016 and the first half
of 2017. Student loan debt, which has increased
more than five-fold since 2004 due to rising
education costs, an increasing number of
borrowers, and slower repayment rates, now
exceeds $1.3 trillion in aggregate (Chart 4.4.2).
Easy credit conditions and increased demand
for motor vehicles spurred growth in auto loans,
with originations reaching their highest level
in over a decade. Credit card debt growth has
accelerated from prior years, and net issuance
of new cards to those with low credit scores has
neared pre-crisis levels. However, new credit,
as measured by increases in credit limits,
continues to be extended mostly to those with
relatively high credit scores.

Percent
150
125

As Of: 2017 Q2

Percent
150

Other Household Credit
Consumer Credit
Mortgages

125

100

100

75

75

50

50

25

25

0
1992

1996

2000

2004

Source: BEA, Federal Reserve,
Haver Analytics

2008

2012

0

2016

Note: Other Household Credit includes
debts of both households and nonprofits.

4.4.2 Components of Consumer Credit
4.4.2 Components of Consumer Credit
Billions of US$
1400

As Of: 2017 Q3

1200
1000

Billions of US$
1400
1200

Student Loans

1000

Auto Loans

800

800
600
400

Credit Card
Debt

Other Household
Debt

400
200

200
0
2003

600

2006

2009

Source: FRBNY Consumer Credit
Panel/Equifax, Haver Analytics

2012

2015

0

Note: Gray bar signifies
NBER recession.
Financial Developments

33

4.4.3 Household Debt Service Ratio
4.4.3 Household Debt Service Ratio
Percent
14

As Of: 2017 Q2

Percent
14

13

13

12

12

11

11

10

10

9
1980

1986

1992

Source: Federal Reserve,
Haver Analytics

1998

2004

2010

2016

9

Note: Ratio of debt-service payments to
disposable personal income. Seasonally
adjusted. Gray bars signify NBER recessions.

4.4.4 Owners’ Equity as Share of Household Real Estate
4.4.4 Owners’ Equity as Share of Household Real Estate
Percent
70

As Of: 2017 Q2

Percent
70

60

60

50

1990-Present
Average

50

40

40

30
1990

1994

1998

Source: Federal Reserve,
Haver Analytics

34

2 0 1 7 F S O C / / Annual Report

2002

2006

2010

2014

30

Note: Gray bars signify
NBER recessions.

Low interest rates helped keep the debt service
ratio—the ratio of debt service payments to
disposable personal income—unchanged in
2016 and the first half of 2017, near a 30-year
low (Chart 4.4.3). Although the ratio of debtservice payments to disposable personal income
for consumer credit has edged steadily upward
since 2012, this trend has been fully offset by a
decrease in the service ratio of mortgage debt.
The share of owners’ equity in household real
estate has increased by over 20 percentage
points since 2009 and is at levels that prevailed
in the pre-crisis period (Chart 4.4.4). Rising
housing prices drove a decline in the share of
mortgages with negative equity and the ratio
of outstanding mortgage debt to housing
prices. Although home purchases continued
to increase steadily, credit scores at mortgage
origination remained well above historical
averages. Borrowers with high or medium
credit scores generally have access to mortgages
backed by GSEs, while mortgage credit for
households with low credit scores remained
tight relative to the pre-crisis period.

Continued decreases in delinquency rates
on home equity lines of credit (HELOCs)
and mortgage debt pushed household debt
delinquencies to less than 5 percent, the
lowest year-end level since 2006 (Chart 4.4.5).
Decreased overall delinquency among subprime
borrowers, continued write-downs of mortgage
debt accumulated during the pre-crisis housing
bubble, and a shift from subprime to prime
mortgage balances drove the decline. The
delinquency rate on student loans remained
unchanged at 11 percent over the past few years
after nearly doubling between 2003 and 2013.
Despite elevated delinquency rates on student
loans, default risk is generally limited for private
lenders, since the federal government owns or
guarantees most student loan debt outstanding.
Signs of stress have emerged in auto lending
in recent years, driven by increased subprime
borrower delinquency. In the second quarter of
2017, auto loan balances that were delinquent
for at least 90 days reached 3.9 percent of
total auto loan balances, up from 3.3 percent
three years prior. In recent quarters, credit
card delinquency rates have increased slightly,
and the percent of credit card loans that were
delinquent for at least 90 days increased to 4.4
percent, compared to 3.7 percent three years
prior. Despite this trend, the balance of credit
card debt that was delinquent for at least 90
days has remained relatively stable at 7.4 percent
in the second quarter of 2017, compared to 7.8
percent three years prior.

4.4.5 Share of Household Debt by Delinquency Status
4.4.5 Share of Household Debt by Delinquency Status
Percent
15
12
9

As Of: 2017 Q3

Percent
15

Severely Derogatory
120+ Days Late
90 Days Late
60 Days Late
30 Days Late

12
9

6

6

3

3

0
2003

2005

2007

2009

2011

2013

2015

2017

0

Note: Severely derogatory loans are loans for

Source: FRBNY Consumer Credit which there are reports of a repossession,
Panel/Equifax, Haver Analytics
charge off to bad debt, or foreclosure.

Financial Developments

35

4.5.1 House Prices by Census Region
4.5.1 House Prices by Census Region
Index
350
300
250
200
150

Index
350

As Of: Aug-2017
Mountain
Pacific
West South Central
South Atlantic
West North Central
Total U.S.
New England
East South Central
Middle Atlantic
East North Central

300
250
200
150

100
50
1991

100

1995

1999

Source: FHFA, Haver Analytics

2003

2007

2011

2015

50

Note: Purchase-only price
index. Jan-1991 = 100.

4.5

Real Estate Markets

4.5.1

Residential Housing Markets

In 2016 and the first half of 2017, house prices
and home sales increased, and mortgage loan
performance improved, continuing multi-year
trends.
FHFA’s seasonally adjusted purchase-only house
price index for the United States continued to
increase, and both the national index and the
values for many census divisions are above their
earlier peaks in 2007. The national index rose
11 percent between 2015 year-end and August
2017, with the greatest house price growth
in the Mountain, Pacific, and South Atlantic
census divisions (Chart 4.5.1). A tight supply of
housing inventory has been a key factor behind
the recent increase in house prices, though
factors influencing demand for homes, such as
a strong job market and increased consumer
confidence, have also played a role.
The solid pace of job creation, high consumer
confidence, and low mortgage rates also
contributed to the rise in home sales in 2016
and 2017. Existing home sales increased to
their highest level since 2006, and new home
sales increased to their highest level since 2007.
Existing home sales were roughly in line with
levels that prevailed in the early 2000s, while
new home sales remain depressed relative to
historical averages—the 603,000 units sold over
the 12 months ending October 2017 is only
slightly higher than the lows of the recession
in the early 1990s and is comparable to levels
last seen regularly in the 1960s and 1970s.
Housing starts followed a similar pattern
to new home sales, generally rising in 2016
and 2017 but remaining below their longterm average. According to surveys of home
builders, expansion of new home construction
was hindered somewhat by land and labor
constraints.
Housing affordability, as determined by several
indicators such as income, house prices, and
interest rates, declined in 2016 and the first
three quarters of 2017 but remains well above

36

2 0 1 7 F S O C / / Annual Report

historical averages. The National Association of
Realtors index of affordability has declined by 8
percent during 2016 and the first two quarters
of 2017. While house prices have risen sharply
from post-crisis lows, strong employment gains
and low interest rates have partially offset the
effects of these higher prices.

4.5.2 Mortgage Originations and Rates
4.5.2 Mortgage Originations and Rates
Billions of US$
As Of: 2017 Q3
1200
Refinance (left axis)
Purchase (left axis)
1000

10

800
600

The homeownership rate dipped from 63.8
percent at year-end 2015 to 62.9 percent
in mid-2016—its lowest level since 1965—
before rebounding in the third and fourth
quarters. The rate remained steady in 2017
ending the third quarter at 63.9 percent.
With homeownership well below the highs of
the mid-2000s, rental vacancy rates dropped
below 7.0 percent in 2016, representing their
lowest level in more than 20 years, before rising
slightly in 2017, ending the third quarter at 7.5
percent.

Percent
12

8
30-Year Mortgage Rate
(right axis)

6

400

4

200

2

0
1992

1996

2000

Source: Mortgage Bankers
Association, Freddie Mac
Primary Mortgage Market Survey

2004

2008

2012

2016

0

Note: Originations represent all 1-4 family homes.
Originations calculated as 4-quarter moving averages.
Mortgage rates calculated as quarterly averages.

Mortgage Originations, Servicing, and Loan
Performance
Total mortgage originations increased 22.1
percent in 2016, boosted by lower interest rates
and rising home sales. Purchase originations
rose by $149 billion to $1,052 billion, reaching
their highest level since 2007, while refinance
originations increased by $223 billion to $999
billion (Chart 4.5.2). Refinance origination
volume was bolstered by low mortgage rates
for much of 2016, with the 30-year fixed-rate
mortgage rate averaging 3.65 percent for the
year, compared to an average of 3.85 percent in
2015. The 30-year fixed-rate mortgage rate fell
in concert with long-term Treasury yields in the
first half of 2016, reaching a low of 3.41 percent
in July, before rising approximately 90 basis
points in the fourth quarter of 2016. Mortgage
rates have generally declined over the course
of 2017 as demonstrated by the Freddie Mac
Primary Mortgage Market Survey for 30-year
fixed rate mortgages which ended the third
quarter at 3.83 percent.
Nonbanks continued to expand their share
of the mortgage origination market in 2016,
accounting for 51.0 percent of originations
among the top 100 lenders—an increase from
Financial Developments

37

4.5.3 Mortgage Delinquency and Foreclosure
4.5.3 Mortgage Delinquency and Foreclosure
Percent
6

As Of: 2017 Q3

Percent
6

5

5

4

4

3

3

Mortgage
Foreclosure
Inventory

2

2
Mortgage Payments
90+ Days Past Due

1
0
2000

2003

2006

2009

2012

Source: Mortgage Bankers
Association, Haver Analytics

1
0

2015

Note: Percent of all mortgages.

4.5.4 Mortgages with Negative Equity
4.5.4 Mortgages with Negative Equity
Billions of US$
900

As Of: 2017 Q2

750

450

150
0
2010

25

Percent of
Residential
Mortgages with
Negative Equity
(right axis)

600

300

Percent
30

20
15

Value of Negative Equity in
Residential Mortgages
(left axis)

2011

2012

2013

10
5
2014

2015

2016

0

2017

Source: CoreLogic

4.5.5 Purchase Origination Volume by Credit Score
4.5.5 Purchase Origination Volume by Credit Score
As Of: 2016

Percent of Originations
100

Percent of Originations
100

>760

80

80

720-759

60

60

700-719

40

40

660-699
20
0
2000

<600
2002

2004

2006

2008

Source: McDash, FHFA calculations

38

20

600-659

2 0 1 7 F S O C / / Annual Report

2010

2012

2014

0
2016

Note: Includes first
lien purchases only.

48.4 percent in 2015. Six of the ten largest
lenders in 2016 were nonbanks, whereas in
2015, nonbanks comprised four of the ten
largest lenders.
The performance of outstanding mortgage
loans continued to improve, with delinquencies,
foreclosures, and the number of households
with negative equity all declining during 2016
and 2017. The number of loans in foreclosure
fell to 1.5 percent of outstanding loans as of
year-end 2016 from 1.8 percent as of year-end
2015, and the number of loans 90 or more
days past due fell to 1.6 percent of outstanding
loans from 1.7 percent over the same period
(Chart 4.5.3). Foreclosures and delinquencies
continued to decline in the first three quarters
of 2017 as well. The average loan-to-value ratio
for all outstanding mortgages in the United
States fell to 55.5 percent as of year-end 2016
from 57.6 percent as of year-end 2015. The
number of properties with negative equity and
the amount of negative equity in residential
mortgages also continued to decline in 2016.
The amount of negative equity fell from
$309 billion to $286 billion across 3.2 million
properties (Chart 4.5.4). Higher house prices,
completed foreclosures on underwater loans,
loan modifications, and the amortization of
older loans have all contributed to the steady
decline in the number of loans with negative
equity. However, there remains wide geographic
variation in the prevalence and severity of
negative equity across the country.
The average FICO score for new mortgages
continued to increase in 2016, and remains
well above the levels observed in the mid-2000s
(Chart 4.5.5). Underwriting standards were
little changed in 2016, with the average debtto-income ratio and the average loan-to-value
ratio very similar to 2015. Lender surveys from
the Federal Reserve and bank examiner surveys
from the OCC also show that lenders have
remained conservative with their underwriting
of mortgage credit.

The federal government continues to back the
majority of new mortgages, both directly—
through agencies including the Federal
Housing Administration (FHA) and U.S.
Department of Veterans Affairs (VA)—and
indirectly through the GSEs, although the GSEs
have reduced their credit exposures through
risk transfer programs. The share of the market
backed by the federal government directly and
by the GSEs has stabilized at approximately 70
percent of total originations, after shrinking
from 2009 through 2014 (Chart 4.5.6). New
mortgages not securitized by Ginnie Mae or the
GSEs continue to be held in lender portfolios
instead of being securitized in the private-label
market. Ginnie Mae, Fannie Mae, and Freddie
Mac backed nearly all residential mortgagebacked security (RMBS) issuance in 2016.
Agency RMBS issuance was $1.6 trillion in 2016,
compared to $86 billion of non-agency RMBS
issuance (Chart 4.5.7). Non-agency RMBS
issuance declined from $97 billion in 2015 but
remained higher than in any other year since
2007.
Nonbank firms continued to purchase
mortgage servicing rights (MSRs) from banks
and thrifts in 2016. Among the 25 largest
servicers, nonbanks accounted for nearly 38
percent of servicing volume as of the third
quarter of 2017, up from 32 percent at year-end
2015 (Chart 4.5.8). Nonbank servicers have
primarily purchased MSRs from larger banks,
as the share of servicing volume held by smaller
banks rose in 2016 alongside that of nonbanks.
While nonbanks have broadly increased their
share of the mortgage servicing market, they
have become especially dominant in the
servicing of Ginnie Mae mortgages, for which
they service more than half of outstanding
loans. Nonbank servicers have also increased
their market share among GSE loans, servicing
36 percent of Fannie Mae loans and 29 percent
of Freddie Mac loans as of September. The
growth of nonbank servicers highlights the
importance of risk management procedures
and compliance with regulatory standards
among these firms. In particular, large and
growing MSR portfolios can entail significant

4.5.6 Mortgage Originations by Product
4.5.6 Mortgage Originations by Product
As Of: 2017 Q3

Percent of Originations
100

Percent of Originations
100

Private Portfolio
and Securitized

80

80
60

60
GSE

40

40

20

20
FHA / VA
0
2000

2003

2006

2009

2012

0

2015

Source: Inside Mortgage Finance

4.5.7 RMBS Issuance
4.5.7 RMBS Issuance
Trillions of US$
3.5
Non-Agency
Agency
3.0

Trillions of US$
3.5

As Of: Oct-2017

3.0

2.5

2.5

2.0

2.0

1.5

1.5

1.0

1.0

0.5

0.5

0.0

2002

2005

2008

2011

Source: Fannie Mae, Freddie Mac, Ginnie Mae,
Bloomberg, L.P., Thomson Reuters, SIFMA

2014

2017
YTD

0.0

4.5.8 Mortgage Servicing Market
4.5.8 Mortgage Servicing Market
Trillions of US$
10
Nonbank
Bank
8

As Of: 2017 Q3

Trillions of US$
10
8

6

6

4

4

2

2

0

2011

2012

2013

2014

Source: Inside Mortgage Finance

2015

0
2016
2017
Note: Data covers top 25
servicers in each quarter.
Financial Developments

39

interest rate risk, which requires careful and
prudent risk management over long periods
of time. Consequently, the GSEs, Ginnie Mae,
and the CFPB have issued new requirements
for nonbank servicers to mitigate some of these
risks.

4.5.2

Government-Sponsored Enterprises

Fannie Mae and Freddie Mac continued to
reduce the mortgage credit risk borne by
taxpayers and expand the role of private capital
in the mortgage market via their credit risk
transfer transactions. Through the issuance of
Fannie Mae’s Connecticut Avenue Securities
(CAS) and Credit Insurance Risk Transfer
(CIRT) transactions, in 2016, the company
transferred a portion of the mortgage credit
risk on single-family mortgages with an unpaid
principal balance (UPB) of over $330 billion at
the time of the transactions. Cumulatively, $648
billion in UPB of the company’s single-family
loans were covered by a credit risk transfer
transaction as of year-end 2016, primarily
through CAS and CIRT transactions. By June
2017, $798 billion in UPB has been transferred.
Freddie Mac transferred a portion of the
mezzanine credit risk on approximately $215
billion in UPB of single-family mortgage
loans in 2016, primarily through its issuance
of Structured Agency Credit Risk (STACR)
securities and through its Agency Credit
Insurance Structure (ACIS) transactions. In the
first half of 2017, Freddie Mac transferred credit
risks on an additional $170 billion in UPB.
Since it began undertaking credit risk transfers,
as of the second quarter of 2017, Freddie
Mac has executed transactions covering $771
billion in UPB. Additionally, both enterprises
launched vehicles in 2016 to transfer mezzanine
credit risk to reinsurer affiliates of mortgage
insurance companies. These vehicles provide
coverage on a “flow” basis, meaning the risk
transfer will have been committed prior to the
enterprises’ acquisition of the covered loans and
that the insurance coverage will be effective as
soon as the loans are acquired. Both enterprises
conducted additional transactions in 2017.

40

2 0 1 7 F S O C / / Annual Report

A wide array of institutional investors have
purchased mortgage credit risk from the GSEs,
with over 150 investors participating in the
CAS and STACR programs. Roughly half of
the mortgage credit risk transferred through
these programs has been purchased by asset
managers, while hedge funds have purchased
another third of the total. The GSEs have sold
the remainder to a mix of banks, insurance
companies, real estate investment trusts
(REITs), and sovereign wealth funds.

4.5.3

Commercial Real Estate

CRE property prices increased in 2016, with
multifamily properties outpacing the other CRE
sectors. In 2016, the national CRE property
price index grew 8.4 percent, and in the first
ten months of 2017 the index grew another 7.9
percent (Chart 4.5.9). Prices on multifamily
properties have grown much faster than the
national average, as have prices on commercial
properties in major markets. Box B provides a
further discussion of valuations in CRE.
Outstanding CRE loans, including multifamily
residential loans, grew 6.5 percent in 2016
and have continued to grow in 2017 reaching
$3.7 trillion, an increase of 2.7 percent from
year end 2016. As a ratio to GDP, CRE loans
increased to 19 percent in the second quarter
of 2017 from 18 percent in 2015, but the ratio
is still lower than the peak level of 23 percent
in 2008. Notably, banks and life insurance
companies continued to expand CRE loan
portfolios. CRE loans outstanding at U.S.
banks and life insurers reached $2.0 trillion
and $448 billion in the second quarter of 2017,
respectively, an increase of 8 percent and 10
percent since the prior year (Chart 4.5.10).
While loans held in commercial mortgagebacked securities (CMBS) and REITs have
fallen over the past few years, four quarter
CMBS issuance grew 19 percent from the third
quarter 2016 and is on track to well exceed total
2016 volume, driven mostly by single-borrower
issues.

4.5.9 Commercial Property Price Indices
4.5.9 Commercial Property Price Indices
Index
160
140

As Of: Oct-2017

Index
160

Major Markets
National

140

120

120

100

100

80

80

60

60

40
2008

2010

2012

2014

Source: Real Capital Analytics

40

2016

Note: Jan-2008 = 100.

4.5.10 CRE Loans by Institution
4.5.10 CRE Loans by Institution
Trillions of US$
4

3

As Of: 2017 Q2

Trillions of US$
4

Insurers
CMBS Issuers and REITs
Government Agencies
Banks

3

2

2

1

1

0
2000

2003

2006

2009

2012

2015

0

Source: Federal Reserve, Haver Analytics

Financial Developments

41

4.5.11 Percent of Banks Tightening Loan Standards
4.5.11 Percent of Banks Tightening Loan Standards
Net Percentage
100

As Of: Oct-2017

Net Percentage
100

All CRE Loans

75

75

50

50

25

25

0

0

-25
-50

Net % Banks
Reporting Stronger
Demand

-75
-100
2000

2003

2006

2009

-25

Other CRE Types
Constr./Land Dev.
Multifamily

2012

-50
-75
-100

2015

Source: Federal Reserve, Haver Analytics

4.5.12 CMBS Issuance
4.5.12 CMBS Issuance
As Of: 2017 Q3

Billions of US$
250

Billions of US$
250

Agency
Non-Agency

200

200

150

150

100

100

50

50

0

2001

2003

2005

2007

2009

2011

2013

2015

2017
YTD

0

Source: Inside Mortgage Finance

4.5.13 CMBS Senior Debt Spreads
4.5.13 CMBS Senior Debt Spreads
Basis Points
200

As Of: 27-Oct-2017

150

150

100

100

50

50

0
2012

2013

2014

Source: J.P. Morgan

42

Basis Points
200

2 0 1 7 F S O C / / Annual Report

2015

2016

2017

0

Note: Spreads are 10-year
Swaps to Senior AAA CMBS.

Despite reporting general increases in demand
for CRE loans over the past two years, the
Federal Reserve’s SLOOS also showed that
banks have reported tightened lending
standards since 2015 as a result of concerns
about the near-term fundamental outlook
and a reduced tolerance for risk (Chart
4.5.11). In particular, a significant number of
banks reported tightening of standards for
multifamily loans.
CRE delinquency rates generally remained
stable or improved slightly in 2016, with the
most notable improvement reflected in the
delinquency rate of the CRE loans held by
commercial banks. Between the fourth quarter
of 2016 and the second quarter of 2017, the
delinquency rate fell steadily from 1.1 percent
to 0.8 percent, and the CRE charge-off rate
declined to near-zero. Delinquency rates on
commercial mortgage-backed securities, an
exception to this improving trend, rose in 2016
and into 2017. The increase is primarily the
result of the higher balance of maturing loans
originated in 2006 now failing to refinance, as
underwriting conditions were much looser than
today. Preliminary data for the third quarter
of 2017 indicate that delinquency rates are
improving marginally.
Non-agency CMBS in 2016 reversed the multiyear trend of increasing issuance, falling
25.5 percent year-over-year. However, agency
issuance of CMBS that finance multifamily
loans rose 23.7 percent during the same period,
accounting for over 60 percent of total CMBS
issuance (Chart 4.5.12). A notable change in
the CMBS market occurred on December 24,
2016 when CMBS issuers began to comply with
a risk retention rule that requires securitizers
to retain credit risk of the transactions they
sponsor.
After experiencing significant market volatility
in the first quarter of 2016, CMBS spreads
tightened as the broader credit market
stabilized and CMBS issuance resumed (Chart
4.5.13).

Box B: Valuations in Commercial Real Estate Markets

In an environment of rising but still low yields, as is
highlighted elsewhere in this report, financial market
participants may be tempted to engage in greater
risk-taking (see Section 6.4). Such behavior may
manifest itself as rapid growth in asset prices or
outstandings. The Council’s 2016 annual report noted
that CRE prices had continued to climb and that
capitalization rates had fallen. Since then, prices have
risen further, capitalization rates have remained at
historically low levels, and growth in commercial bank
CRE lending has been robust.
Price growth in all major categories of CRE has
been rapid since the sharp declines posted during
the financial crisis. One way of evaluating the extent
to which prices are in line with fundamentals is to
examine the capitalization rate (or “cap rate”)—the
ratio of the CRE property’s net operating income
divided by its current market value. This measure may
be thought of as a CRE analogue to an inverse priceto-earnings (P/E) ratio; thus, a low cap rate could be
indicative of stretched valuations in the industry. Cap
rates have fallen in recent years and are currently at a
low level (Chart B.1).

B.1 CRE Capitalization Rates and Spreads
B.1 CRE Capitalization Rates and Spreads
Percent
12

Basis Points
600

As Of: 2017 Q2

500

10

400

8

300
6
4
2
1995

CRE Cap Rate Spread to
10-Year Treasury
(right axis)

Aggregate
CRE Cap Rate
(left axis)

200
100

1998

2001

Source: CoStar Group

2004

2007

2010

2013

2016

0

Note: Dotted lines represent
1995-present average.

Growth of CRE loans has also been robust in the
recovery from the financial crisis, and has been
particularly strong at commercial banks and
insurance companies over the past two years. While
CRE prices are not being fully supported by property
level income growth, there are also concerns about
inappropriate risk pricing or underwriting standards
and the extent to which such lending is concentrated
among particular institutions.
CRE holdings at U.S. banks with less than $50
billion in assets grew faster than these banks’
holdings of other asset classes in 2016, resulting in
higher concentrations of CRE assets than in 2015.
Higher underlying valuations may leave such banks
particularly vulnerable to the consequences of CRE
price declines.
Results from the most recent Federal Reserve SLOOS
indicated that commercial banks have reported
tightened standards on all three major categories
of CRE lending (see Section 4.5.3). Responses to
the July 2016 SLOOS survey also indicated that the
current levels of standards on all major categories
of such loans are tighter than the midpoints of the
ranges that have prevailed since 2005. Furthermore,
bank examiners surveyed for the OCC’s 2016 Survey
of Credit Underwriting Practices indicated that
although they considered the magnitude of growth
in CRE products to be an important credit-related
issue, excessive credit risk is a concern in only a small
number of banks.
Loan levels relative to GDP for nonfarm nonresidential
properties and multifamily properties have been rising,
but remain below pre-crisis levels for construction
and land development loans (Chart B.2).
Retail commercial property type continues to be
in focus as more shoppers purchase goods online
and retailers with brick-and-mortar stores reduce
physical footprint. In particular, regional malls may be

Financial Developments

43

problematic for investors if default rates begin to
rise coupled with the larger losses given default.
Moody’s has noted that the liquidated loans on
30 malls that have defaulted since 2008 lost 75
percent of their principal on average, in contrast
to the 45 percent average for all CMBS loans
liquidated over the same period. Since 2016 there
has been an uptick in the percentage of retail
loans that have defaulted on payment or were
sent to special servicing.
Hence, CMBS delinquency rates could increase
as the CMBS maturities occur. Indeed, the CMBS
delinquency rate rose to 5.44 percent in August
2017, up from 4.68 percent a year earlier. This
increase was driven largely by loans that were
originated pre-crisis.

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2 0 1 7 F S O C / / Annual Report

B.2 CRE Loan Levels to GDP

B.2 CRE Loan Levels to GDP
Percent
8

6

As Of: 2017 Q3

Percent
8

Nonfarm Nonresidential

6

4

4

Construction and Land
Development

2

2
Multifamily
0
2002

2004

2006

2008

2010

Source: FDIC, BEA, Haver Analytics

2012

2014

2016

0

Note: Loans held at FDICinsured commercial banks.

4.6

Foreign Exchange

Despite depreciating in 2017, the dollar remains
stronger, on a trade weighted basis, than its
longer-term historical average (Chart 4.6.1).
The dollar appreciated sharply in late 2014
and early 2015 amidst diminishing monetary
accommodation in the United States relative
to other major economies and increased
concerns about the global growth outlook. The
dollar exhibited broader stability against many
currencies over the first three quarters of 2016,
with notable exceptions of the Japanese yen
and British pound. The dollar rallied against
most currencies in the final two months of
2016, supported by increased expectations for
stronger U.S. growth (Chart 4.6.2). The dollar
depreciated broadly over the first three quarters
of 2017 as foreign growth accelerated and the
pace of U.S. monetary normalization remained
gradual.
The Japanese yen appreciated relative to the
dollar over the first half of 2016, bolstered by
safe haven inflows and repatriation of overseas
retained earnings. This movement against the
dollar largely retraced in the second half of
2016, particularly after the U.S. presidential
election and accompanying shift in expectations
concerning the U.S. growth outlook. Over the
first three quarters of 2017, the yen appreciated
modestly against the dollar.

4.6.1 Nominal U.S. Dollar Trade-Weighted Index
4.6.1 Nominal U.S. Dollar Trade-Weighted Index
Index
140

As Of: Oct-2017

Index
140

130

130

120

120

110

110

100

100

90
1998

2001

Source: Federal Reserve,
Haver Analytics

2004

2007

2010

2013

2016

90

Note: Nominal U.S. Dollar Trade-Weighted Index is a weighted
average of the foreign exchange value of the U.S. dollar against
the currencies of a broad group of major U.S. trading partners.

4.6.2 U.S. Dollar Performance
4.6.2 U.S. Dollar Performance
Index
150
130

As Of: 31-Oct-2017

Index
150

Vs. Euro
Broad Dollar Index
Vs. EM
Vs. Yen

130

110

110

90

90

70

70

50
2008

2010

Source: Federal Reserve,
Haver Analytics

2012

2014

2016

50

Note: 1-Jan-2008 = 100. EM is a weighted average of the FX
values of the dollar against a subset of currencies in the broad
index that do not circulate widely outside the country of issue.

The British pound experienced high volatility
in 2016, particularly after the UK referendum
on EU membership in June. The pound fell 8
percent against the dollar on the day following
the referendum and 11 percent intraday, the
largest such declines in the currency on record
(dating to 1971). Over the remainder of 2016,
the pound declined by an additional 9.5 percent
against the dollar. The pound experienced
particularly sharp depreciation on October
7, falling as much as 9 percent intraday, likely
driven by a variety of factors including high
demand for hedging and limited liquidity.
Coordinated G-7 public communication
immediately following the UK referendum
outcome supported investor sentiment, as did
Financial Developments

45

4.6.3 Change in U.S. Dollar Exchange Rates
4.6.3 Change in U.S. Dollar Exchange Rates
Percent
40
20

As Of: 31-Oct-2017
Year-over-Year Change
Change Since Mid-2014

0

20
0

-20

-20

-40

-40

-60

-60

Source: Wall Street Journal, Haver Analytics

46

Percent
40

2 0 1 7 F S O C / / Annual Report

accommodative monetary and fiscal policy
responses by the UK authorities. The pound
partially rebounded in 2017 as near-term
growth proved more resilient than expected,
and more recently, expectations shifted towards
higher interest rates.
After facing considerable downward pressure
in late 2014 and in 2015, emerging market
currencies experienced divergent performance
against the dollar in 2016 (Chart 4.6.3). In
particular, the Mexican peso and Turkish
lira continued to weaken, although the peso
retraced the majority of its 2016 losses against
the dollar over the first half of 2017. Emerging
market currencies generally appreciated in 2017
on improved growth prospects in EMEs over
the period.

4.7

Equities

Developed and emerging market equities saw
generally strong performances in 2016 and the
first ten months of 2017 (Chart 4.7.1). Equity
prices in the United States and other major
developed countries generally fell over the
first few months of 2016 but have rebounded
steadily over the past year and a half. The
increase in equity prices over the past year
may reflect expectations for expansionary U.S.
fiscal policies, along with stronger economic
data and earnings growth in both emerging
market and advanced economies. The S&P
500 index’s composite trailing P/E and P/B
ratios rose above their 20-year averages in 2016
and remained elevated in 2017 (Chart 4.7.2).
Analysis by the International Monetary Fund
(IMF) suggests that over 2016, U.S. equity
valuations received increasing support from low
yields and a narrowing equity premium.
Although equity price gains were widespread
over 2016 and 2017, there were some notable
differences in performance between sectors.
The technology sector was the top performer
over 2016 and 2017, supported by strong
corporate earnings. Additionally, the financial
and industrial sectors outperformed the market
in months following the U.S. presidential
election, with financials benefiting from a
steeper yield curve, and industrials benefiting
from the prospect of new infrastructure
spending. While the energy sector has
recovered from its January 2016 lows, the sector
continues to underperform in 2017, as oil and
natural gas prices remain range bound.
U.S. equity market implied volatility, as
measured by the Chicago Board Options
Exchange Volatility Index (VIX) averaged
15.8 over 2016 and 11.2 in the first ten months
of 2017, well below its twenty year historical
average (Chart 4.7.3). The VIX peaked at 28.1
in February 2016 and spiked again around the
June 2016 UK referendum to leave the EU and
the November 2016 U.S. presidential election.
Market volatility declined relatively quickly after
these events, and on November 3, 2017, the VIX
closed at a record low.

4.7.1 Returns in Selected Equities Indices
4.7.1 Returns in Selected Equities Indices
Change from
31-Oct-2016 to
31-Oct-2017

Annual growth rate
from 31-Oct-2012 to
31-Oct-2017

Major Economies
U.S. (S&P)
Euro (Euro Stoxx)
Japan (Nikkei)
U.K. (FTSE)
Selected Europe
Germany (DAX)
France (CAC)
Italy (FTSE MIB)
Spain (IBEX)

21.1%
20.9%
26.3%
7.7%

12.8%
9.9%
19.8%
5.3%

24.0%
22.0%
33.1%
15.1%

12.7%
9.9%
8.0%
6.1%

Emerging Markets
MSCI Emerging Market Index
Brazil (Bovespa)
Russia (MICEX)
India (Sensex)
China (Shanghai SE)
Hong Kong (Hang Seng)
South Korea (KOSPI)

23.3%
14.5%
3.8%
18.9%
9.4%
23.2%
25.7%

2.3%
5.4%
7.7%
12.4%
10.4%
5.5%
5.7%

Source: Capital IQ

4.7.2 S&P 500 Key Ratios
4.7.2 S&P 500 Key Ratios
Ratio
30

As Of: 31-Oct-2017

Ratio
3.5
3.0

25
P/B Ratio
(right axis)

2.5

20
2.0
15

Trailing
P/E Ratio
(left axis)

10
2007

2009

2011

Source: Bloomberg, L.P.

2013

1.5

1.0
2015
2017
Note: Dotted lines represent
Sep 1997-present median.

4.7.3 S&P 500 Volatility
4.7.3 S&P 500 Volatility
Index
100

As Of: 31-Oct-2017

80

80

60

60

VIX

40

Oct 1997 Present Average

20
0
2007

Index
100

40
20

2009

Source: Capital IQ

2011

0
2013
2015
2017
Note: In Sep 2003, CBOE revised
the methodology to calculate VIX.

Financial Developments

47

4.8

4.8.1 Commodities
4.8.1 Commodities
Index
200
175
150

As Of: 31-Oct-2017
Agriculture (S&P GSCI Agricultural Spot Index)
Industrial Metals (S&P GSCI Industrial Metals Spot Index)
Crude Oil (WTI)
Natural Gas

Index
200
175
150

125

125

100

100

75

75

50

50

25

25

0
2008

2010

2012

Source: Energy Information
Administration, S&P, Haver Analytics

2014

2016

0

Note: 02-Jan-2008 = 100.

Commodities

Commodity prices generally rebounded, on
net, in 2016, from the declines posted in the
preceding year (Chart 4.8.1). The overall S&P
GSCI Spot Index increased 27.8 percent in
2016, largely reflecting a 45.0 percent increase
in oil prices (which have a majority weight in
the index). Commodity prices have been largely
flat in 2017, with the overall S&P GSCI Spot
Index up 4.3 percent year-to-date as of October
31, 2017.
Early in 2016, the continued fall in oil and
natural gas prices had called into question the
debt repayment capacity of highly-leveraged
energy-related companies, specifically in
the upstream exploration and production
subsector. Oil prices began to rise late in the
first quarter of 2016, against the backdrop
of slowing U.S. domestic production, public
comments by officials from the Organization
of Petroleum Exporting Countries (OPEC)
pointing to possible tightening in supply, and
improved oil demand outlook.
OPEC and major non-OPEC oil producing
nations entered into a production limiting
agreement in November 2016, which has put
an implicit floor under global benchmark oil
prices. In May 2017, OPEC and major nonOPEC oil producing nations agreed to extend
production cuts through March 2018, and West
Texas Intermediate (WTI) crude oil prices have
remained between $40 and $60 per barrel in
the first ten months of 2017.
Prices of industrial metals rose in 2016 and
2017, with the S&P GSCI Industrial Metals
Index climbing 18.9 percent in 2016, and an
additional 25.0 percent year-to-date through
October 31, 2017. The recent increase is likely
due in part to stronger than expected global
growth, but also due to prospective supply cuts
in some metals. Anti-dumping restrictions may
have led to increases in some metal prices, and
copper prices were affected by disruptions to
mining, rising over 13.3 percent in the fourth
quarter of 2016. Meanwhile, agricultural

48

2 0 1 7 F S O C / / Annual Report

commodities have been flat in 2016 and 2017 as
the effects of El Niño led to a shift in seasonal
supplies. The S&P GSCI Agriculture Index
peaked in June 2016, with a 23.8 percent rally,
but ended 2016 just 2.6 percent higher, and is
down 4.9 percent year-to-date as of October 31,
2017.

4.9.1 Commercial Paper Outstanding
4.9.1 Commercial Paper Outstanding
Trillions of US$
2.5

As Of: 25-Oct-2017

Trillions of US$
2.5

Other
Foreign Nonfinancial
Foreign Financial
Domestic Nonfinancial
Domestic Financial
Asset-Backed

2.0
1.5

2.0
1.5

4.9

Wholesale Funding Markets

1.0

1.0

4.9.1

Unsecured Borrowing

0.5

0.5

Commercial Paper
After reaching a nearly two-year high of $1.1
trillion in April of 2016, total commercial
paper (CP) outstanding fell sharply through
the remainder of 2016, reaching approximately
$914 billion in early January 2017 before rising
back to $1.1 trillion in October 2017 (Chart
4.9.1). Lower volumes in foreign financial CP
accounted for the majority of the decline,
falling $60 billion in 2016 to $201 billion,
before rebounding to $266 billion as of October
2017. Domestic financial CP outstanding also
fell through much of 2016 before rebounding
somewhat in 2017, reaching $232 billion at
the end of the October 2017. The decline in
this segment of the market was driven by a
reduction in CP issued by U.S. subsidiaries of
foreign banks. Despite this decline, outstanding
CP of domestic financial entities with foreign
bank parents remains more than twice as large
as outstanding CP issued by domestic financial
entities with U.S. parents. Market participants
have noted the October 2016 implementation of
recent rules pertaining to MMFs contributing
to decreased demand for financial CP in 2016
(see Box C). However, the CP investor base
broadened somewhat in 2016, as declines in
purchases by prime MMFs were partially offset
by purchases from new investors, including
nonfinancial corporates, pension funds, and
municipalities.

0.0
2001

2004

Source: Federal Reserve

2007

0.0
2010
2013
2016
Note: Domestic includes CP issued in
the U.S. by entities with foreign parents.

Interest rates on overnight, AA-rated CP were
steady during the first half of 2016. In the
second half of 2016, interest rates across all
types of 90-day, AA-rated CP rose steadily as
demand from prime MMFs waned ahead of
Financial Developments

49

4.9.2 Commercial Paper Interest Rates
4.9.2 Commercial Paper Interest Rates
Percent
1.5
1.2
0.9

As Of: 31-Oct-2017

Percent
1.5

90-Day AA-Rated ABCP
90-Day AA-Rated Financial
90-Day AA-Rated Nonfinancial
Overnight AA-Rated ABCP
Overnight AA-Rated Financial
Overnight AA-Rated Nonfinancial

1.2
0.9

Large Time Deposits

0.6

0.6

0.3

0.3

0.0
Jan:15

Jul:15

Jan:16

Jul:16

Source: Federal Reserve Bank of St. Louis

the implementation of the new MMF rules in
October of 2016. In late 2016 and 2017, interest
rates increased along with FOMC decisions to
raise the target range for the federal funds rate
in December 2016 and March and June in 2017
(Chart 4.9.2).

Jan:17

Jul:17

0.0

Large time deposits at commercial banks, which
include wholesale certificates of deposit (CDs),
fell steadily over the second half of 2016 before
rising slightly in 2017 to reach approximately
$1.59 trillion as of October. This total is 2.6
percent lower than at year-end 2015 and 26
percent below its 2008 peak. As with financial
CP, market participants have attributed much
of the decrease in 2016 to lower demand from
prime MMFs as a result of recent reforms.

4.9.2

Secured Borrowing

Repo Markets
Activity in the U.S. repo market has been
generally stable over the past year. The market
consists of two segments: tri-party repo, in
which settlement occurs through a system
operated by a clearing bank that provides
collateral management services, and bilateral
repo, which typically refers to all activity not
settled within the tri-party system. The FICC
provides CCP services to portions of both
segments of the repo market, though neither
segment is fully centrally cleared. The triparty system includes the General Collateral
Finance (GCF) repo service, a FICC-operated
facility that provides blind-brokered trades,
while the bilateral system includes the FICCoperated Delivery-versus-Payment (DVP) repo
service. FICC GCF repo service was recently
expanded to allow certain institutional
investors to participate in the new Centrally
Cleared Institutional Triparty Service. FICC
also expanded member-sponsored services
to permit additional clients to lend cash and
U.S. treasuries via their sponsoring members
throughout the day.

50

2 0 1 7 F S O C / / Annual Report

Total repo market borrowing by primary
dealers ranged between $2.0 and $2.3 trillion in
2016 and 2017 through October (Chart 4.9.3).
The fraction of financing at different maturities
has also remained relatively flat over the year,
with about two-thirds of financing occurring
overnight, against primarily high quality fixed
income instruments, such as government and
agency securities. Of the remaining one-third,
slightly more volume was funded at maturities
one month or longer than at terms shorter than
one month.
The tri-party market will undergo a structural
change in the coming years, as JPMorgan Chase
announced in July 2016 that it plans to cease
settlement of government securities by yearend 2018, which will leave Bank of New York
Mellon as the sole tri-party repo clearing bank
for these securities. Separately, in July 2016,
FICC suspended the execution of GCF repo
transactions on an interbank basis, meaning
that GCF dealers are now only able to execute
transactions with market participants that also
settle with the same clearing bank.
Tri-party activity exclusive of GCF transactions
trended slightly upwards over the past year
and a half, from $1.6 trillion in March 2016 to
$1.9 trillion in October 2017 (Chart 4.9.4). The
composition of collateral in these transactions
continued to drift towards safer asset classes
over the period, as it had in the prior year, with
the dollar volume of transactions backed by
Fedwire-eligible collateral edging up slightly
from 81 percent to 82 percent (Chart 4.9.5).
Median haircuts required on collateral used
in tri-party repo transactions were largely flat
over the year across collateral classes. Most
types of Fedwire-eligible collateral featured
median haircuts of 2 percent, while other types
of collateral featured median haircuts ranging
from 2 percent to 15 percent.

4.9.3 Primary Dealer Repo Agreements
4.9.3 Primary Dealer Repo Agreements
Trillions of US$
As Of: 25-Oct-2017
5
Overnight/Continuing
Term
4

Trillions of US$
5
4

3

3

2

2

1

1

0
2000

2003

2006

2009

2012

2015

0

Source: FRBNY

4.9.4 Value of the Tri-Party Repo Market
4.9.4 Value of the Tri-Party Repo Market
Trillions of US$
2.0

As Of: Oct-2017

Trillions of US$
2.0

1.8

1.8

1.6

1.6

1.4

1.4

1.2

1.2

1.0
2011

2012

2013

2014

2015

2016

2017

1.0

Source: FRBNY, Haver Analytics

4.9.5 Collateral in the Tri-Party Repo Market
4.9.5 Collateral in the Tri-Party Repo Market
Trillions of US$
3.0
2.5
2.0

As Of: Oct-2017

Agency CMOs
Agency Debentures and Strips
Agency MBS
U.S. Treasury Strips
U.S. Treasuries excluding Strips

Trillions of US$
3.0

Other
Private Label CMOs
ABS
Corporates
Equities

2.5
2.0

1.5

1.5

1.0

1.0

0.5

0.5

0.0
2011

2012

Source: FRBNY,
Haver Analytics

2013

2014

2015

2016

2017

0.0

Note: Other includes CDOs, international securities,
money markets, municipal debt, and whole loans.
Financial Developments

51

Securities Lending

4.9.6 Value of Securities on Loan
4.9.6 Value of Securities on Loan
Trillions of US$
5

Trillions of US$
5

As Of: 31-Oct-2017

4

4
Global Market
(including U.S.)

3

3

2

2
U.S. Market

1
0
2008

2010

2012

1

2014

0

2016

Note: Data is based on a
survey of agent-based lenders.

Source: Markit Group Limited

4.9.7 Securities on Loan Against Cash and Noncash Collateral

4.9.7 Securities on Loan Against Cash and Noncash Collateral
Billions of US$
1500
1200

As Of: 31-Dec-2015

Noncash Collateral (left axis)
Cash Collateral (left axis)

Percent of Total Assets
Available for Lending
(right axis)

Percent
13

12

900
11
600
10

300
0

Oct 9, 2015

Nov 10, 2015

Dec 31, 2015

9

Source: OFR/Federal Reserve/SEC
Securities Lending Data Collection Pilot

4.9.8 Securities on Loan by Owner Type
4.9.8 Securities on Loan by Owner Type
Banks and
Broker-Dealers
($16)

Other
($134)

Insurance
Companies
($36)
Investment
Firms
($174)
Source:
OFR/Federal
Reserve/SEC
Securities Lending
Data Collection Pilot

52

Governmental Entities
($327)

2 0 1 7 F S O C / / Annual Report

Pension
Funds and
Endowments
($332)

Note: All figures in
billions of US$.
Averages of data
collected on three
reporting dates. Other
includes securities
owners not identified
by pilot participants.

As Of: 31-Dec-2015

The value of securities on loan globally was
largely unchanged in 2016 but rose from $1.9
trillion at year-end 2016 to $2.3 trillion as
of October 2017 (Chart 4.9.6). To improve
data collection on securities lending, in 2014
the OFR, the Federal Reserve System, and
the SEC began a pilot data collection project
focused on activity in this area, and agencies’
staff published a summary of their findings
in 2016. Seven lending agents participated on
a voluntary basis, and provided a snapshot of
their securities lending books at the closing of
each of three reporting days in 2015.
The pilot indicated that lending agents held,
on average, $9.44 trillion in securities available
for lending, although not all of those securities
may be available at the same time. There
were on average $1.02 trillion in securities
loans outstanding in the U.S., representing
approximately 10.8 percent of total lendable
assets (Chart 4.9.7). Pension funds and
endowments, on average, had $332 billion of
securities on loan, the most of any securities
owner type, followed closely by governmental
entities—which include central banks and
sovereign wealth funds—at about $327 billion
(Chart 4.9.8).
Lending agents indemnified nearly all securities
owners reported in the pilot, with at least 97
percent of loans including such provisions
across all major categories of securities owners.
Indemnification provisions generally stipulate
that the lending agent compensate the security
owner if the borrower defaults and the pledged
collateral is insufficient to replace the lent
security.
The majority of borrowers were broker-dealers,
which borrowed, on average, $869 billion in
securities. Brokers generally borrow securities
to facilitate short sales and to resolve fails to
deliver. Hedge funds and state pension funds
together borrowed less than $10 billion.

Equities—both domestic and foreign—
comprised the largest share of securities
on loan, at approximately 46 percent, with
sovereign bonds accounting for an additional 42
percent (Chart 4.9.9). U.S.-issued securities and
U.S. equities comprised 67 percent of the total.
Mean lending fees for loans of foreign equity
securities were significantly higher than those
for foreign sovereign and supranational bonds.
On average, the collateral received was about
equally split between cash and noncash.
Around 37 percent of the total cash collateral
was reinvested in the repo market, including
repos backed by government and other types of
securities (Chart 4.9.10). Over 20 percent of the
total was reinvested in money market securities.
MMFs were the third largest category at around
9 percent. Approximately 9 percent of cash
collateral was delivered to the securities owners;
consequently, the reinvestment of that portion
of collateral is unknown.

4.9.9 Securities on Loan by Asset Class
4.9.9 Securities on Loan by Asset Class
Foreign Corporate Bonds Not Available
($46)
($17)
Foreign Equities
($156)
Foreign
Sovereign and
Supranational
Securities
($121)
U.S. Corporate
Bonds
($62)
Source:
OFR/Federal
Reserve/SEC
Securities Lending
Data Collection Pilot,
Markit Group Limited

U.S. Equities
($315)

U.S. Treasury
and Agency
Securities
($302)

Note: All figures in
billions of US$.
Averages of data
collected on three
reporting dates. Not
Available includes
securities that could
not be classified.

As Of: 31-Dec-2015

4.9.10 Securities Lending Cash Collateral Reinvestment
4.9.10 Securities Lending Cash Collateral Reinvestment
Other
Liquidity Funds (12.6%)
(6.0%)
Short-Term
Investment Funds
(6.8%)

Repo
(36.6%)

Cash Delivered
to Securities
Lender
(8.6%)
Money Market
Funds
(9.3%)
Source:
OFR/Federal
Reserve/SEC
Securities Lending
Data Collection Pilot

Note: Averages of
data collected on
three reporting
dates. Other
includes private
structured debt,
corporate bonds,
sovereign bonds,
and agency
securities.

Money Market Securities
As Of: 31-Dec-2015
(20.1%)

Financial Developments

53

4.10.1 Normalized Futures Prices
4.10.1 Normalized Futures Prices
As Of: 31-Oct-2017

Index
1.6

Index
1.6

1.4

1.4

1.2

1.2

1.0

1.0

0.8

0.8

0.6
0.4

0.6

U.S. Dollar
E-mini S&P 500
10-Year Treasury Futures
S&P Commodity Index

0.4

0.2
Jan:14 Jul:14 Jan:15 Jul:15 Jan:16 Jul:16 Jan:17 Jul:17
Source: Bloomberg, L.P.

0.2

Note: 2-Jan-2014 = 1.0.

4.10.2 Market Volatility Indices
4.10.2 Market Volatility Indices
Index
15
12

As Of: 31-Oct-2017

Index
80

Treasury VIX (left axis)
VIX (right axis)
Crude Oil VIX (right axis)

60
50
40

6

30
20

3

10

0
Jan:14 Jul:14 Jan:15 Jul:15 Jan:16 Jul:16 Jan:17 Jul:17

0

Source: Bloomberg, L.P.

4.10.3 Normalized Futures Exchange Volume
4.10.3 Normalized Futures Exchange Volume

1.4

As Of: 2016

1.4

1.2

1.2

1.0

1.0

2011

2012

Source: CFTC

54

Index
1.6

New York Mercantile Exchange
ICE Futures U.S.
Commodity Exchange Inc.
Chicago Mercantile Exchange
Chicago Board of Trade

0.8
2010

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Derivatives Markets

4.10.1

Futures

Prices in a number of futures market segments
paralleled movements in their underlying
assets for 2016 and 2017; equity futures have
risen steadily through 2016 and 2017, U.S.
dollar futures fell in 2017 after reaching
multi-year highs in 2016, commodity futures
have remained relatively flat in 2017 after
rebounding from multi-year lows hit in early
2016, and fixed income futures have remained
relatively stable after falling in November and
December of 2016 (Chart 4.10.1). Volatility in
fixed income markets trended lower in 2017
after spiking in the end of 2016, while volatility
in oil markets declined in 2016 and 2017 after
spiking in early 2016 (Chart 4.10.2). Equity
market volatility remained at or near historically
low levels for most of 2016 and 2017, with the
exception of a similar rise in early 2016.

70

9

Index
1.6

4.10

2013

2014

2015

0.8
2016

Trading volumes and open interest generally
increased across major futures exchanges
in 2016, continuing a trend from prior years
(Charts 4.10.3, 4.10.4). Despite an increase in
the number of products offered on commodity
futures exchanges, the number of futures
products overall fell slightly (Chart 4.10.5).

The increased trading volumes apparent in
futures markets are believed to be driven in
part by the rise of quantitative and automated
trading strategies, which are commonly
designed for use in highly liquid markets such
as those associated with actively traded futures
products. The level of automation in futures
trading has been increasing in recent years,
a trend that continued in 2016 as automation
generally exceeded 60 percent of volume
across exchanges (Chart 4.10.6). Automation of
options trading has seen less consistent trends,
with levels in recent years usually in the 40-50
percent range, depending on exchange and
time period (Chart 4.10.7).

4.10.4 Normalized Futures Exchange Open Interest
4.10.4 Normalized Futures Exchange Open Interest
Index
2.0
1.8
1.6

As Of: 2016

Index
2.0

New York Mercantile Exchange
ICE Futures U.S.
Commodity Exchange Inc.
Chicago Mercantile Exchange
Chicago Board of Trade

1.8
1.6

1.4

1.4

1.2

1.2

1.0

1.0

0.8

0.8

0.6
2010

2011

2012

2013

2014

2015

0.6
2016

Source: CFTC

4.10.5 Normalized Futures Exchange Number of Products

4.10.5 Normalized Futures Exchange Number of Products
Index
2.0
1.8
1.6

As Of: 2016

Index
2.0

New York Mercantile Exchange
ICE Futures U.S.
Commodity Exchange Inc.
Chicago Mercantile Exchange
Chicago Board of Trade

1.8
1.6

1.4

1.4

1.2

1.2

1.0

1.0

0.8

0.8

0.6
2010

2011

2012

2013

2014

2015

0.6
2016

Source: CFTC

4.10.6 Automation in Futures Markets
4.10.6 Automation in Futures Markets
As Of: 2016
Percent
80
New York Mercantile Exchange
Commodity Exchange Inc.
Chicago Mercantile Exchange
70
Chicago Board of Trade

Percent
80

70

60

60

50

50

40
2012

2013

2014

2015

40
2016

Source: CFTC

Financial Developments

55

4.10.2 Options

4.10.7 Automation in Options Markets
4.10.7 Automation in Options Markets
As Of: 2016
Percent
80
New York Mercantile Exchange
Commodity Exchange Inc.
70
Chicago Mercantile Exchange
Chicago Board of Trade
60

Percent
80
70
60

50

50

40

40

30

30

20
2012

2013

2014

2015

20
2016

Source: CFTC

4.10.8 OTC Equity Options: Global Notional Outstanding
4.10.8 OTC Equity Options: Global Notional Outstanding
Trillions of US$
As Of: 2017 Q2
8
Non-Financial Customers
Other Financial Institutions
Reporting Dealers
6

Trillions of US$
8

6

4

4

2

2

0

1998

2001

2004

2007

2010

2013

0

2016

Source: BIS, Haver Analytics

4.10.9 OTC Equity Option Share of All OTC Derivatives
4.10.9 OTC Equity Option Share of All OTC Derivatives

1.5

1.5

1.0

1.0

0.5

0.5

0.0
1998

2001

2004

Source: BIS, Haver Analytics

56

Percent
2.0

As Of: 2017 Q2

Percent
2.0

2 0 1 7 F S O C / / Annual Report

2007

2010

2013

2016

0.0

Currently, there are fifteen registered national
securities exchanges that list and trade
standardized equity options. Over half of these
exchanges (or options facilities of existing
exchanges) were established in the last decade,
including, more recently, ISE Mercury in
January 2016 and MIAX Pearl in December
2016. Transactions in securities based
standardized options are all centrally cleared by
a single clearing agency—the Options Clearing
Corporation, which required approximately
$50 billion in total initial margin against those
transactions as of the second quarter of 2017.
The Options Clearing Corporation is also the
issuer and guarantor of each standardized
options contract. Total exchange-traded equity
options volume has been relatively steady for
much of the past ten years. As of October
2017, there were nearly 4,500 equity securities
underlying exchange-traded equity options.
With respect to over-the-counter (OTC) equity
options, Bank for International Settlements
(BIS) data shows that the global notional
amount outstanding of OTC equity options was
approximately $4.0 trillion as of the second of
2017, remaining within the relatively narrow
range seen since the second half of 2008 (Chart
4.10.8).
While the notional amount of outstanding OTC
equity options is large in absolute magnitude,
OTC equity options accounted for less than 1
percent of the global OTC derivatives market
as of the second quarter of 2017 (Chart 4.10.9).
BIS data also shows that the global market
value of OTC equity options transactions was
$338 billion as of the second quarter of 2017,
significantly below record levels reported in the
fourth quarter of 2007 (Chart 4.10.10).
Within the U.S. banking sector, OTC equity
option exposures are concentrated in a small
number of major institutions. The six largest
BHCs by total assets had written approximately
96 percent of the $1.3 trillion total OTC equity
option notional outstanding written by all BHCs
as of the third quarter of 2017. Similarly, by that

point the six largest BHCs also held purchased
options representing approximately 94 percent
of the $900 billion in total OTC equity option
notional outstanding held by all BHCs.

4.10.3 OTC Derivatives
In the United States, the gross notional
outstanding of OTC interest rate and credit
index derivatives declined slightly in 2016;
the notional outstanding of OTC interest rate
derivatives declined 19 percent year-over-year
to $201 trillion and the notional outstanding
of credit index derivatives declined 24 percent
to $3.6 trillion (Chart 4.10.11). The notional
outstanding of OTC interest rate and credit
index derivatives increased in 2017, but remain
slightly below levels reported in 2015; as of
October 2017, the notional outstanding of OTC
interest rate and credit index derivatives stood
at $245 and $4.6 trillion respectively.
In 2016, the average weekly volumes for OTC
interest rate derivatives increased 70 percent
year-over-year, to $4.5 trillion in the fourth
quarter of 2016 compared to the same period in
2015 (Chart 4.10.12). Trading volumes for OTC
interest rate derivatives continued to increase
through 2017, and the average weekly volume
rose to $5.7 trillion in the third quarter of 2017.
Increased trading activity in interest rate swaps
primarily occurred in shorter tenor swaps,
which may be attributed to increased hedging
and speculative demand in anticipation of
rate rises. Trading volumes for credit index
derivatives also increased in 2016 and 2017,
albeit at a slower pace. In 2016, the fourth
quarter average weekly volumes for credit index
derivatives increased 5.2 percent year-over
year to $559 billion, and increased in the third
quarter of 2017 to $710 billion.

4.10.10 OTC Equity Options: Global Market Value
4.10.10 OTC Equity Options: Global Market Value
Billions of US$
As Of: 2017 Q2
1200
Non-Financial Customers
Other Financial Institutions
1000
Reporting Dealers

Billions of US$
1200
1000

800

800

600

600

400

400

200

200

0

1998

2001

2004

2007

2010

2013

2016

0

Source: BIS, Haver Analytics

4.10.11 Derivatives Notional Amount Outstanding
4.10.11 Derivatives Notional Amount Outstanding
Trillions of US$
10

As Of: 27-Oct-2017

Trillions of US$
400

Interest Rate
Derivatives
(right axis)

8

300

6
4

200

Credit Index
(left axis)

100

2
0
Jan:14 Jul:14 Jan:15 Jul:15 Jan:16 Jul:16 Jan:17 Jul:17

0

Source: CFTC

4.10.12 Derivatives Notional Volume
4.10.12 Derivatives Notional Volume
Trillions of US$
1.0
0.8

As Of: 27-Oct-2017

Trillions of US$
8
7

Credit Index
(left axis)

6
5

0.6

4
0.4
0.2

3
Interest Rate Derivatives
(right axis)

2
1

0.0
0
Mar:14 Sep:14 Mar:15 Sep:15 Mar:16 Sep:16 Mar:17 Sep:17
Source: CFTC

Note: 12-week moving averages.

Financial Developments

57

4.10.13 Global OTC Derivatives Market
4.10.13 Global OTC Derivatives Market
Trillions of US$
As Of: 2017 Q2
1000
Unallocated
900
Credit Default Swaps
Commodity Contracts
800
Equity-linked Contracts
Interest Rate Contracts
700
FX Contracts
600

Trillions of US$
1000
900
800
700
600

500

500

400

400

300

300

200

200

100

100

0

2000

2004

2008

2012

Source: BIS, Haver Analytics

2016

0

Note: Notional amounts.

4.10.14 Interest Rate Derivatives: Global National Outstanding

4.10.14 Interest Rate Derivatives: Global Notional Outstanding
Trillions of US$
700

Trillions of US$
700

As Of: 2017 Q2

600

600

500

500

400

400

300

300

200

200

100

100

0

2012
Q4

2013
Q4

2014
Q4

2015
Q4

0

2016
Q4

Source: BIS, Haver Analytics

4.10.15 Interest Rate Derivative Compression Volume
4.10.15 Interest Rate Derivative Compression Volume
Trillions of US$
250
Non-CCP
CCP
200

200

150

150

100

100

50

50

0

2003

2005

Source: TriOptima

58

Trillions of US$
250

As Of: Oct-2017

2007

2009

2011

2013

2015

2017

0

Note: Gross notional is represented as single-counted
for notional compressed outside of a CCP and doublecounted for notional compressed inside of a CCP.

2 0 1 7 F S O C / / Annual Report

Globally, the gross notional amount
outstanding for OTC derivatives across asset
classes fell 1.9 percent year-over-year to an
estimated $542 trillion in June 2017 (Chart
4.10.13). The overall rate of contraction
slowed over the past 18 months, following
average declines of 13.5 percent annually in
2014 and 2015. This recent decline has been
driven primarily by a 2.6 percent year-over-year
contraction in interest rate derivatives notional,
to $416 trillion in June 2017 (Chart 4.10.14).

The decline in interest rate derivatives notional
amount outstanding may be largely attributable
to compression activity. Compression is a risk
management tool used by market participants
to close OTC derivatives contracts with
offsetting or nearly offsetting risk, in effect
reducing the number of transactions and
gross notional amount outstanding in market
participants’ OTC derivatives portfolios.
Compression activity has grown rapidly in
recent years, supported by the growth of
central clearing and CCP compression service
offerings. The increased compression activity
led to a $346 trillion reduction in interest
rate derivatives notional amount outstanding
in 2016 and the first half of 2017, and a $684
trillion reduction since 2014 (Chart 4.10.15).
Adjusted for compression, however, total
notional of cleared OTC interest rate derivatives
has increased by 10.8 percent since December
2015 (Chart 4.10.16).
The global notional outstanding of both singlename and index credit derivatives declined to
an estimated $9.3 trillion by the second quarter
of 2017, below its pre-crisis level, driven by a
reduction in inter-dealer activity and a decline
of investor appetite for credit derivatives (Chart
4.10.17, 4.10.18).

4.10.16 Global Cleared OTC Interest Rate Derivatives
4.10.16 Global Cleared OTC Interest Rate Derivatives
Trillions of US$
Trillions of US$
As Of: Oct-2017
800
800
Maturity Weighted Cum. Compression Volume
Cleared Notional
600

600

400

400

200

200

0

2008

2010

2012

2014

0

2016

Note: Maturity weighted cumulative compression
volume is calculated as the sum of the current
and previous year’s compression volume,
estimating with two year average maturity for the
compressed trades. 2017 data is year-to-date.

Source: ClarusFT CCPView,
TriOptima, LCH.SwapClear

4.10.17 Credit Derivatives by Counterparty
4.10.17 Credit Derivatives by Counterparty
Trillions of US$
25

15

Trillions of US$
25
CCP to Non-Dealer
CCP to Dealer
20
Non-Dealer to Non-Dealer
Dealer to Non-Dealer
Interdealer
15

10

10

5

5

As Of: Oct-2017

20

0

2013

2014

2015

Source: DTCC

2016

2017
YTD

0

Note: Gross notional outstanding.

4.10.18 Global Credit Derivatives by Product
4.10.18 Global Credit Derivatives by Product
Trillions of US$
40

30

Trillions of US$
40
Index
Multi-Name
Single Name
30

20

20

10

10

0

Jun:05

Source: BIS

Jun:07

As Of: 2017 Q2

Jun:09

Jun:11

Jun:13

Jun:15

Jun:17

0

Note: Gross notional outstanding.

Financial Developments

59

Impact of Margin Rule for Non-Cleared Swaps

4.10.19 Interest Rate Derivatives Inflation Swap Clearing

4.10.19 Interest Rate Derivatives Inflation Swap Clearing

Billions of US$
1600

Billions of US$
40

As Of: 27-Oct-2017

Uncleared Swap Margin
Rule Implementation Date

1200

30

800

400

20
Cleared
Volume
(right axis)

0
Jul:15

Cleared Notional
Outstanding
(left axis)

Jan:16

Jul:16

10

Jan:17

Jul:17

0

Note: 12-week moving
averages for volume data.

Source: ClarusFT CCPView

4.10.20 FX Non-Deliverable-Forward Clearing
4.10.20 FX Non-Deliverable-Forward Clearing
Billions of US$
900

Billions of US$
150

As Of: 27-Oct-2017

Uncleared Swap Margin
Rule Implementation Date
100

600

300

Cleared
Volume
(right axis)

0
Jul:15

Cleared Notional
Outstanding
(left axis)

Jan:16

Source: ClarusFT CCPView

60

2 0 1 7 F S O C / / Annual Report

Jul:16

50

Jan:17

Jul:17

0

Note: 12-week moving
averages for volume data.

The implementation of new U.S. margin
requirements for non-cleared swaps in
September 2016 led to certain developments
in this market. These new requirements, which
are one aspect of global reform efforts on
OTC derivatives, were intended to promote
central clearing and reduce counterparty risk
by imposing margin requirements for noncentrally cleared transactions. Regulators
in some other jurisdictions, including
Canada, Japan, the EU, Singapore, Hong
Kong, Switzerland, and Australia, also began
implementing their own respective rules in 2016
and 2017.
While broad trends have not yet fully emerged,
the U.S. rule implementation appears to
have led to a shift from bilateral to central
clearing for certain types of swaps. Within
one month of the implementation date, the
notional outstanding for cleared inflation
swaps increased by approximately 25 percent,
and the notional outstanding for cleared
foreign exchange non-deliverable forwards
increased by approximately 65 percent. Over
the same period, the cleared volumes in both
products had nearly tripled. The market share
of cleared transactions in these products
increased significantly in 2016 (Charts 4.10.19,
4.10.20). While these two products are not
currently mandated for central clearing,
they can be cleared voluntarily at CCPs, and
the implementation of the margin rule has
incentivized clearing for these products.

4.10.4 Central Counterparty Clearing
The share of OTC derivatives transactions
cleared at CCPs continued to grow globally,
as jurisdictions continue to implement
requirements for central clearing. In 2016,
the EU began to require central clearing
for certain derivatives, joining some other
jurisdictions, including the United States, which
implemented central clearing rules in 2013.
According to the Financial Stability Board
(FSB), as of June 2017, 17 of 24 FSB member
jurisdictions had comprehensive frameworks
in place to determine when standardized OTC
derivatives should be centrally cleared.
Measured by gross notional outstanding
overall, cleared OTC derivatives constituted
approximately 77 and 43 percent of outstanding
OTC interest rate and OTC credit derivatives
globally, respectively, and less than 2 percent
each for both OTC foreign exchange and OTC
equity derivatives globally in June 2017 (Chart
4.10.21). Globally, approximately $320 trillion
in notional of OTC interest rate derivatives
and $4.9 trillion in notional of OTC credit
derivatives were cleared by June 2017.
Clearing activity has increased substantially in
interest rate derivatives, primarily due to the
greater share of standardized products covered
by clearing mandates and greater availability
of clearing services. Both the volume of total
compression activity as well as the share of
compression activity occurring within CCPs
has also increased significantly in recent
years. In the United States, the share of new
transaction volume for interest rate derivatives
that is centrally cleared has grown on average
by 8.7 percent annually since 2013, reaching
86 percent of the market in the second quarter
of 2017. Within the market for credit default
swaps (CDS) on indices, 84 percent of weekly
notional volumes were centrally cleared during
the second quarter of 2017 (Chart 4.10.22).
Clearing volumes remain concentrated with
LCH.Clearnet Ltd. and CME Group Inc. for
interest rate swaps and with ICE Clear Credit
and ICE Clear Europe for CDS.

4.10.21 Global OTC Central Clearing Market Share
4.10.21 Global OTC Central Clearing Market Share
Share
1.0

As Of: Jun-2017

Trillions of US$
500

0.8

400

0.6

300

0.4

200

0.2

100

0.0

IRD

Source: BIS

FX

Credit

Not Cleared (left axis)
Cleared (left axis)

Equity

0

Total Notional
Outstanding (right axis)

4.10.22 U.S. Central Clearing Market Share
4.10.22 U.S. Central Clearing Market Share
Percent
100

Percent
100

As Of: 2017 Q3

80
60
40
20

80

Cleared CDS
Index Swaps

Cleared Interest
Rate Derivatives

60
40
20

0
0
Dec:13 Jun:14 Dec:14 Jun:15 Dec:15 Jun:16 Dec:16 Jun:17
Note: Percentage of
transaction dollar volume.
Source: CFTC

Financial Developments

61

Margin calls related to sharp market
movements, such as those observed following
the June 23, 2016 UK referendum to leave the
EU, have led to funding liquidity concerns
among clearing members. On the day after
the UK referendum, the five largest CCPs,
which constitute most of the clearing market
globally, issued calls for approximately $27
billion in variation margin across derivatives
products, totaling approximately five times
the daily average experienced in the previous
year. Although clearing members were able to
meet these calls, differing intraday margin call
practices across CCPs and mismatches between
when margin on positions is due from dealers
and when excess margin is released forced
dealers to post a significant amount of margin
intraday. These funding liquidity stresses are
often also greater for clearing members that
offer client clearing services because they
are required to post additional collateral for
client trades as well as for their own. These
developments have led to concerns among
market participants that their funding liquidity
could be significantly impaired during future
periods of high market volatility. In response,
market participants have begun reassessing
margining and liquidity management practices
to ensure such variation margin calls can be
met in the future. Relevant authorities have also
been working with CCPs and their members to
assess and implement changes to operational
and liquidity policies and procedures to
mitigate these concerns. In October 2017, the
CFTC issued a report detailing its evaluation
of CCP funding liquidity under stressed
conditions (see Box D).

62

2 0 1 7 F S O C / / Annual Report

4.10.5 Futures Commission Merchants
Futures Commission Merchants (FCMs) are
the CCP members that provide customers the
ability to clear futures and swap transactions.
The increased use of central clearing for
certain derivative products has increased the
importance of FCM services in recent years.
FCMs generally collect initial and variation
margin from customers and deposit the
required amounts with the CCP. Additionally,
FCMs guarantee the client performance to the
CCP, exposing them to potential loss should
the client default, and may have contingent
financial obligations under the CCP’s
mutualized loss allocation mechanisms.
With respect to more established businesses,
like clearing of futures and options on futures,
the level of customer margin funds held
by FCMs has remained fairly flat since the
financial crisis (Chart 4.10.23). For the cleared
swaps business, where customer clearing and
associated data collection have been more
recently introduced, the level of customer
margin funds held by FCMs has increased
from about $50 billion at year-end 2014 to
approximately $87 billion as of the end of
September 2017.
For futures and options on futures, the number
of FCMs registered with the CFTC holding
customer funds has fallen from just over 100
in 2002 to 57 (of which 28 are bank affiliated
FCMs) as of September 2017 (Chart 4.10.24).
For the cleared swaps business, the number of
FCMs reporting nonzero balances of segregated
client funds decreased from 23 at year-end 2014
to 20 (of which 17 are bank-affiliated FCMs) at
the end of September 2017. FCMs affiliated with
the largest U.S. banking organizations now hold
about 75 percent of all segregated client funds
supporting cleared swaps held by registered
FCMs, up from about 50 percent in mid-2014.

4.10.23 Margin Funds Held at FCMs
4.10.23 Margin Funds Held at FCMs
Billions of US$
350
Swaps
Part 30
300
Futures

Billions of US$
350

As Of: Sep-2017

300

250

250

200

200

150

150

100

100

50

50

0
2002

2004

2006

2008

2010

2012

2014

2016

0

Source: CFTC, FIA

4.10.24 FCMs Holding Client Funds
4.10.24 FCMs Holding Client Funds
Count
150
125

Count
150

As Of: Sep-2017
Swaps
Part 30
Futures

125

100

100

75

75

50

50

25

25

0
2002

2004

2006

2008

2010

2012

2014

2016

0

Source: CFTC, FIA

A portion of the decline in the number of FCMs
reflects the continuation of a long-term trend
of business consolidation among FCMs due to
technology and other market structure related
Financial Developments

63

changes. However, some market participants
have indicated that regulatory capital
requirements arising from the supplementary
leverage ratio (SLR), are causing them to reexamine their client-clearing services.
One potential concern is whether the reduction
in the number of FCMs could create difficulties
in porting customer margin between FCMs
after a default event. In the event of an FCM
default, the ability to port customer positions
and margin is contingent on the existence of
FCMs that are willing and able to expand their
customer clearing business in a time of stress.
FCMs need to have sufficient capital to fund
the new business, including meeting capital
requirements related to these new customer
positions as well as incremental contributions
to the guarantee fund based on incremental
risks cleared. If healthy FCMs are unwilling or
unable to accept these new customers, it might
be necessary to liquidate the positions of the
customers of the defaulting FCM, which could
have negative market consequences.
Some market participants and CCPs have
been exploring two potential approaches to
this issue that may address their needs. In a
few cases, proprietary firms have chosen to
become clearing members, directly facing the
CCP rather than using an FCM intermediary.
In other cases, CCPs are working to introduce
options for more direct client clearing. In this
arrangement, customers would pay initial and
variation margin directly to the CCP, but would
also have an FCM provide credit protection
to the CCP in case of a failure to pay. Such an
arrangement is designed to reduce the capital
required to be allocated towards customer
clearing activity. U.S. financial regulators
continue to evaluate but have not yet permitted
any of these options, as these direct clearing
approaches present challenges for traditional
regulatory oversight of market participants.
Given that these options may not be feasible
for many market participants, regulators
continue to monitor FCM industry trends and
the possible implications for financial stability,
particularly in stressed market conditions.
64

2 0 1 7 F S O C / / Annual Report

4.10.6 Regulated Platform Trading
In the United States, mandatory trading of
swaps related to certain interest rate and CDS
indices on regulated platforms has been in
effect since 2014. The CFTC has granted full
registration to 25 swap execution facilities
(SEFs), a new type of regulated OTC derivatives
trading platform that provides additional pretrade and post-trade information, such as bidoffer spreads. Globally, jurisdictions continue
to implement the 2009 commitment by G-20
leaders that standardized OTC derivatives
should be traded on exchanges or electronic
platforms, where appropriate. Combined with
central clearing, the use of these new types
of trading platforms can increase the level of
transparency, reduce operational risk, and
improve end-to-end processing. However, the
CFTC is concerned that there may exist a tradeoff between increasing pre-trade transparency
and ensuring robust market liquidity.
Trading volumes on SEFs continued to increase
in 2016 and 2017, with average daily notional
volume for interest rate and credit index
derivatives up 26 percent since the fourth
quarter of 2015, to $412 billion in the third
quarter of 2017 (Chart 4.10.25). However, the
market share of interest rate and credit index
derivatives trading on SEFs has remained
relatively flat, following increases during the
first two years of SEF trading (Chart 4.10.26).

4.10.25 U.S. On-SEF Trading Volume
4.10.25 U.S. On-SEF Trading Volume
Billions of US$
As Of: 31-Oct-2017
60
CDS Indices (left axis)
Interest Rate Derivatives (right axis)
50

Billions of US$
600
500

40

400

30

300

20

200

10

100

0
Jan:14 Jul:14 Jan:15 Jul:15 Jan:16 Jul:16 Jan:17 Jul:17
Source: ISDA SwapsInfo

0

Note: 20-day moving averages.

4.10.26 U.S. On-SEF Trading Share
4.10.26 U.S. On-SEF Trading Share
Percent
100
80

Percent
100

As Of: 31-Oct-2017
CDS Indices
Interest Rate Derivatives

80

60

60

40

40

20

20

0
Jan:14 Jul:14 Jan:15 Jul:15 Jan:16 Jul:16 Jan:17 Jul:17
Source: ISDA SwapsInfo

0

Note: Share of notional volume.
20-day moving averages.

Financial Developments

65

4.11 Bank Holding Companies and
Depository Institutions

4.11.1 BHC Total Assets
4.11.1 BHC Total Assets
Trillions of US$
16

As Of: 2017 Q2

Trillions of US$
16

12

12

8

8

4

4

0

CCAR banks

Other banks with
assets greater than
$10B

Banks with assets
less than $10B

0

Source: FR Y-9C

12

As Of: 2017 Q2

Percent
14
12

Less than $50B

10

10

8

8

6
4
2001

6

Greater than $50B

2003

Source: FR Y-9C

2005

2007

2009

2011

BHCs are companies with at least one
commercial bank subsidiary. Subsidiaries
of BHCs may also include nonbanks such
as broker-dealers, investment advisers, or
insurance companies. As of the second quarter
of 2017, BHCs in the United States with more
than $10 billion in assets held about $18 trillion
in assets. About 85 percent of this total was
held by the 34 BHCs that participated in the
Federal Reserve’s 2017 stress testing and capital
planning exercises (Chart 4.11.1).

Capital Adequacy

4.11.2 Common Equity Tier 1 Ratios
4.11.2 Common Equity Tier 1 Ratios
Percent
14

4.11.1 Bank Holding Companies and DoddFrank Act Stress Tests

2013

2015

2017

4

Note: Prior to 2014:Q1, the numerator of the common equity tier 1 ratio is tier 1
common capital. Beginning in 2014:Q1 for advanced approaches BHCs and in
2015:Q1 for all other BHCs, the numerator is common equity tier 1 capital.

Capital levels at BHCs have risen significantly
since the 2008 financial crisis. At companies
with more than $50 billion in assets, the
ratio of CET1 capital to RWAs has more than
doubled since the crisis, while for smaller
banks, capital ratios increased by about 50
percent over the same period (Chart 4.11.2).
High levels of equity capital provide a buffer to
absorb losses from operational and legal risks,
or from losses on loans, securities, trading
portfolios, or off-balance sheet exposures.
Although the requirements under the postcrisis implementation of U.S. regulatory capital
rules will continue to be phased in over the
next few years, all of the global systemically
important bank holding companies (G-SIBs)
headquartered in the United States already
meet the new standards for minimum riskbased capital ratios, supplementary leverage
ratios, capital conservation buffers, and
surcharges related to systemic importance.
On July 1, 2016, foreign banking organizations
(FBOs) with sizeable operations in the United
States were required to consolidate all nonbranch assets under a single BHC called an
Intermediate Holding Company (IHC). The
12 IHCs operating in the U.S. have an average
CET1 capital ratio of 15.1 percent, with a range
from 11.9 percent to 20.9 percent, as of second
quarter 2017.

66

2 0 1 7 F S O C / / Annual Report

On December 15, 2016, the Federal Reserve
finalized a rule to be implemented by January
2019 that will require domestic G-SIBs and
U.S. operations of foreign G-SIBs to maintain a
minimum level of total loss absorbing capacity
(TLAC), which includes a requirement to
fund a certain fraction of assets with longterm debt. The amount of TLAC and longterm debt required will increase with the size
and complexity of the BHC, reducing the
incentives to increase systemic risk-exposures.
Furthermore, the long-term debt is required
to be subordinate to claims on operating
subsidiaries and would convert into equity
capital in case of resolution of the BHC. The
availability of long-term debt that can serve
as a source of capital is intended to facilitate
a successful recapitalization of a failed firm
without government or taxpayer support to
provide additional equity capital. The TLAC
provides resources that would be used to
maintain the resiliency of operating subsidiaries
with critical functions, thereby facilitating an
orderly resolution.
On September 8, 2016, the Federal Reserve
finalized its framework for setting the
Countercyclical Capital Buffer (CCyB) and
voted to maintain the CCyB at zero in October
2016 and then again in December 2017. In
forming its view about the appropriate level
of the U.S. CCyB, the Federal Reserve has
indicated that it will monitor a wide range
of financial and economic indicators and
consider their implications for financial system
vulnerabilities. Those vulnerabilities include
but are not limited to asset valuation pressures,
risk appetite, leverage in the financial and
nonfinancial sectors, and maturity and liquidity
transformation in the financial sector.

Financial Developments

67

Funding Sources

4.11.3 Selected Sources of Funding at CCAR Banks
4.11.3 Selected Sources of Funding at CCAR Banks
Percent of Total Assets
60

As Of: 2017 Q2

Percent of Total Assets
60

Short-Term Funding

50

50
40

40
30

Deposits Excluding Foreign Deposits
and Large Time Deposits

20

30
Long-Term Funding

20
10

10
0
2001

2003

2005

2007

2009

2011

2013

2015

2017

0

Note: Long-term funding includes other borrowed money, subordinated
notes, and large time deposits with maturities >1 year. Short-term
funding includes such liabilities with maturities <1 year plus trading
liabilities, repos, CP, and foreign deposits.

Source: FR Y-9C

4.11.4 Prime Institutional MMF Funding for G-SIBs
4.11.4 Prime Institutional MMF Funding for G-SIBs
Billions of US$
250

As Of: Oct-2017

Billions of US$
250

200

200

150

150

100

100

50

50

0
Jan:13

Oct:13

Jul:14

Apr:15

Jan:16

Oct:16

Jul:17

0

Source: SEC, OFR

4.11.5 LIBOR and Deposit Rate Spreads to OIS
4.11.5 LIBOR and Deposit Rate Spreads to OIS
Basis Points
50

As Of: 30-Oct-2017

25

25

0

0

-25

-25

-50

-50

-75
-100

-75

Small Retail CD Spread
Jumbo Retail CD Spread
LIBOR-OIS Spread

-125
2013

2014

2015

Source: FDIC, Federal Reserve
Bank of St. Louis, Bloomberg, L.P.

68

Basis Points
50

2 0 1 7 F S O C / / Annual Report

-100
2016

2017

-125

Note: 3-month CD and
LIBOR spreads to OIS.

During the 2008 financial crisis, banks
experienced disruptions in their access to
short-term wholesale funding. Since then,
the ratio of such funding to total assets has
declined significantly and now stands at
about half of its 2007 levels. At the same time,
banks experienced large inflows of deposits
predominantly in the form of demand deposits,
savings, and money market deposit accounts.
The banks also maintained a steady share of
long-term debt of about ten percent of total
assets (Chart 4.11.3).
Following the October 2016 MMF reforms (see
Box C), the largest U.S. BHCs experienced
a decline in short-term funding from prime
institutional MMFs (Chart 4.11.4). Some of this
funding outflow was compensated by higher
borrowing from the Federal Home Loan Banks
(FHLBs). The FHLBs, in turn, were able to
meet increased borrowing demands from the
BHCs as a result of an increase in funding from
government MMFs.
The reduced access to funding from prime
MMFs contributed to an increase in the spread
between LIBOR and the Overnight Indexed
Swap (OIS) rate, a proxy measure for the cost
of short-term funding. This spread has declined
since the MMF reforms took effect. In contrast,
despite increases in the cost of short-term
wholesale funding and the target range for
the federal funds rate, interest rates on retail
deposits have remained essentially unchanged,
leading to a widening negative spread between
deposit rates and market interest rates (Chart
4.11.5). Retail deposit rates have historically
not responded as quickly to increases in market
interest rates.

Profitability
After posting a sharp decline at the beginning
of 2016, bank profitability recovered and
remained unchanged on a year-over-year
basis. BHCs’ return on assets (ROA) and ROE
remain below pre-crisis levels (Chart 4.11.6).
Large institutions saw declines in non-interest
income in the beginning of 2016, primarily due
to declines in trading revenue and servicing
income, before rising in the latter part of 2016
and into 2017. In addition, NIMs remained
largely the same year-over-year and below their
historical average at large institutions with
assets greater than $50 billion (Chart 4.11.7).
The outlook for NIMs improved in the latter
part of 2016 with increases in short-term interest
rates being outpaced by increases in long-term
interest rates and a resultant steepening of
the yield curve. However, continued increases
in short-term interest rates in the first part of
2017 have led to a flattening of the yield curve.
Legal expenses at the largest banks remained
subdued in 2016 and early 2017 after being
elevated for several years due to mortgagerelated lawsuits (Chart 4.11.8). Those low levels
of expenses, combined with declines in other
noninterest expenses, supported profitability at
large BHCs.

Asset Quality
Following sharp decreases in oil and natural
gas prices, several banks reported significant
increases in delinquency rates on loans to oil
and gas exploration and production companies
in their earnings releases for the first quarter
of 2016. With the exception of a few regional
banks, those loans represented small fractions
of overall C&I portfolios. Banks increased
loan loss reserves for such loans and declared
plans to limit lines of credit to borrowers in
the upstream energy sector. Banks modestly
reduced their loan loss reserves in the latter
part of 2016 and first half of 2017; reserves were
decreased for C&I loan losses, which include
leveraged loan losses, and residential real estate
loan losses, but increased for credit card loan
losses. The share of non-performing loans to
total loans continued to trend down in 2016 and
2017 to its lowest level since 2007, though the

4.11.6 Return on Equity and Return on Assets
4.11.6 Return on Equity and Return on Assets
Percent
2

As Of: 2017 Q2

Percent
30

ROA (left axis)
1

15
ROE (right axis)

0

0

-1

-15

-2
1997

2000

2003

2006

2009

2012

-30

2015

Note: Return on equity is equal to net income
divided by average equity. Return on assets is
equal to net income divided by average assets.

Source: FR Y-9C

4.11.7 Net Interest Margins
4.11.7 Net Interest Margins
Percent
5.0

As Of: 2017 Q2

Percent
5.0

4.5

4.5
Less than $50B

4.0

4.0

3.5

3.5

3.0

3.0

2.5

Greater than $50B

2.0
2000

2003

2.5

2006

2009

2012

2.0

2015

Note: Net interest margin is equal to net
interest income divided by the quarterly
average of interest-earning assets.

Source: FR Y-9C

4.11.8 Legal Expenses at Largest BHCs
4.11.8 Legal Expenses at Largest BHCs
Billions of US$
14

As Of: 2017 Q2

Billions of US$
14

12

12

10

10

8

8

6

6

4

4

2

2

0

2011

2012

Source: FR Y-9C

2013

2014

2015

2016

2017

0

Note: Legal expenses includes
litigation expense and legal fees and
expenses. Includes legal expenses at
BAC, C, GS, JPM, MS, and WFC.

Financial Developments

69

4.11.9 Non-Performing Loans
4.11.9 Non-Performing Loans
Percent of Total Loans
8

As Of: 2017 Q2

6

Percent of Total Loans
8

6

Greater than $50B

4

4

2

2
Less than $50B

0
1997

2000

2003

2006

2009

2012

0

2015

Source: FR Y-9C

4.11.10 Loan-Loss Reserves
4.11.10 Loan-Loss Reserves
Percent of NPLs
250

As Of: 2017 Q2

200

Percent of NPLs
250
200

Less than $50B

150
100

150
100

Greater than $50B

50
0
1997

50

2000

2003

2006

2009

2012

2015

0

Source: FR Y-9C

4.11.11 Higher-Risk Securities
4.11.11 Higher-Risk Securities
Percent of Total Securities
50

As Of: 2017 Q2

Percent of Total Securities
50

40

40

30

30

Greater than $50B

20

20

10
0
2001

2003

2005

2007

Source: FR Y-9C

70

10

Less than $50B

2 0 1 7 F S O C / / Annual Report

2009

2011

2013

2015

2017

0

relatively large amounts of legacy residential
mortgages that are delinquent kept it above
the 10-year average that prevailed from 1996
to 2006 for larger institutions (Chart 4.11.9).
In addition, loan-loss reserves as a proportion
of non-performing loans continued to increase
but are still below their pre-crisis levels (Chart
4.11.10).
Trading asset and securities balances, as a
proportion of assets, remained flat in 2016 and
early 2017. The share of higher risk securities,
such as non-agency asset-backed securities
and other structured products, at large BHCs
continued to decline and is now at about half of
the 2007 level (Chart 4.11.11). Since 2010, the
largest banks have increased their lending to
nondepository financial institutions, while this
type of lending has been more muted at smaller
institutions over the past few years (Chart
4.11.12).

Liquidity Management
Holdings of high-quality liquid assets (HQLA)
have been stable at high levels over the past
several years at banks subject to the liquidity
coverage ratio (LCR) requirement, reflecting
the previous buildup to comply with the LCR.
Holdings of HQLA have declined slightly
at other banks (Chart 4.11.13). While the
accumulation of HQLA leveled off in the past
two years, the composition of HQLA shifted
from reserves into higher yielding agency
mortgage-backed securities and Treasury
securities at standard LCR BHCs (Chart
4.11.14).
In June 2016, the OCC, Federal Reserve, and
FDIC released a notice of proposed rulemaking
on the net stable funding ratio (NSFR)
requirement, which is intended to complement
the LCR requirement by defining a liquidity
standard with the objective of reducing funding
risk over a one-year horizon and limiting the
reliance on short-term wholesale funding.
Preliminary estimates based on supervisory
data of the aggregate NSFR for BHCs subject to
the LCR continue to be generally near or above
the required 100 percent.
An estimate of the duration gap between the
timing of cash inflows from the assets and cash
outflows from the liabilities—a measure of
interest rate risk at BHCs—has slowly trended
up at large BHCs. However, for BHCs with
less than $50 billion in assets, this measure
is elevated, suggesting such institutions
have a heightened sensitivity to interest rate
fluctuations (Chart 4.11.15). These institutions
derive a much larger share of income from
net interest income. Therefore, earnings and
capital are more susceptible to fluctuations in
net interest income due to changes in interest
rates.

4.11.12 Loans to Nondepository Financial Institutions
4.11.12 Loans to Nondepository Financial Institutions
Percent of Total Loans
6

As Of: 2017 Q2

Percent of Total Loans
6

5

5

4

4

3

Greater than $50B

3
Less than $50B

2

2
1

1
0
2010

2011

2012

2013

2014

2015

2016

2017

0

Source: FR Y-9C

4.11.13 Selected High-Quality Liquid Assets at BHCs
4.11.13 Selected High-Quality Liquid Assets at BHCs
Percent of Assets
24

As Of: 2017 Q2

Percent of Assets
24
20

20
16

Standard LCR BHCs

16
12

12
8
4
2010

Other

Modified LCR BHCs

2011

2012

2013

2014

2015

2016

8

2017

4

Note: HQLA is estimated by adding excess reserves to
an estimate of securities that qualify for HQLA. Securities
are estimated from the FR Y-9C. Haircuts and level 2
asset limitations are incorporated into the estimate.

Source: FR Y-9C, FR 2900

4.11.14 Selected Liquid Assets at Standard LCR BHCs
4.11.14 Selected Liquid Assets at Standard LCR BHCs
Percent of Assets
10

As Of: 2017 Q2

Percent of Assets
10

8

8
Reserves

6

6

Fannie Mae and
Freddie Mac MBS

4

4
Treasury Securities

2
0
2010

2011

2012

2013

2014

2

2015

2016

2017

0

Source: FR Y-9C, FR 2900
Financial Developments

71

Market Perception of Value and Risk

4.11.15 Weighted-Average Duration Gap
4.11.15 Weighted-Average Duration Gap
As Of: 2017 Q2

Years
3.0
2.5

Years
3.0

Greater than $250B

2.5
2.0

2.0

1.5

1.5
Less than $50B

1.0

Between $50B
and $250B

1.0
0.5

0.5
0.0
2001

2003

2005

2007

2009

2011

2013

2015

2017

0.0

Note: Duration gap is the approximate weightedaverage time of cash inflows less the approximate
weighted-average time of cash outflows.

Source: FR Y-9C

4.11.16 P/B and P/E Ratios of Six Large Complex BHCs
4.11.16 P/B and P/E Ratios of Six Large Complex BHCs
Ratio
5
4
3

As Of: 31-Oct-2017

Ratio
60
50

P/B Ratio
(left axis)

40

P/E Ratio
(right axis)

30

2

20

1
0
2000

10

2003

2006

2009

2012

0

2015

Note: Market cap-weighted average
of BAC, C, GS, JPM, MS, and WFC.

Source: Bloomberg, L.P.

4.11.17 CDS Spreads of Six Large Complex BHCs
4.11.17 CDS Spreads of Six Large Complex BHCs
Basis Points
700

As Of: 31-Oct-2017

600

Basis Points
700

Maximum Value
Equal-Weighted Average
Minimum Value

600

500

500

400

400

300

300

200

200

100

100

0
0
2009 2010 2011 2012 2013 2014 2015 2016 2017
Note: CDS spreads of BAC,
Source: Markit Group Limited
C, GS, JPM, MS, and WFC.

72

2 0 1 7 F S O C / / Annual Report

Large BHC equity valuations experienced
notable volatility in 2016 and 2017. In February
2016, downward revisions in expected global
growth, increased market volatility, lower
expected interest rates in the United States,
and negative interest rates in Europe and Japan
led analysts to mark down substantially their
forecasts of bank earnings for 2016. These
changes resulted in a 20 percent decline of
an asset-weighted index of stock prices of U.S.
G-SIBs, about in line with the slump in bank
stock prices in Europe and Japan, and greater
than the fall in the overall S&P 500 stock index.
Bank equity prices increased notably over
the second half of 2016, especially following
the presidential election in November, and
significantly outperformed the broader U.S.
stock market. Expectations for higher interest
rates, higher fiscal spending, lower corporate
taxes, and changes in regulation likely were
contributing factors to the rise in equity prices.
Even with these recent equity price increases,
bank equity valuations as measured by the P/B
ratio remained low relative to historical values,
with many of the largest BHCs having ratios
around or slightly above one (Chart 4.11.16).
The cost of insuring against credit default
risk on long-term debt issued by U.S. G-SIBs
remained at very low levels throughout 2016
and 2017, except for a short-lived increase in
February 2016 (Chart 4.11.17).

Dodd-Frank Act Stress Tests and Comprehensive
Capital Analysis and Review
In June 2016 and June 2017, the Federal
Reserve released the results of that year’s
annual Dodd-Frank Act stress testing (DFAST)
and the Comprehensive Capital Analysis and
Review (CCAR). Thirty-three BHCs with total
consolidated assets of $50 billion or more
participated in the annual stress tests and
capital planning review in 2016, and 34 BHCs
participated in 2017.

4.11.18 Initial and Stressed Tier 1 Common Capital Ratios

4.11.18 Initial and Stressed Tier 1 Common Capital Ratios
Percent
14
12

Percent
14

Pre-Stress
Post-Stress Minimum

12

10

10

8

8

6

6

4

4

2

2

0

DFAST, a forward-looking exercise conducted
by the Federal Reserve, evaluated whether
the participating BHCs had sufficient capital
to absorb losses over a nine-quarter period
resulting from stressful economic and financial
market conditions in hypothetical supervisory
scenarios designed by the Federal Reserve
in consultation with the FDIC and the OCC.
These scenarios were also used for company-run
stress tests by national banks, state nonmember
banks, and federal savings associations with
total consolidated assets of more than $10
billion. As part of DFAST, the banks must
report their company-run stress test results to
the Federal Reserve, their primary regulator,
and the public. The severely adverse scenario
used in DFAST 2016 reflected conditions of
a severe global recession accompanied by
a period of heightened corporate financial
stress and negative yields for short-term U.S.
Treasury securities. Compared to DFAST 2016,
the severely adverse scenario in DFAST 2017
featured a more severe downturn in the U.S.
economy with a larger decline in CRE prices
and a more severe recession in the euro area
and UK. Over the nine quarters horizon of
the severely adverse scenario in DFAST 2016,
the aggregate projected CET1 ratio for the 33
BHCs fell from 12.3 percent to a minimum level
of 8.4 percent. In DFAST 2017, the aggregate
projected CET1 ratio for the 34 BHCs fell
from 12.5 percent to a minimum level of 9.2
percent, which was still well above the minimum
requirement of 4.5 percent (Chart 4.11.18).

As Of: Jun-2017

DFAST 2013

2014

Source: Federal Reserve

2015

2016

2017

0

Note: DFAST 2013-2015 bars depict Tier 1
Common Capital Ratio. DFAST 2016-2017
bars depict Common Equity Tier 1 Ratio.

Financial Developments

73

4.11.19 Federal Reserve’s Actions in CCAR 2016
4.11.19 Federal Reserve's Actions in CCAR 2016
Ally Financial
American Express
BancWest
Bank of America
Bank of New York Mellon
BB&T
BBVA Compass
BMO Financial
Capital One Financial
Citigroup

Non-Objection to Capital Plan
Citizens Financial
Comerica
Discover Financial
Fifth Third Bancorp
Goldman Sachs
HSBC North America
Huntington Bancshares
JPMorgan Chase
KeyCorp
M&T Bank

MUFG Americas
Northern Trust
PNC Financial
Regions Financial
State Street
SunTrust
TD Group U.S.
U.S. Bancorp
Wells Fargo
Zions

Conditional Non-Objection to Capital Plan
Morgan Stanley
Objection to Capital Plan
Deutsche Bank
Santander Holdings USA

Note: Morgan Stanley’s capital
plan received a non-objection
upon resubmission.

Source: Federal Reserve

4.11.20 Federal Reserve’s Actions in CCAR 2017
4.11.20 Federal Reserve's Actions in CCAR 2017
Non-Objection to Capital Plan
Comerica

Ally Financial

MUFG Americas

American Express

Deutsche Bank

Northern Trust

BancWest

Discover Financial

PNC Financial

Bank of America

Fifth Third Bancorp

Regions Financial

Bank of New York Mellon

Goldman Sachs

Santander Holdings USA

BB&T

HSBC North America

State Street

BBVA Compass

Huntington Bancshares

SunTrust

BMO Financial

JPMorgan Chase

TD Group U.S.

CIT Group

KeyCorp

U.S. Bancorp

Citigroup

M&T Bank

Wells Fargo

Citizens Financial

Morgan Stanley

Zions

Insured Commercial Banks and Savings
Institutions

Conditional Non-Objection to Capital Plan
Capital One Financial

At the end of second quarter 2017, the
banking industry included 5,787 FDIC-insured
commercial banks and savings institutions with
total assets of $17.1 trillion. There were 1,471
institutions with assets under $100 million and
752 institutions with assets over $1 billion.

Source: Federal Reserve

4.11.21 FDIC-Insured Failed Institutions
4.11.21 FDIC-Insured Failed Institutions
Number of Institutions
600

As Of: 2017 Q2

500
400
300

Percent
5

Assets of Failed
Institutions as a Percent
of Nominal GDP
(right axis)

Number of
Institutions
(left axis)

3

1

100
1985

1990

Source: BEA, FDIC,
Haver Analytics

74

4

2

200

0
1980

2 0 1 7 F S O C / / Annual Report

1995

2000

2005

Through CCAR, the Federal Reserve evaluates
the capital adequacy and the capital planning
processes of the 34 BHCs, including the quality
of the BHCs’ risk management frameworks
and the proposed capital actions such as
dividend payments and stock repurchases.
The Federal Reserve considers both qualitative
and quantitative factors in analyzing a firm’s
capital plan. In 2016, the Federal Reserve
issued a conditional non-objection to one
BHC, requiring it to correct weaknesses in its
capital planning process, which the Federal
Reserve did not object to upon resubmission.
It also objected to the capital plans of two U.S.
subsidiaries of FBOs due to widespread and
substantial weaknesses across their capital
planning processes (Chart 4.11.19). The Federal
Reserve tailored its rules to remove large and
noncomplex firms—BHCs and U.S. IHCs of
FBOs with total consolidated assets between $50
billion and $250 billion, total nonbank assets of
less than $75 billion, and that are not identified
as G-SIBs—from the qualitative objection
process after 2016. In 2017, the Federal Reserve
issued a conditional non-objection to one BHC,
requiring it to address weaknesses in its capital
planning process (Chart 4.11.20).

2010

2015

0

Note: No FDIC-insured institutions
failed during 2005 and 2006. Failed
institutions in 2017 through June 30.

The total number of institutions fell by 269
during 2016 and 126 in the first half of 2017
due to failures and mergers, with there being a
total of four new reporters. Failures of insured
depository institutions are significantly down
since the financial crisis; five institutions with
a combined $277 million in total assets failed
in 2016, and six institutions with a combined
$4.9 billion in total assets failed in the first six
months of 2017 (Chart 4.11.21).

As of June 30, 2017, 105 institutions—1.8
percent of all institutions—were on the FDIC’s
“problem bank” list, compared to 183 problem
banks at year-end 2015. Banks on this list
have financial, operational, or managerial
weaknesses that require corrective action in
order to operate in a safe and sound manner.
Since year-end 2015, total assets increased
by $1.1 trillion for all U.S. commercial banks
and savings institutions, with total loans and
leases increasing by $619 billion. All major
loan categories grew in 2016 and 2017. The
largest increases were among C&I loans, loans
secured by nonfarm nonresidential real estate,
and residential mortgages. Banks increased
their investment securities by $216 billion since
year-end 2015, with mortgage-backed securities
and U.S. Treasury securities balances up 10.7
percent and 9.9 percent, respectively.

4.11.22 Commercial Bank and Thrift Pre-Tax Income
4.11.22 Commercial Bank and Thrift Pre-Tax Income
Billions of US$
1000
750

Billions of US$
1000
Total Pre-Tax Income
750

As Of: 2017 Q2
Noninterest Income
Net Interest Income

500

500

250

250

0

0

-250

-250

-500

-500

-750
-1000

Provisions
Noninterest Expense
2009

Source: FDIC

2011

2013

Realized Gains/Losses
on Investments
2015

2017

-750
-1000

Note: Includes all FDIC-insured
commercial banks and thrifts.

Annualized pre-tax income for all U.S.
commercial banks and savings institutions
totaled $267 billion for the first six months of
2017, representing an 8.1 percent increase from
2016, driven in large part by a rise in interest
income (Chart 4.11.22). Net interest income
rose by 8.4 percent for the first six months of
2017 over the first six months of 2016 due to
a rise in interest income outpacing a modest
rise in interest expense, and interest-earning
assets grew 4.0 percent. Almost two-thirds of
commercial banks and savings institutions
reported higher earnings in second quarter
2017. Credit quality continues to improve as
the noncurrent ratio declined to 1.23 percent
of total loans. Loan loss provisions decreased
1.1 percent from first half of 2016 as risks to
the energy sector and other industries slightly
declined.

Financial Developments

75

4.11.2
Banks

4.11.23 U.S. Branches and Agencies of Foreign Banks: Assets
4.11.23 U.S. Branches and Agencies of Foreign Banks: Assets

Trillions of US$
4.0

As Of: 2017 Q2

Securities Purchased
with Repos & Fed
Funds Sold
Non-C&I Loans
C&I Loans
Net Due From Related
Depository Institutions

3.5
3.0
2.5
2.0

Trillions of US$
4.0

Reserve Balances
Cash and Balances Due from
Depository Institutions
(excluding Reserve Balances)
Other Assets

3.5
3.0
2.5
2.0

1.5

1.5

1.0

1.0

0.5

0.5

0.0

2004

2006

2008

Source: Federal Reserve,
Haver Analytics

2010

2012

2014

2016

0.0

Note: Other assets includes government securities,
asset-backed securities, and other trading assets.

4.11.24 Cash Assets and Net Due to Related Entities
4.11.24 Cash Assets and Net Due to Related Entities
Trillions of US$
1.6

As Of: 25-Oct-2017

Trillions of US$
0.8

Cash Assets
(left axis)

1.4

0.6

1.2
0.4
1.0
0.8
0.6
2013

0.2
Net Due to Related Entities
(right axis)
2014

Source: Federal Reserve

2015

2016

2017

0.0

U.S. Branches and Agencies of Foreign

Assets of U.S. branches and agencies of foreign
banks total $2.4 trillion, about 15 percent of
total U.S. banking assets. Aggregate assets held
by U.S. branches fell around 4 percent during
2016 before rising 7.4 percent in the first half
of 2017 (Chart 4.11.23). Aggregate assets are
down approximately 10 percent since peaking
in the third quarter of 2014. This decrease was
largely driven by declining levels of reserves
held at the Federal Reserve as branches used
a portion of their reserves to pay off liabilities
that were not replaced. Even so, some firms
continue to have sizable reserve balances, which
can function as a liquidity source for some firms
in need of additional funding for their U.S. and
global operations. Total reserve balances held
at the Federal Reserve by depository institutions
have declined as shifts in the Federal Reserve’s
liabilities have occurred with total liabilities
remaining about the same. Cash balances
have declined 11 percent since year-end 2015,
partially due to regulatory pressures from
continued Basel III capital ratio constraints
and the SEC’s MMF reform implementation.
Cash balances increased modestly in 2017 from
December 2016 lows. Cash balances continued
to exhibit some quarter-end volatility, likely
due in part to efforts to manage balance sheet
exposures to meet international quarter-end
leverage and liquidity ratio targets (Chart
4.11.24).
Aggregate loan balances for U.S. branches and
agencies of foreign banks was approximately
31 percent of total U.S. branches and agencies
of foreign banks assets in the second quarter
of 2017, the same as in the fourth quarter of
2015. Total loans peaked in the third quarter
of 2016. Aggregate securities at U.S. branches
and agencies of foreign banks are 20 percent
higher than year-end 2015. This increase was
predominantly attributable to a 40 percent
increase in U.S. Treasury and agency securities,
which stood at $65 billion as of second quarter
2017. At 40 percent, U.S. Treasury and agency
securities now comprise the highest percentage
of total securities at U.S. branches and agencies

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since more granular securities data were
first reported in second quarter 2001. U.S.
Treasuries are a primary source of contingent
liquidity, along with reserve balances. Some
firms increased their U.S. Treasury holdings
over the course of 2016 as they sought to comply
with the liquidity stress testing requirements of
the enhanced prudential standards for foreign
firms with combined U.S. assets greater than
$50 billion, which came into effect on July 1,
2016.
The funding profiles of some U.S. branches
and agencies of foreign banks have changed
since the financial crisis. Aggregate liabilities
declined in 2016, due mainly to reductions in
deposit and credit balances, but in 2017 deposit
and credit balances turned up and aggregate
liabilities increased (Chart 4.11.25). Foreign
branches’ net “due to” position declined in 2016
(meaning that foreign branches’ liabilities owed
to parents and other related entities declined)
before a modest increase in the first half of
2017. Net “due to” positions are lower than their
peak in 2014, as foreign branches have used
cash balances to pay off excess funding from
their head offices.

4.11.25 U.S. Branches and Agencies of Foreign Banks: Liabilities
4.11.25 U.S. Branches and Agencies of Foreign Banks: Liabilities

Trillions of US$
4.0

As Of: 2017 Q2

Deposits & Credit Balances
Net Due to Related
Depository Institutions

3.5
3.0

Trillions of US$
4.0

Other Liabilities
Securities Sold with
Repos & Fed Funds
Purchased

3.5
3.0

2.5

2.5

2.0

2.0

1.5

1.5

1.0

1.0

0.5

0.5

0.0

2004

2006

2008

Source: Federal Reserve,
Haver Analytics

2010

2012

2014

2016

0.0

Note: Other liabilities includes transaction accounts,
non-transaction accounts, and other borrowed money.

Despite the general trend in the shift in net
due to positions, certain predominantly nonEuropean firms saw an increase in individual
net due to positions in 2016 as they borrowed
funds from head offices and non-U.S. branches
to replace lost wholesale funding prior to MMF
reform implementation, which took effect
on October 14, 2016. The funding shift postMMF reform occurred in an orderly manner,
suggesting that FBOs were able to sufficiently
meet funding needs even as a large amount of
MMF AUM shifted from prime to government
MMFs. As reserve balances at the Federal
Reserve and wholesale short-term funding have
been reduced, foreign banks have diversified
their sources of dollar funding. In 2016, the
UK referendum to exit the EU did not result in
long-term funding impacts to FBO firms.

Financial Developments

77

The additional capital, leverage, liquidity, and
reporting requirements of the IHCs which went
into effect last year may have created incentives
for FBOs to change their U.S. legal structures,
alter business focus, and shift assets away from
non-branch entities. Throughout 2016, several
firms experienced material declines in their
broker-dealer assets, explicitly shrinking or
managing non-branch assets below $50 billion
to avoid the requirement to establish an IHC.
Relatedly, certain assets and liabilities, notably
securities purchased or sold with repos, have
grown as several firms have migrated these
activities away from the broker-dealer to the
U.S. branches and agencies, which are subject
to less stringent requirements than IHCs.

4.11.3

Credit Unions

Credit unions are member-owned, not-forprofit, depository institutions. As of the second
quarter of 2017, there were 5,696 federally
insured credit unions with aggregate assets of
nearly $1.4 trillion. Almost three quarters of
credit unions had assets under $100 million,
with nearly 30 percent having less than $10
million in assets. There were 1,284 credit
unions with assets between $100 million and $1
billion, and 282 credit unions with assets over
$1 billion.
Consolidation continued during 2016 and
the first half of 2017, particularly at smaller
institutions. The number of credit unions with
less than $50 million in assets fell to 3,398
in the second quarter of 2017, bringing the
cumulative decline over the past five years
to more than 28 percent. At the same time,
however, industry assets grew more than 8
percent on an annualized basis during 2016 and
the first half of 2017. Membership in federally
insured credit unions grew more than 17
percent over the past five years, reaching 109
million members as of second quarter of 2017.
Financial performance at credit unions
generally improved during 2016 and the
first half of 2017, at least partly reflecting an
improving economy and rising loan demand.
Net income at consumer credit unions
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2 0 1 7 F S O C / / Annual Report

increased to more than $10 billion on an
annualized basis as of second quarter 2017,
an increase of 17.1 percent from 2015 (Chart
4.11.26). The amount of outstanding loans at
credit unions increased by 10.6 percent on an
annualized basis during 2016 and the first half
of 2017, a slight decline from the 10.7 percent
pace registered during 2015. Credit union
first mortgage loans grew 10.1 percent on an
annualized basis during 2016 and the first half
of 2017. A recent NCUA analysis of the 2015
Home Mortgage Disclosure Act (HMDA) data
suggests mortgages originated by credit unions
are typically smaller than loans made by other
financial institutions. On a county-by-county
basis, mortgages originated by credit unions
are roughly 15 percent smaller than mortgages
originated by other financial institutions and
accounted for about 12 percent of residential
mortgages originated in 2015.

4.11.26 Credit Union Income
4.11.26 Credit Union Income
Billions of US$
As Of: 2017 Q2
60
Noninterest Income
Net Income
Net Interest Income
45

Billions of US$
60
45

30

30

15

15

0

0

-15

-15

-30

-30

-45
-60

Provisions
Noninterest Expense
2007

Source: NCUA

2009

2011

-45

Realized Gains/Losses
on Investments
2013

2015

2017

-60

Note: Federally-insured credit unions.

The credit union system achieved return on
average assets (ROAA) of 77 basis points in
2016, little changed from 75 basis points in
2015. Interest and non-interest income rose,
and the NIM among all credit unions edged up
to 2.88 percent of average assets in 2016 from
2.85 percent in 2015. The NIM among all credit
unions has narrowed by roughly 40 basis points
from its recent high at year-end 2010.
In October 2017, the NCUA Board closed
the Temporary Corporate Credit Union
Stabilization Fund (TCCUSF) and merged
its remaining assets into the National Credit
Union Share Insurance Fund. The TCCUSF
was created in May 2009 to resolve five failed
corporate credit unions and provide shortterm and long-term funding for the failed
institutions’ portfolios of residential MBS,
commercial MBS, other asset-backed securities,
and corporate bonds. The TCCUSF contained
the costs of the failed corporate credit unions
within the credit union system and accumulated
a surplus predominantly due to the success with
legal recoveries.

Financial Developments

79

4.11.27 Credit Union Deposits
4.11.27 Credit Union Deposits
As Of: 2017 Q2

Percent
36

Percent
65

32

60

28

55

24

Money Market and
IRA Deposit Share
(left axis)

20
2005

2007

Interest-Sensitive
Deposit Share
(right axis)

2009

2011

2013

50

2015

2017

45

Note: Federally-insured credit unions. Interest-sensitive
deposit share includes money market and IRA deposit
share, share certificates, and certain other deposits.

Source: NCUA

4.11.28 Credit Union Net Long-Term Assets
4.11.28 Credit Union Net Long-Term Assets
Percent of Total Assets
As Of: 2017 Q2
Percent of Total Assets
50
50
Long-Term Investments
Fixed Assets
Mortgage Loans Maturing
Business Loans
40
40
in 5+ Years
30

30

20

20

10

10

0

2005

2007

Source: NCUA

2009

2011

2013

2015

2017

0

Note: Federally-insured credit unions. Long-term
investments mature in three or more years.

4.11.29 Credit Union Investments by Maturity
4.11.29 Credit Union Investments by Maturity
Percent of Total Assets
35
3-5 Years
1-3 Years
30
<1 Year

As Of: 2017 Q2
>10 Years
5-10 Years

30

25

25

20

20

15

15

10

10

5

5

0

2007 Q2

2013 Q2

Source: NCUA

80

Percent of Total Assets
35

2 0 1 7 F S O C / / Annual Report

2015 Q2

2017 Q2

0

Note: Federally-insured credit unions. Investments <1
year exclude securities with maturities <3 months.

Credit unions continue to contend with
interest rate risk, given the low interest rate
environment and potential transition to a
higher rate environment with a flatter yield
curve. Many credit unions reduced their
exposure to interest rate risk in 2016, though
interest rate risks remain. Although interestsensitive deposits continue to decline as a share
of total liabilities and are nearing pre-crisis
levels, the share of money market accounts and
individual retirement account (IRA) deposits
remains elevated (Chart 4.11.27). Net long-term
assets slightly increased during 2016 and the
first half of 2017 and remain high relative to
the pre-crisis period (Chart 4.11.28). Having
exhausted other sources of earnings growth,
some credit unions appear to be continuing
to search for yield by lengthening their term
of investments to boost near-term earnings,
though the effect appears to be diminishing.
Investments in total as a share of assets
have edged down since 2013, falling from
28.3 percent of assets to 20.3 percent as of
second quarter 2017. The downward trend in
investments as a share of assets at least partly
reflects substitution toward lending as loan
demand increased. Investments as a share of
assets is similar to where it stood in second
quarter 2007. The share of investments with
maturity greater than three years fell from 11.7
percent of assets in the second quarter of 2013
to 7.9 percent as of second quarter of 2017, but
is still higher than in second quarter 2007, when
the share was 3.6 percent (Chart 4.11.29).
Although credit unions’ close ties to specific
geographies or business organizations offer
certain advantages, localized economic distress
can present these institutions with certain
unique challenges. Two U.S. industries that
highlight potential concentration of risk are
energy and transportation. The fall in the
price of oil since 2014 has led to a decline in
investment and increased layoffs in energy
companies, leading to strains on the credit
unions exposed to the sector. In addition,
credit unions exposed to the taxicab industry
have experienced stress following increased

competition from ridesharing companies and a
decline in demand for traditional taxi services.
As of the second quarter of 2017, there were
seven credit unions with significant member
ties to the taxi industry with $3.0 billion in
taxi medallion loans either on their balance
sheets or sold to other credit unions. Two credit
unions with total assets of more than $1.5
billion and specializing in taxi medallion loans
were placed into conservatorship in the first
half of 2017.

4.12

Nonbank Financial Companies

4.12.1

Securities Broker-Dealers

As of June 2017, there were approximately
4,000 securities broker-dealers registered with
the SEC, a decline of 5 percent from year-end
2015. The number of broker-dealers registered
with the SEC has declined steadily since 2009,
mainly due to consolidation (Chart 4.12.1).
Aggregate net income in the sector increased
by approximately $3.6 billion in 2016 due to
increasing revenues, but remains significantly
below the 2009 level (Chart 4.12.2). Aggregate
net income in the first of half of 2017 was $19.2
billion with total revenues of $152 billion.
The U.S. broker-dealer sector remains relatively
concentrated; approximately 60 percent of
industry assets were held by the top ten brokerdealers as of June 2017. The concentration of
the largest broker-dealers has remained fairly
constant over the past several years. Assets
held within the U.S. broker-dealer industry
decreased to $3.9 trillion in 2016 before rising
to $4.2 trillion in the first half of 2017, but
remain well below the peak of $6.8 trillion in
2007 (Chart 4.12.3).
Broker-dealers typically obtain leverage
through the use of short-term secured financing
arrangements, such as repos and securities
lending transactions. Broker-dealer leverage,
measured in various ways, has also declined
markedly since the crisis. The leverage ratio at
broker-dealers, measured as total assets over
owner’s equity, remained largely unchanged at

4.12.1 Number of Broker-Dealers and Industry Net Income

4.12.1 Number of Broker-Dealers and Industry Net Income

Number of Firms
5000

As Of: 2016

Billions of US$
50
Net Income (right axis)
Number of Broker-Dealers (left axis)
40

4500

30
4000
20
3500

3000

10

2009

2010

2011

2012

2013

2014

2015

2016

0

Source: FINRA

4.12.2 Broker-Dealer Revenues
4.12.2 Broker-Dealer Revenues
Billions of US$
As Of: 2016
Billions of US$
400
400
Other
Fees – Supervision,
Margin Interest
Advisory, Administration
Sale of Investment
Underwriting
300
300
Company Shares
Commissions

200

200

100

100

0

2009

2010

2011

2012

2013

2014

2015

2016

0

Source: FINRA

4.12.3 Broker-Dealer Assets and Leverage
4.12.3 Broker-Dealer Assets and Leverage
Trillions of US$
7

As Of: 2017 Q2
Total Assets (left axis)

6

32

Leverage (right axis)

5

Ratio
40

4

24

3

16

2
8

1
0

2005

2007

Source: FINRA

2009

2011

2013

2015

2017

0

Note: Leverage is the ratio of total
assets to total ownership equity. 2017
data as of second quarter 2017.

Financial Developments

81

4.12.4 Large Broker-Dealer Assets and Leverage by Affiliation

4.12.4 Large Broker-Dealer Assets and Leverage by Affiliation
Trillions of US$
5
4

As Of: 2017 Q2

FBO-Affiliated Assets (left axis)

FBO-Affiliated Leverage (right axis)

BHC-Affiliated Assets (left axis)

BHC-Affiliated Leverage (right axis)

Ratio
40
35

3

30

2

25

1

20

0

2010

2011

2012

Source: FINRA

2013

2014

2015

2016

2017

15

Note: Data covers BHC- and FBO-affiliated brokerdealers that are among the 25 largest brokerdealers by assets as of second quarter 2017.

17 in aggregate as of June 2017, well below the
peak of 36 as of year-end 2007.
Most of the largest U.S. broker-dealers are
affiliated with U.S. BHCs or FBOs. Among
the twenty-five largest U.S. broker-dealers,
seven are affiliated with BHCs and twelve with
FBOs. Among large broker-dealers, aggregate
assets for broker-dealers affiliated with BHCs
increased in 2016 and the first half of 2017,
while aggregate assets for broker-dealers
affiliated with FBOs increased during the first
half of 2017 after multi-year declines. BHCaffiliated broker-dealers had an aggregate
leverage ratio of 24 as of second quarter 2017,
while FBO-affiliated broker-dealers had an
aggregate leverage ratio of 20 (Chart 4.12.4).
Since the crisis, broker-dealers have relied more
heavily on unsecured financing from their
parent companies and affiliates. Broker-dealer
financing activity through repo agreements has
declined 27 percent between 2012 and June
2017. Broker-dealers seek to address liquidity
risk associated with short-term securities
financing liabilities by requesting high quality
liquid collateral and extending weightedaverage maturities (WAM) of repo transactions.
A broker-dealer’s short-term liabilities are
typically supported by a very liquid asset base
such as U.S. Treasury securities, as well as
agency debt and MBS. For the largest brokerdealers, the WAM of repo for very liquid
products was approximately one month as of
June 2017. Less liquid assets such as high-yield
debt are typically financed through termsecured financing arrangements, capital, or
long-term lending from the parent company.
For the largest broker-dealers, the WAM of
repo for less liquid assets was in excess of three
months as of June 2017.

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2 0 1 7 F S O C / / Annual Report

4.12.2 Insurance Companies
Net income among life insurers has remained
generally unchanged, having fallen slightly in
2016 and risen moderately in the first half of
2017 (Chart 4.12.5). Higher catastrophe losses
drove net income lower among property and
casualty (P&C) insurers, with net income down
24 percent in 2016, and down 29 percent yearover-year in the first half of 2017.
Market share of the ten largest life insurers
ticked lower in 2016, as direct premiums and
annuity considerations at these firms fell
from 54.7 percent of the industry total to
52.9 percent. The ten largest P&C insurers
constituted 46.5 percent of direct premiums
written in 2016, up from 45.6 percent in 2015.
Insurers have also reported some degree of
a shift in product sales in recent years. For
instance, sales of fixed annuities, in which life
insurers guarantee a fixed interest rate for the
annuitant, have partly replaced sales of variable
annuities, in which benefits fluctuate with the
performance of underlying investments.

4.12.5 Insurance Industry Net Income
4.12.5 Insurance Industry Net Income
Billions of US$
75
Life
P&C
60

As Of: 2017 Q2

60

45

45

30

30

15

15

0

2010

2011

2012

2013

Source: SNL Financial

2014

2015

2016

2017
YTD

0

Note: Life includes accident and health.

4.12.6 Net Yield on Invested Assets
4.12.6 Net Yield on Invested Assets
Percent
6

Life

5

3

2
2010

Percent
6

As Of: 2017 Q2

4

Insurance companies continued to cite the low
interest rate environment as a driver of lower
investment income and thus a headwind to
profitability, although heightened expectations
for future interest rate increases towards the
end of 2016 helped improve their stated outlook
for the industry. Insurers’ net yields on invested
assets have declined in recent years and remain
at low levels (Chart 4.12.6).

Billions of US$
75

5

4

P&C

3

Yield on A-Rated
Corporate Debt
2011

2012

2013

2014

Source: SNL Financial, Bank of
America Merrill Lynch, Haver Analytics

2015

2016

2017

2

Note: Life includes
accident and health.

As interest rates have remained low over the
past several years, insurers have increased
general account investment exposures to
certain asset classes in order to capture higher
expected yields. Among life insurers in 2016
and the first half of 2017, investments in
mortgage loans increased 14.2 percent, and
those in common stocks increased 22.4 percent,
as total cash and investments overall increased
7.6 percent. Certain other net admitted
investments, which include nontraditional
securities, increased 9.7 percent, having
generally outpaced growth in investments
overall in recent prior years.
Financial Developments

83

4.12.7 Insurance Industry Capital and Surplus
4.12.7 Insurance Industry Capital and Surplus
Billions of US$
1000

750

As Of: 2017 Q2

Life Capital and Surplus / Assets (right axis)
P&C Capital and Surplus / Assets (right axis)
Life Capital and Surplus (left axis)
P&C Capital and Surplus (left axis)

Percent of Total Assets
60
50
40

500

30
20

250

0

10
2010

2011

2012

2013

2014

2015

2016

2017
YTD

0

Note: C&S/Assets is calculated as capital and surplus as a
percent of net admitted assets less net admitted separate
account assets. Life includes accident and health.

Source: SNL Financial

4.12.8 Consumer Loans and Leases Outstanding
4.12.8 Consumer Loans and Leases Outstanding
Trillions of US$
2.5

As Of: Oct-2017

Trillions of US$
2.5

2.0
1.5

2.0
1.5

Commercial Banks

1.0

1.0

0.5

0.5

Finance Companies

0.0
2001

2004

2007

2010

2013

2016

0.0

Note: Loans and leases owned and securitized. Series breaks
in December 2010 and 2014 due to change in data collection
methodology. Gray bars signify NBER recessions.

Source: Federal Reserve,
Haver Analytics

4.12.9 Business Loans and Leases Outstanding
4.12.9 Business Loans and Leases Outstanding
Trillions of US$
2.5

As Of: Oct-2017

Trillions of US$
2.5

2.0
1.5

2.0
Commercial Banks

1.5

1.0
0.5
0.0
2001

1.0

2004

2007

Source: Federal Reserve,
Haver Analytics

84

0.5

Finance Companies

2 0 1 7 F S O C / / Annual Report

2010

2013

2016

0.0

Note: Loans and leases owned and securitized. Series
break in December 2010 due to change in data collection
methodology. Gray bars signify NBER recessions.

Bonds remain the primary investment
allocation for both life and P&C insurers, with
the ratio of bonds to total cash and investments
at 73 percent among life insurers and 60
percent among P&C firms as of mid-2017.
Capital and surplus as a percent of total assets
has remained generally unchanged over the
past few years at life and P&C insurers (Chart
4.12.7).

4.12.3 Specialty Finance
Although outstanding consumer and business
loans from commercial banks increased in
2016 and 2017, loans from specialty finance
companies were generally flat over this period.
Specialty finance companies are non-depository
institutions that provide loans to consumers and
businesses. Specialty finance companies held
approximately $739 billion of consumer loans
and leases and $384 billion of business loans
and leases as of August 2017 (Charts 4.12.8,
4.12.9). Specialty finance companies’ ownership
of real estate loans and leases declined in 2016
and 2017 and remains well below its pre-crisis
peak.
While specialty finance companies trail
commercial banks in overall consumer lending
volume, these firms do maintain an outsized
market share in certain types of activity. Amid
surging auto loan growth, for example, specialty
finance companies originated 48 percent of
total auto loans in the first half of 2017, a slight
decline from the 51 percent recorded during
2016. These firms, however, accounted for 71.7
percent and 72.6 percent of subprime auto loan
originations, respectively, in those periods—
well above the subprime lending market share
of banks and credit unions. As opposed to
banks, which generally have more stable sources
of funding such as deposits, specialty finance
companies rely to a higher degree on wholesale
funding and the securitization market.
Total asset-backed security (ABS) issuance
was approximately $322 billion in 2016, which

was a slight decline from 2015 issuance (Chart
4.12.10). As of October of 2017, issuance has
totaled $391 billion, a 52 percent increase
compared to the same period in 2016.
After rapid growth in issuance over the past few
years, auto ABS issuance fell 6 percent in 2016
to $92 billion. Auto ABS issuance totaled $87
billion through October of 2017, roughly the
same as over the same period in 2016. Credit
card ABS issuance increased 9 percent in 2016
as more credit card companies returned to the
ABS market. This trend continued through
October of 2017, as credit card companies
took advantage of tight credit card spreads in
the ABS market in a rising rate environment.
Compared to the same period in 2016, credit
card ABS issuance has grown by 55 percent.
Overall, the heightened market volatility in the
first half of 2016 had a negative impact on ABS
issuance as ABS spreads generally widened to
multiyear highs (Chart 4.12.11). The impact
was amplified for products that are subject to
relatively higher credit risk, such as subprime
auto ABS. However, the impact on plain-vanilla
ABS products, such as credit card ABS, was
more muted. The issuance resumed as the
markets stabilized, and credit spreads tightened
rapidly in the second half of 2016 and early
2017.

4.12.10 ABS Issuance
4.12.10 ABS Issuance
Billions of US$
As Of: Oct-2017
450
Other
400
Student Loans
Equipment
350
CDO
300
Credit Card
Auto
250

Billions of US$
450
400
350
300
250

200

200

150

150

100

100

50

50

0

2008

2010

2012

2014

Source: Thomson Reuters, SIFMA

2016

0

Note: 2017 data is year-to-date.

4.12.11 Selected ABS Spreads
4.12.11 Selected ABS Spreads
Basis Points
300

200

Basis Points
300
Prime Auto Fixed BBB 3-Year
Credit Card Fixed BBB 3-Year
250
Prime Auto Fixed AAA 3-Year
Credit Card Fixed AAA 3-Year
200

150

150

100

100

50

50

As Of: 31-Oct-2017

250

0
2010

2011

2012

2013

2014

2015

Source: J.P. Morgan

2016

2017

0

Note: Spreads to swaps.

4.12.4 Agency REITs
During 2016, listed agency REIT assets—which
consist mainly of agency MBS—fell 3.8 percent
to $249 billion, the lowest level since mid-2011
(Chart 4.12.12). During the first half of 2017,
assets have been steady around $250 billion.
The market remains concentrated with over 50
percent of the share within two REITs. While
total sector assets have steadily declined from
a peak of $414 billion in 2012, leverage, as
measured by the ratio of total assets to equity,
has remained relatively constant in recent years.
It has fluctuated between 6.7 and 7.2 since
2014, and is well below pre-crisis levels of 10.0
to 12.0. Most individual agency REITs maintain
leverage ratios between 4.0 and 8.0, though
some recorded ratios as high as 11.0 in 2016.

4.12.12 Agency REIT Assets and Leverage
4.12.12 Agency REIT Assets and Leverage
Ratio
18

As Of: 2017 Q2

Billions of US$
500

Total Assets (right axis)

15

400

12

300

9

Leverage
(left axis)

200

6

100

3
0
2000

2003

Source: Bloomberg, L.P.

2006

2009

2012

2015

0

Note: Leverage is the ratio of total
assets to equity. Not all agency REITs
existed in all time periods in the figure.

Financial Developments

85

4.12.13 Agency REIT Price-to-Book Ratio
4.12.13 Agency REIT Price-to-Book Ratio
Ratio
2.0

As Of: 2017 Q2

Ratio
2.0

1.5

1.5

1.0

1.0

0.5

0.5

0.0
2000

2003

2006

Source: Bloomberg, L.P.

2009

2012

2015

0.0

Note: Price-to-book ratio is weighted by
market capitalization. Not all agency REITs
existed in all time periods in the figure.

Share prices of agency REITs largely increased
over 2016 and the first half of 2017 alongside
broad gains in domestic equity markets,
retracing much of the substantial declines
in sector share prices in 2015. Because of
the strong equity price performance, the
aggregate P/B ratio for agency REITs increased,
rising from 0.78 to 1 in June 2017 (Chart
4.12.13). Prior to this recovery, the sector had
experienced an aggregate P/B ratio below 1.00
for 16 consecutive quarters dating back to mid2013.
In 2016, agency REITs largely benefitted from
a steepening of the Treasury yield curve in
the fourth quarter and a measured increase
in U.S. dollar LIBOR through the second
half of the year. Because agency REITs earn
income by purchasing longer-dated agency
MBS through shorter-term borrowing in the
repo market, they are typically able to generate
larger profits when the yield curve steepens.
While the yield curve did steepen in late 2016,
it remains flatter than has been the case for
most of the post-crisis period. The increase in
U.S. dollar LIBOR, largely attributed to lower
demand for bank-issued CP and CDs resulting
from recent MMF reforms, also tends to benefit
agency REITs. This is because they typically
hedge using interest rate swaps in which they
receive payments tied to LIBOR. When LIBOR
rises faster than their repo financing costs, they
are able to generate higher profits. However,
while LIBOR did rise over the course of 2016, it
remains well below its historical average.
Finally, most agency REITs have terminated
their use of advances from the FHLBs as a
source of funding in response to the FHFA’s
amendment of the eligibility criteria for FHLB
membership in early 2016. No agency REITs
have reported material disruptions in the
overall availability of funding following this
development.

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4.13

Investment Funds

4.13.1

Money Market Mutual Funds

Net assets held by MMFs fell 4 percent to
$3.0 trillion in 2016, remaining close to the
industry’s five-year average. Net AUM remained
generally unchanged over the first ten months
of 2017. The number of MMFs continued to
decline—by 89 in 2016 and by 14 over the first
ten months of 2017—to a total of 399.
As of October 2017, the five largest MMF
complexes managed 51 percent of all MMF
assets, up from 46 percent at the end of 2015,
and the ten largest advisors managed 75
percent of all assets, up from 71 percent at the
end of 2015.
MMF yields increased in 2016 and 2017 along
with U.S. short-term interest rates. Having
instituted fee waivers in recent years to prevent
yields from entering negative territory, MMF
advisors reduced these waivers in 2016 as rates
increased. From 2015 year-end to October 2017,
net yields offered by prime MMFs increased
from 22 basis points to 109.
The MMF industry experienced significant
changes in 2016 and early 2017 as MMF reforms
came into effect. Reforms led to lasting changes
in the composition of MMF assets, as well as
temporary changes in liquidity and maturity
profiles, money market-sensitive interest rates,
and several other aspects of the industry (see
Box C).

Financial Developments

87

Box C: Market Response to Money Market Mutual Fund Reforms

The MMF industry experienced significant
structural changes in 2016 and 2017, largely
due to the implementation of SEC reforms.
The reforms led to a significant shift in the
composition of fund assets and impacted certain
funding markets.
The reforms, which were fully implemented as
of October 2016, were instituted to mitigate the
risk of investor runs on MMFs, following runs
experienced in 2008. The reforms mandated
that institutional prime and tax-exempt MMFs,
which invest primarily in financial and nonfinancial
corporate short-term debt instruments and
municipal securities, respectively, price their
shares based on the market values of their assets
rather than on amortized cost. The reforms also
required that prime and tax-exempt MMFs for
both institutional and retail customers establish
tools to enable funds’ boards of directors to
impose liquidity fees and redemption gates under
certain conditions. Unlike these fund types,
government MMFs, which invest primarily in U.S
Treasury and agency securities, as well as in repo
collateralized by such securities, may continue to
maintain a stable net asset value (NAV) and are
not required to be able to impose redemption
fees and restrictions.
Asset Composition
Due largely to the implementation of reforms,
assets in prime and tax-exempt MMFs declined
sharply and shifted to government MMFs.
Approximately $1 trillion in assets shifted from
prime to government MMFs through either fund
conversions or investor reallocation, driven mostly
by institutional investors and intermediaries,
including broker-dealer sweep accounts. As of
October 2017, prime MMFs held 22 percent of
industry assets, down from 51 percent at 2015
year-end, and government MMFs held 74 percent
of industry assets, up from 41 percent at 2015
year-end (Chart C.1).

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The shift toward government MMFs led
to stronger demand for government fundeligible assets, including Treasury and agency
securities, private market repo collateralized by
government securities, and repo conducted
through the Federal Reserve’s ON RRP
facility. MMF participation in the ON RRP
facility increased in the weeks leading up to the
reform implementation date, coinciding with the
acceleration of outflows from prime funds and
inflows into government funds. Participation
remained elevated through the reform
implementation date compared to average levels
seen earlier in 2016 (Chart C.2).

C.1 MMF Assets by Fund Type
C.1 MMF Assets by Fund Type
Trillions of US$
As Of: Oct-2017
4
Tax-Exempt
Government and Treasury
Prime
3

Trillions of US$
4

3

2

2

1

1

0
2011

2012

2013

2014

2015

2016

0

2017

Source: SEC

C.2 ON RRP Take-Up by MMFs
C.2 ON RRP Take-Up by MMFs
Billions of US$
500

As Of: 30-Jun-2017

Billions of US$
500

400

400

300

300

200

200

100

100

0
Jan:16

Apr:16

Source: FRBNY

Jul:16

Oct:16

Jan:17

Apr:17

0

Liquidity
MMF reform implementation also led to shifts in
prime MMFs’ liquidity positions in 2016 and 2017
Prime MMFs’ daily liquidity – the share of assets
that are convertible to cash within one business
day—increased from 32 percent at 2015 yearend to 43 percent in September 2016, as prime
MMFs anticipated redemptions near the October
compliance date. Daily liquidity fell sharply after
the reform implementation date as redemptions
stabilized, reaching 33 percent by October 2017.
The share of assets convertible to cash within five
business days exhibited a similar pattern (Chart
C.3).
Market participants noted that in order to position
for potential outflows ahead of the reform
implementation date, institutional prime fund
managers invested more in shorter-duration
assets, resulting in a temporarily lower WAM
of their portfolios. The decrease in WAMs
contributed to a temporary decline in institutional
prime fund yields.
C.3 Liquid Asset Shares of Prime MMFs
C.3 Liquid Asset Shares of Prime MMFs
Percent of Total Assets
70

As Of: Oct-2017

Percent of Total Assets
70
60

60
Weekly Liquidity

50

50
40

40
Daily Liquidity

30
20
2011

2012

Source: SEC

2013

2014

2015

rise in unsecured bank borrowing rates ahead
of the reform implementation date, as prime
MMFs historically have been a major source of
short-term lending to banks. Unsecured bank
borrowing rates, such as U.S. dollar LIBOR
and financial CP and negotiable CD rates, rose
notably ahead of the reform implementation date
absent any meaningful change in perceived credit
conditions. The three month LIBOR-OIS spread,
one measure of the cost of unsecured interbank
lending, rose by about 15 basis points to a high
of 43 basis points during the third quarter of
2016 (Chart C.4). This increase was temporary,
however. Spreads have since declined to 2015
year-end levels as banks have utilized alternative
funding sources, including other types of
investment funds.
The dollar amount of CP owned by prime MMFs
fell 65 percent from June 2014, just prior to the
publication of the reform rule, to December 2016.
As a percentage of total CP outstanding, prime
MMFs’ holdings of CP fell from 42 percent to 17
percent over this period. Total CP outstanding
declined only 12 percent, indicating that
borrowers were able to attract other investors
into the CP and CD markets (see Section 4.9.1).
Although MMFs retraced some of the decline in
CP and CD holdings in 2017, the amount of these
holdings remains well below levels witnessed
before the reform implementation.

30

2016

2017

20

Note: Weighted by fund size.

Impact on Funding
Money market-related interest rate spreads also
experienced high volatility over 2016 and 2017.
According to market participants, the significant
reduction in demand from prime MMFs and
shortening of WAMs contributed to a sharp

Financial Developments

89

Tax-Exempt MMFs
Tax-exempt MMFs also saw outflows of over $100
billion ahead of the reform implementation date,
equivalent to roughly 40 percent of AUM. The SIFMA
Municipal Market Swap Index, a weekly measure of
the average 7-day interest rate on certain high-grade
municipal debt, increased from 1 basis point in early
2016 to a peak of 87 basis points shortly ahead of
the reform implementation date. Market participants
attributed the increase in part to reduced demand for
this debt from tax-exempt MMFs. The SIFMA index
subsequently retraced some of this increase before
rising again in late 2016 and 2017 with other shortterm interest rates.
Post-Implementation
Reform implementation did not appear to result in
any immediate material disruptions to market liquidity
conditions in U.S. money markets. Following the
reform implementation date, government and prime
fund AUM steadied, and participation in the ON
RRP facility remained elevated in late 2016. Market
participants noted that higher government fund AUM
led to stronger demand for U.S. Treasury and agency
repo. In 2017, government funds further increased
repo holdings as repo dealers increased supply,
leading to lower participation in the ON RRP facility
relative to late 2016.
Total prime fund AUM stabilized following the reform
implementation date and was little changed through
year-end. In 2017, prime fund AUM increased slightly,
leading to larger holdings of financial CP and CDs,
although balances still remain well below pre-reform
levels. Institutional prime fund WAMs began to
increase after the implementation date as reformrelated outflows stopped and as fund managers were
better able to forecast investor redemption demand.
The three-month LIBOR-OIS spread fell from postreform highs and retraced by the first half of 2017 to
levels below those prevailing in early 2016.

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C.4 LIBOR-OIS Spread
C.4 LIBOR-OIS Spread
Basis Points
50

As Of: 31-Oct-2017

Basis Points
50

40

40

30

30

20

20

10

10

0
Jan:16 Apr:16

Jul:16

Source: Bloomberg L.P.

Oct:16

Jan:17 Apr:17

Jul:17

Oct:17

0

4.13.2 Mutual Funds
The AUM of the U.S. mutual fund industry,
which includes equity and bond/hybrid
funds, grew 19 percent over 2016 and the
first three quarters of 2017 to $15.3 trillion,
constituting approximately 71 percent of total
U.S. investment company AUM (Chart 4.13.1).
The recent growth in mutual fund AUM can
be attributed to capital appreciation, as the
industry experienced approximately $100 billion
of cumulative net outflows over this period.

4.13.1 Net Assets of the Investment Company Industry
4.13.1 Net Assets of the Investment Company Industry
Trillions of US$
25

Trillions of US$
25

Other
ETFs
MMFs
Bond/Hybrid Mutual Funds
Equity Mutual Funds

20
15

20
15

10

10

5

5

0

Mutual funds recorded net cash outflows for
most months of 2016, with bond/hybrid fund
inflows offset by larger outflows from equity
funds. Total net outflows peaked in the fourth
quarter, as bond funds experienced outflows
following a rally in risk assets (Charts 4.13.2,
4.13.3). In late 2016, municipal bond funds
experienced their largest outflows since 2013, as
investors withdrew money due to expectations
of future tax cuts, which could diminish the
value of preferential tax treatment of municipal
bonds, and an increase in municipal bond
supply. In the first ten months of 2017, equity
funds witnessed smaller outflows than in 2016,
while inflows into bond funds grew stronger.

As Of: 2017 Q3

1996

1999

2002

2005

Source: ICI, Haver Analytics

2008

2011

2014

2017
YTD

0

Note: Other is composed of unit investment trusts and closed-end
funds. 2017 YTD figures include 2016 UIT data, which is reported
annually.

4.13.2 Monthly Bond Mutual Fund Flows
4.13.2 Monthly Bond Mutual Fund Flows
Billions of US$
40

As Of: Sep-2017

Billions of US$
40

Tax-Exempt
Taxable

20

20
0

0
-20

-20

-40

-40

-60

-60

-80
2013

2014

2015

2016

2017

-80

Source: ICI, Haver Analytics

4.13.3 Monthly Equity Mutual Fund Flows
4.13.3 Monthly Equity Mutual Fund Flows
Billions of US$
40

As Of: Sep-2017

Billions of US$
40

30

30

20

20

10

10

0

0

-10

-10

-20

-20

-30

-30

-40
2013

2014

2015

2016

2017

-40

Source: ICI, Haver Analytics
Financial Developments

91

4.13.4 Bank Loan Mutual Funds: Annual Flows
4.13.4 Bank Loan Mutual Funds: Annual Flows
Billions of US$
75

As Of: Oct-2017

Billions of US$
75

60

60

45

45

30

30

15

15

0

0

-15
-30

-15
2005

2007

2009

2011

2013

2015

2017
YTD

-30

Source: Morningstar, Inc.

4.13.5 High-Yield Mutual Funds: Annual Flows
4.13.5 High-Yield Mutual Funds: Annual Flows
Billions of US$
30

As Of: Oct-2017

Billions of US$
30

20

20

10

10

0

0

-10

-10

-20

-20

-30

2005

2007

2009

2011

2013

2015

2017
YTD

-30

Source: Morningstar, Inc.

4.13.6 Alternative Mutual Funds: Annual Flows
4.13.6 Alternative Mutual Funds: Annual Flows
Billions of US$
60

As Of: Oct-2017

50

50

40

40

30

30

20

20

10

10

0

0

-10

2005

2007

2009

Source: Morningstar, Inc.

92

Billions of US$
60

2 0 1 7 F S O C / / Annual Report

2011

2013

2015

2017
YTD

-10

Bank loan and high-yield mutual funds
experienced mixed flows in 2016 and the first
ten months of 2017, following outflows in
the preceding two years. Bank loan mutual
funds experienced net inflows of $19.1 billion
over this period, while high-yield bond funds
experienced net inflows of $8.0 billion in 2016
but net outflows of $16.6 billion in 2017 (Charts
4.13.4, 4.13.5). Alternative mutual funds,
which include funds that implement longshort, market-neutral, and inverse strategies,
and which had constituted the fastest-growing
category of mutual funds in recent years,
experienced $8.1 billion of net outflows in 2016
and $1.1 billion of net inflows in the first ten
months of 2017 (Chart 4.13.6).
Investors have continued to gravitate away
from actively-managed equity mutual funds
and towards lower-cost, index-based equity
funds. As of October 2017, passively managed
mutual funds and exchange-traded funds
(ETFs) represented 45 percent of U.S. equity
fund AUM, up from 26 percent in 2009. From
2015 year-end through October 2017, passively
managed international and U.S. equity funds
witnessed inflows of $642 billion, while their
actively managed counterparts witnessed
outflows of $454 billion (Chart 4.13.7). In fixed
income mutual funds, both actively-managed
and index funds have continued to experience
inflows.

4.13.3 Exchange-Traded Products
In 2016 and 2017, U.S. exchange-traded
products (ETPs) continued to expand at a
faster pace than many other types of investment
vehicles. AUM increased 20 percent in 2016
and an additional 28 percent over the first
ten months of 2017, reaching $3.3 trillion
by October month-end (Chart 4.13.8). AUM
growth has been primarily driven by inflows,
which totaled $286 billion in 2016 and $384
billion in the first ten months of 2017. U.S.
equity ETFs accounted for half of all inflows
in 2016, while international equity, taxable
bond, and U.S. equity ETFs each counted
for approximately 30 percent of total inflows
during the first ten months of 2017. The
industry—which includes ETFs, exchangetraded notes, and certain other investment
vehicles—remains concentrated, with the three
largest ETP managers accounting for over 80
percent of total ETP assets. The number of
available ETPs increased 8 percent in 2016 and
an additional 4 percent over the ten months of
2017, driven by products focused on alternative
asset classes or strategies.
ETFs, which constitute most ETP assets,
accounted for approximately 15 percent of the
U.S. investment company industry in September
2017, up from 12 percent at the end of 2015
and 4 percent in 2006. Index-based ETFs across
nearly all asset classes experienced strong
rates of net asset growth over this time period.
Additionally, so-called “strategic” beta or
“smart” beta ETFs, which differ from traditional
index-based funds by targeting certain risk
and return characteristics such as volatility or
income, grew rapidly in 2016 and 2017.

4.13.4 Pension Funds
As of the first quarter of 2017, the combined
AUM of U.S. private and public pensions,
including federal pensions and defined
contribution plans, was approximately $27.3
trillion (Chart 4.13.9). Changes to pension
allocations can amplify asset price volatility and
exacerbate business cycle fluctuations. However,
the broader impact of such changes and
potential risks emanating from pension funds

4.13.7 Cumulative Equity Fund Flows
4.13.7 Cumulative Equity Fund Flows
Trillions of US$
As Of: Oct-2017
1.2
International Passively Managed
U.S. Passively Managed
0.8
International Actively Managed
U.S. Actively Managed
0.4

Trillions of US$
1.2
0.8
0.4

0

0

-0.4

-0.4

-0.8

-0.8

-1.2
2009 2010 2011 2012 2013 2014 2015 2016 2017

-1.2

Source: Morningstar, Inc.

Note: Includes ETFs and mutual funds.

4.13.8 U.S.-Listed ETP AUM
4.13.8 U.S.-Listed ETP AUM
Trillions of US$
As Of: Oct-2017
3.5
AUM
Cumulative Market Appreciation
Cumulative Flows to ETFs
2.5

Trillions of US$
3.5

2.5

1.5

1.5

0.5

0.5

-0.5
2009 2010 2011 2012 2013 2014 2015 2016 2017

-0.5

Source: Morningstar, Inc.

4.13.9 Retirement Fund Assets by Plan Type
4.13.9 Retirement Fund Assets by Plan Type
Trillions of US$
As Of: 2017 Q1
28
Individual Accounts
Private Defined Contribution Plans
24
Private Defined Benefit Plans
State and Local
20
Federal

Trillions of US$
28
24
20

16

16

12

12

8

8

4

4

0

2007

2009

2011

2013

2015

2017

0

Source: Federal Reserve, Haver Analytics
Financial Developments

93

4.13.10 Public and Private Pension Funding Levels
4.13.10 Public and Private Pension Funding Levels
Percent
120

Percent
120

As Of: 2016

110

110

100

100

Private Defined
Benefit Plans

90
80

90
80

Public Defined
Benefit Plans

70
60
2002

are difficult to assess given data limitations,
including lack of uniform reporting, timeliness,
and granularity of pension assets, liabilities,
and return assumptions.

70

2004

2006

2008

2010

2012

2014

60
2016

Source: Public Fund Survey, Milliman 2016 Pension Funding Study

Corporate Plans
Corporate defined benefit funded status—the
estimated share of fund liabilities covered by
current assets—was little changed in 2016
(Chart 4.13.10). One estimate of the funded
status of the 100 largest corporate defined
benefit pension plans in the United States was
83.3 percent in December 2016, up slightly
from the previous year. During the first three
quarters of 2017, the funded ratio increased to
84.3 percent, due to strong asset returns.

Multiemployer Plans
Plans in the multiemployer sector are on
average 49 percent funded. While the Pension
Benefit Guaranty Corporation (PBGC) projects
the majority of multiemployer plans will remain
solvent over the next 20 years, a core group of
plans appears unable to raise contributions
sufficiently to avoid insolvency within that
period. According to the PBGC, over 1 million
participants are covered in the plans facing
insolvency.
The PBGC currently guarantees a maximum
payment of $12,870 per year for a retiree at
age 65 with 30 years of service—substantially
smaller than the guarantee PBGC provides
to single-employer plans of $64,432. The
PBGC projects it will have insufficient funds
to cover the projected future demands from
multiemployer plans requiring financial
assistance. It is more likely than not the PBGC
multiemployer program will run out of money
by 2025. When the multiemployer program
becomes insolvent, the PBGC will be unable
to provide financial assistance to pay the
full level of guaranteed benefits in insolvent
multiemployer plans.
The Kline-Miller Pension Reform Act allows
multiemployer plans projected to become
insolvent in the next 20 years (15 in some
cases) to apply to the Treasury Department for
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2 0 1 7 F S O C / / Annual Report

permission to reduce pension benefits if doing
so would allow the plan to remain solvent over
the long-term and continue to provide benefits
at least 10 percent higher than the level of the
PBGC guarantee, with further protections
for the aged and disabled. Thus far, 15 plans
have filed 19 applications with the Treasury
Department. Four applications have been
approved, five applications have been denied,
and nine applications have been withdrawn.
The remaining application is in the process of
being evaluated.

Public Plans
In 2016, the aggregate funded status of U.S.
public pension plans was 72.1 percent, slightly
lower than the prior year. Also of note, public
pension funds generally use a different set
of accounting rules than private pension
funds. These rules enable them to assume
investment returns based on their own long-run
expectations, which are significantly higher
than average post-crisis returns, and thus could
overstate funded status. Most recently a number
of large public plans have revised their longterm investment expectations downwards. The
underfunding of certain public plans continues
to exert fiscal pressure on their sponsoring
municipalities including U.S. territories Puerto
Rico and the U.S Virgin Islands, as well as
certain municipalities such as Dallas and
Chicago.

4.13.5 Alternative Funds
Hedge Funds
Despite the price rally in several asset classes
in 2016, many hedge funds witnessed net
outflows. Relatively weak returns and high
fees led investors to pull approximately $70
billion from hedge funds in 2016, breaking
from six consecutive years of inflows. Flows
were relatively flat in the first three quarters
of 2017, with net inflows totaling $1.2 billion
year-to-date. Since 2015, the total number of
hedge funds and hedge fund advisers stayed
roughly the same, totaling approximately 9,000
and 1,700 respectively. As of the first quarter
of 2017, hedge funds that file the SEC’s Form
Financial Developments

95

PF managed $3.6 trillion of net assets, a 4.3
percent increase since the fourth quarter of
2015. Over the same period, the aggregate
gross asset value (GAV) of hedge funds that file
SEC’s Form PF increased by 10.0 percent to $6.5
trillion. (Using GAV as a measure for hedge
funds reflects the effect of leverage obtained
through cash and securities borrowing.)
Generally, private funds that are reported on
Form PF represent funds of investment advisers
that are required to register with the SEC and
have at least $150 million in private fund AUM.
Responding to investor pressure, funds cut
management fees in 2016, with approximately
70 percent of funds charging annual
management fees of less than 2 percent of
assets, up from approximately 60 percent in
2015. Specifically, there were reports that large
hedge funds cut fees in 2016.
The hedge fund industry also remains relatively
concentrated. As of the first quarter of 2017,
the top ten hedge fund advisers (by NAV) that
filed Form PF managed 18.7 percent of total
hedge fund NAV. The top ten advisers (by gross
notional exposure) represented 48.0 percent
of gross notional exposures, which include
derivatives. As of the first quarter of 2017, total
borrowing by qualifying hedge funds was $2.1
trillion, a 17.4 percent increase since 2015.
This increase was driven mostly by increases in
secured borrowing through prime broker and
repo financing. Unsecured borrowing remained
less than 1 percent of total borrowing.
Hedge funds returned an average of 6.2
percent in 2016, net of fees, though returns
varied by strategy type. Distressed securities
funds outperformed others in 2016, up 14.4
percent on average, driven largely by gains on
their holdings of previously distressed debt
and equity securities from the rebound in
oil prices from the lows in the first quarter
of 2016. Emerging markets funds and eventdriven funds also ranked among the strongest
performers of 2016. In 2017, hedge funds have
returned an average of 7.4 percent year-to-date.

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Private Equity
The private equity industry continues to attract
investor assets and is becoming increasingly
concentrated. According to one measure of
private equity that includes buyout, venture
capital, and turnaround funds, private equity
AUM increased 7 percent in 2016 and an
additional 5 percent in the first quarter of
2017 (Chart 4.13.11). The industry continued
to become more concentrated: the share of
aggregate capital raised by the largest ten funds
reached 26 percent in 2016, up from 19 percent
in 2014.
According to SEC Form PF data from the first
quarter of 2017, large private equity advisers, or
advisers with at least $2 billion in private equity
AUM, managed approximately 72 percent of
net assets for private equity funds that filed
Form PF, which was similar to the previous year.
For the funds managed by these large advisers,
beneficial ownership from pension plans
increased 10.0 percent since 2015 to $507 billion
while sovereign wealth funds and other foreign
entities and insurance companies increased
16.7 percent (to $154 billion) and 11.9 percent
(to $94 billion) year-over-year, respectively.
Collectively, these investors beneficially own
over 50 percent of net assets of private equity
funds managed by the large advisers.
Acquisition-related activity backed by
private equity increased in 2016 and 2017,
driven by higher leveraged buyout volumes
(Chart 4.13.12). Similarly, private equity
recapitalizations financed with leveraged
loans, in the form of dividends and equity
contributions, increased 55 percent in 2016, to
$96 billion.

4.13.11 North American Private Equity AUM
4.13.11 North American Private Equity AUM
Trillions of US$
As Of: 2017 Q1
1.6
Undeployed Capital
Existing Investments

Trillions of US$
1.6

1.2

1.2

0.8

0.8

0.4

0.4

0.0

2005

2007

2009

2011

2013

2015

2017
YTD

0.0

Source: Preqin

4.13.12 M&A Loan Volume for Private Equity-Backed Issuers

4.13.12 M&A Loan Volume for Private Equity-Backed Issuers

Billions of US$
200
Non-LBO
LBO

As Of: Oct-2017

Billions of US$
200

150

150

100

100

50

50

0

2011

2012

2013

2014

2015

2016 2017 YTD

0

Source: S&P LCD

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4.14.1 U.S. Consumer Adoption of Payment Instruments
4.14.1 U.S. Consumer Adoption of Payment Instruments
Percent of Consumers

As Of: 2014

Percent of Consumers

100

100

80

80

60

60
Cash
Check
Online Banking Bill Payments
Checking Account
Credit
Debit

40
20
0
1989

1993

1997

Source: Federal Reserve
Bank of Boston

2001

4.14 New Financial Products and
Services

2005

2009

2013

40
20
0

Note: Survey of Consumer Finances data
from 1989 to 2007. Survey of Consumer
Payment Choice data from 2008 to 2014

Financial innovation has created new methods
of making payments or lending. Such
developments are often evolutionary changes
to current practices, made by existing financial
institutions within extant markets. In recent
years, some new financial products and services
have been labeled ‘FinTech,’ short for ‘financial
technology.’ This subsection discusses longerterm trends in the areas of payments and
lending, providing recent data when available.

4.14.1

Payments

Consumers have gradually changed the ways in
which they have made payments through time.
For example, data from the Federal Reserve’s
Survey of Consumer Finances shows that only
about 10 percent of consumers had debit cards
in 1992; over the next 22 years, that proportion
increased to about 80 percent (Chart 4.14.1).
Similarly, responses to the Federal Reserve’s
Survey of Consumer Payment Choice showed
that the percentage of consumers using online
banking bill payments increased from about 50
percent to nearly 60 percent between 2008 and
2014.
In the past few years, several new ways of
making payments have developed; among
them are peer-to-peer money transfer services
and virtual currencies. Peer-to-peer transfers
allow consumers to make payments to other
consumers or firms online, usually through
a mobile device app. The apps are usually
linked to debit or credit card accounts or bank
accounts, and the funding transfers therefore
proceed through existing payment networks.
Although some providers of such services are
relatively new companies and experienced
substantial growth in 2016, banks and other
existing financial service providers have also
entered the market.
Virtual currencies, such as Bitcoin, represent a
different approach to payment. Some of these
currencies use distributed ledger technology
(or a related technology known as blockchain
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technology), in which data are shared across
a network, with identical copies stored at and
synchronized across multiple locations. Virtual
currencies are only used by a very small number
of consumers; about one half of one percent of
respondents to the 2015 Survey of Consumer
Payment Choice reported using virtual
currencies. The underlying technology of
distributed ledgers, however, could have much
broader applications beyond those of virtual
currencies. Some financial institutions have
implemented such systems in proof of concepts
to evaluate the potential for broader adoption
in areas such as interbank and intrabank
payments, derivatives processing, repo clearing,
and trade finance.

4.14.2 Lending
Marketplace lending is a relatively new type
of financial service focused on loans. Initially
marketplace lending focused on retail investors
providing funding to individual borrowers,
and was called peer-to-peer lending. It has
now evolved to largely include funding by
institutional investors to provide financing
to consumer and small business loans. Many
such lenders use a variety of data sources
and emerging technologies for customer
acquisition and loan origination and servicing.
These data sources include traditional
underwriting criteria, such as income and debt
obligations, but may also include other forms
of information, such as real-time business
accounting and payment and sales history.
Some of the largest marketplace lenders
in the consumer finance area concentrate
on providing debt consolidation loans and
refinancing existing student loans. Although
marketplace lending is growing, it represents
a small portion of overall lending. Leading
marketplace lending platforms have originated
more than $70 billion in loans since 2009.
Marketplace lenders fund loans in a variety
of ways, including through public offerings,
securitizations, loans from banks, whole loan
sales to institutional investors, and individual
retail investors who provide funding to
individual borrowers. Depending on their
Financial Developments

99

funding model, marketplace lenders may not
bear the risk of borrower default and may
not hold the loans on their balance sheet.
Whole loan sales to institutional investors and
the securitization market in particular have
become an increasingly important source of
term funding. Approximately $9.3 billion of
ABS backed by loans originated by marketplace
lenders were issued in 2016, and 2017 issuance
through October is already 18 percent higher at
$11.0 billion, contributing to a cumulative $27.3
billion of such ABS to date.
Although marketplace lending has the potential
to reduce costs and expand access to credit,
the extent to which these benefits have been
realized thus far is unclear. Furthermore, the
marketplace lending model has not been tested
through a full credit cycle. There are risks that
misalignment of incentives could exist on these
platforms.

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5

Regulatory Developments and Council Activities

Since the Council’s 2016 annual report, actions by financial regulatory agencies have included
continued implementation of capital and liquidity standards for financial institutions;
application of supervisory and company-run stress tests; supervisory review and comment on
large banking organizations’ resolution plans; implementation of additional reforms of the
derivatives markets and of asset management practices; and measures intended to enhance
consumer protection. Regulators have also taken steps to further tailor certain existing
regulations, including capital requirements and the rules implementing the Volcker Rule. The
Council continued to fulfill its mandate to monitor potential risks to U.S. financial stability and
serve as a forum for discussion and coordination among the member agencies.
The following is a discussion of the significant financial regulatory reforms implemented since
the Council’s 2016 annual report.

5.1

Safety and Soundness

5.1.1

Enhanced Capital and Prudential Standards and Supervision

In May 2016, the FDIC, OCC, and Federal Reserve issued a proposed NSFR rule. The objective
of the NSFR is to mitigate the potential effects of disruptions to a firm’s regular sources of
funding and create incentives for a firm to improve its structural funding profile and lengthen
the maturity of its funding sources. The proposed rule would apply to BHCs, certain savings
and loan holding companies, and depository institutions that, in each case, have $250 billion
or more in total consolidated assets or $10 billion or more in total on-balance sheet foreign
exposure and to their consolidated subsidiaries that are depository institutions with $10
billion or more in total consolidated assets. The proposed rule would also apply a modified,
less stringent requirement to BHCs and certain savings and loan holding companies with $50
billion or more in assets.
In June 2016, the Federal Reserve issued an advance notice of proposed rulemaking inviting
comment on conceptual frameworks for capital standards that could apply to nonbank
financial companies designated by the Council for supervision by the Federal Reserve that have
significant insurance activities and to depository institution holding companies significantly
engaged in insurance activities. In this advance notice of proposed rulemaking, the Federal
Reserve indicated that standards for the two groups would differ, but both sets of standards
would recognize the differences between insurance companies and banks and would use
insurance-focused risk weights and formulas that reflect the nature of insurance liabilities.
Also in June 2016, the Federal Reserve issued a proposed rule to apply enhanced prudential
standards to nonbank financial companies designated by the Council for supervision by the
Federal Reserve that have significant insurance activities. As required under the Dodd-Frank
Act, these standards would apply liquidity, corporate governance, and risk management
standards to the firms. The proposed rule would also require companies to employ both a
chief risk officer and chief actuary to help ensure that firm-wide risks are properly managed.

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In September 2016, the Federal Reserve released a policy statement detailing the framework the Federal
Reserve will follow in setting the CCyB for private-sector credit exposures located in the United States. The
CCyB is a macroprudential tool that can be used to raise capital requirements on internationally active
banking organizations when the risk of above-normal losses is elevated. The CCyB is intended to help
banking organizations absorb shocks associated with declining credit conditions and also help moderate
fluctuations in the supply of credit. The policy statement provides background on the range of financial
system vulnerabilities and other factors the Federal Reserve may take into account as it evaluates settings
for the buffer, including leverage in the nonfinancial sector, leverage in the financial sector, maturity and
liquidity transformation in the financial sector, and asset valuation pressures. In October 2016 and then
again in December 2017, the Federal Reserve, in consultation with the FDIC and OCC, affirmed the CCyB at
its current level of 0 percent, following the framework detailed in the Federal Reserve’s policy statement.
In December 2016, the Federal Reserve issued a rule requiring U.S. G-SIBs to meet a new long-term debt
requirement and a new total loss-absorbing capacity requirement. The rule requires U.S. G-SIBs to maintain
a minimum amount of loss-absorbing instruments, including a minimum amount of unsecured long-term
debt. In addition, the final rule prescribes certain additional buffers, the breach of which would result in
limitations on the firms’ capital distributions and discretionary bonus payments. The final rule applies
similar requirements to the top-tier U.S. IHC of any foreign G-SIB with $50 billion or more in U.S. nonbranch assets. The rule also subjects the operations of both U.S. and foreign G-SIBs to “clean holding
company” limitations that prohibit certain activities and cap the value of certain liabilities of top-tier U.S.
BHCs of U.S. G-SIBs and top-tier U.S. IHCs of foreign G-SIBs.
Also in December 2016, the Federal Reserve adopted a final rule requiring all depository institution holding
companies and covered nonbank companies that are required to calculate the LCR to publicly disclose
several measures of their liquidity profile. The rule requires these companies to publicly disclose on a
quarterly basis quantitative information about their LCR calculation and a discussion of the factors that have
a significant effect on their LCR.
In September 2017, the Federal Reserve, FDIC, and OCC proposed a rule intended to reduce regulatory
burden by simplifying several requirements in the agencies’ regulatory capital rules. Specifically, the
proposal would simplify the capital treatment for certain acquisition, development, and construction
loans, mortgage servicing assets, certain deferred tax assets, investments in the capital instruments of
unconsolidated financial institutions, and minority interest. Most aspects of the proposed rule would apply
only to banking organizations that are not subject to the “advanced approaches” in the capital rule, which are
generally firms with less than $250 billion in total consolidated assets and less than $10 billion in total foreign
exposure.

5.1.2

Dodd-Frank Act Stress Tests and Comprehensive Capital Analysis and Review

Section 165(i) of the Dodd-Frank Act requires two types of stress tests. First, the Federal Reserve must
conduct annual supervisory stress tests of BHCs with $50 billion or more in total consolidated assets,
U.S. IHCs of FBOs with $50 billion or more in U.S. non-branch assets, and nonbank financial companies
designated by the Council for supervision by the Federal Reserve. Second, financial companies with more
than $10 billion in total consolidated assets regulated by a primary federal financial regulatory agency must
conduct annual company-run stress tests, and BHCs with $50 billion or more in total consolidated assets and
nonbank financial companies designated by the Council must also conduct semiannual company-run stress
tests. In June 2016 and June 2017, the Federal Reserve released the results of the 2016 and 2017 supervisory
stress tests, respectively (see Section 4.11.1).

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In January 2017, the Federal Reserve adopted a rule removing the qualitative assessment of CCAR for “large
and noncomplex firms,” which are BHCs and U.S. IHCs of FBOs with total consolidated assets between
$50 billion and $250 billion and total nonbank assets of less than $75 billion that are not identified as
G-SIBs. The rule also reduces certain reporting requirements for large and noncomplex firms. Large and
noncomplex firms will still be required to meet their capital requirements under stress as part of CCAR’s
quantitative assessment and will be subject to regular supervisory assessments that examine their capital
planning processes. Additionally, the final rule decreases the amount of additional capital that any BHC
subject to the Federal Reserve’s capital plan rule can distribute to shareholders in connection with a capital
plan that has not been objected to unless prior approval is obtained from the Federal Reserve. Previously, a
firm could distribute up to an additional 1 percent of its tier 1 capital beyond the amount in its capital plan.
The final rule reduced that amount to 0.25 percent of tier 1 capital.

5.1.3

Resolution Planning and Orderly Liquidation Authority

Under the framework of the Dodd-Frank Act, resolution under the U.S. Bankruptcy Code is the statutory
first option in the event of the failure of a financial company. Section 165(d) of the Dodd-Frank Act
requires nonbank financial companies designated by the Council for supervision by the Federal Reserve
and BHCs with total consolidated assets of $50 billion or more—including FBOs that are, or are treated as,
BHCs—to report periodically to the Federal Reserve, the FDIC, and the Council with plans—also referred
to as living wills—for their rapid and orderly resolution under the U.S. Bankruptcy Code in the event of
material financial distress or failure. The Federal Reserve and the FDIC review each plan and may jointly
determine that a plan is not credible or would not facilitate an orderly resolution of the company under the
U.S. Bankruptcy Code. If the Board of Governors of the Federal Reserve and the FDIC Board of Directors
make such a joint determination, the agencies must notify the company of the deficiencies in its plan, and the
company must resubmit its plan with revisions that address the deficiencies jointly identified by the Federal
Reserve and FDIC, including any proposed changes in business operations and corporate structure. The
company must also explain why it believes that the revised plan is credible and would result in an orderly
resolution under the U.S. Bankruptcy Code.
If a firm fails to adequately remediate its identified deficiencies, the Federal Reserve and the FDIC, acting
jointly, may impose more stringent capital, leverage, or liquidity requirements, or restrictions on growth,
activities, or operations of the firm, or its subsidiaries. If, following a two-year period beginning on the date
of the imposition of such requirements, a firm still has failed to adequately remediate any deficiencies, the
Federal Reserve and the FDIC, in consultation with the Council, may jointly require the firm to divest certain
assets or operations to facilitate an orderly resolution of the firm in bankruptcy.
In April 2016, the agencies jointly determined that the 2015 resolution plans of each of Bank of America,
Bank of New York Mellon, JPMorgan Chase, State Street, and Wells Fargo were not credible or would not
facilitate an orderly resolution under the U.S. Bankruptcy Code. The agencies issued joint notices of
deficiencies to the five firms detailing the deficiencies in their plans and the actions the firms must take to
address them. Each firm was required to remediate its deficiencies by October 1, 2016. In December 2016,
the agencies jointly determined that Bank of America, Bank of New York Mellon, JPMorgan Chase, and State
Street adequately remediated deficiencies in their 2015 resolution plans.
The agencies jointly determined that Wells Fargo did not adequately remedy two of the firm’s three
deficiencies, specifically in the categories of “legal entity rationalization” and “shared services.” The agencies
also jointly determined that the firm did adequately remedy its deficiency in the “governance” category. In
light of the nature of the deficiencies and the resolvability risks posed by Wells Fargo’s failure to remedy
them, the agencies jointly determined to prohibit Wells Fargo from establishing international bank entities
or acquiring any nonbank subsidiary. The agencies also jointly determined that if after reviewing the March
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submission the agencies both determined that the deficiencies were not adequately remedied, the agencies
would limit the size of the firm’s nonbank and broker-dealer assets to levels in place on September 30, 2016.
Wells Fargo submitted a revised plan in March 2017, and in April 2017, the agencies announced that Wells
Fargo had adequately remediated the deficiencies they had identified. As a result, the firm is no longer
subject to the growth restrictions.
In April 2016, the agencies also provided guidance to be incorporated into the next full plan submissions,
which were submitted by July 1, 2017 by the five firms, as well as Goldman Sachs, Morgan Stanley, and
Citigroup, and are reviewing those plans under the statutory standard.
If the agencies jointly decide that the shortcomings identified in the 2015 resolution plans or the guidance
have not been satisfactorily addressed in a firm’s 2017 plan, the agencies may determine jointly that the plan
is not credible or would not facilitate an orderly resolution under the U.S. Bankruptcy Code. In addition,
the agencies subsequently extended the next resolution plan filing deadline for these eight firms—the U.S.
G-SIBs—by one year to July 1, 2019.
In March 2017, the agencies jointly announced that they did not find that the resolution plans submitted by
16 domestic non-G-SIBs in December 2015 were not credible or would not facilitate an orderly resolution
under the U.S. Bankruptcy Code. The agencies did identify shortcomings in Northern Trust Corporation’s
resolution plan, which must be satisfactorily addressed in the firm’s 2017 plan. The agencies announced that
for the 15 firms without shortcomings, the expectations for the firms’ 2017 plans would be tailored to reflect
the size and complexity of the firms and as a result, the agencies would limit the amount of information the
firms are required to submit in their plans, due by December 31, 2017.
The agencies also issued joint guidance to four foreign G-SIBs—Barclays PLC, Credit Suisse, Deutsche Bank
AG, and UBS AG. Consistent with the time provided to the largest domestic filers in April 2016, the agencies
provided a one-year extension to these firms—their next resolution plans are now due on July 1, 2018.
In October 2016, the Secretary of the Treasury, as Chairperson of the Council, adopted rules in consultation
with the FDIC to implement the qualified financial contract (QFC) recordkeeping requirements of the DoddFrank Act. The rules require U.S. G-SIBs, nonbank financial companies designated by the Council, and
certain other financial companies to maintain records with respect to QFC positions, counterparties, legal
documentation, and collateral. This information would assist the FDIC in the event of an orderly liquidation
of a financial company under the Dodd-Frank Act.
In 2017, the Federal Reserve, FDIC, and OCC adopted parallel rules that would require, among other things,
certain G-SIBs operating in the U.S. to ensure that their cross-border QFCs limit default rights and transfer
restrictions to the same extent as under the Dodd-Frank Act and the Federal Deposit Insurance Act. In
addition, G-SIBs would be generally prohibited from entering into QFCs that allow for the exercise of crossdefault rights based on the resolution of the G-SIB’s affiliate. Under the rules, G-SIBs may comply with the
rule requirements by using the ISDA Universal Resolution Stay Protocol re-launched in 2015 to amend their
QFCs. The 2015 protocol enables parties to amend the terms of their QFCs to contractually recognize the
cross-border application of special resolution regimes, including the Dodd-Frank Act and Federal Deposit
Insurance Act, and support the resolution of financial companies under the U.S. Bankruptcy Code.

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5.1.4

Volcker Rule

In August 2017, the OCC issued a notice seeking comment on whether certain aspects of the regulations
implementing the Volcker Rule should be revised to better accomplish the purposes of the statute while
decreasing the compliance burden on banking entities and fostering economic growth. The regulations
implementing the Volcker Rule were issued in December 2013 by the Federal Reserve, FDIC, OCC, SEC,
and CFTC and generally prohibit banking entities from (1) engaging in proprietary trading in securities,
derivatives, commodity futures, and options on these instruments for their own account, and (2) owning,
sponsoring, or having certain relationships with hedge funds, private equity funds, and other covered funds.
In addition, in July 2017, the Federal Reserve, FDIC, OCC, SEC, and CFTC announced that they are
coordinating their respective reviews of the treatment of certain foreign funds under the Volcker Rule, and
the banking agencies announced that, in connection with this review, they would not take action under the
Volcker Rule for qualifying foreign excluded funds, subject to certain conditions, for one year.

5.1.5

Insurance

Title V of the Dodd-Frank Act authorizes the Secretary of the Treasury and the U.S. Trade Representative
jointly to negotiate a covered agreement on behalf of the United States. A covered agreement is an
international agreement regarding prudential measures with respect to the business of insurance or
reinsurance that achieves a level of protection for insurance and reinsurance consumers that is substantially
equivalent to the level of protection achieved under state insurance or reinsurance regulation.
In January 2017, the United States and the EU announced their agreement on final text of a covered
agreement (U.S.-EU Covered Agreement). The U.S.-EU Covered Agreement addresses three areas of
insurance and reinsurance prudential measures: (1) group supervision; (2) reinsurance supervision,
including collateral and local presence requirements; and (3) exchange of information between supervisory
authorities.
The U.S.-EU Covered Agreement allows U.S. insurers with EU operations to avoid worldwide group capital,
governance, and reporting requirements under the EU’s “Solvency II” prudential regulatory system for
insurers, as well as EU local presence and collateral requirements for U.S. reinsurers. The agreement builds
on U.S. initiatives underway at the state level and commits the United States to eliminating state-based
reinsurance collateral requirements as applied to liabilities ceded to EU reinsurers that meet the consumer
protection standards specified in the agreement. Collateral elimination for EU reinsurers will apply
prospectively only, on a national basis, and according to the timeline established in the agreement.
On September 22, 2017, the U.S.-EU Covered Agreement was signed by the Secretary of the Treasury and
the U.S. Trade Representative on behalf of the United States, as well as by the Estonian and EU Ambassadors
to the United States on behalf of the EU. In conjunction with signing the agreement, the United States
released a policy statement that provides additional clarity for the domestic insurance sector on certain terms
of the agreement, and addresses how the United States intends to implement the agreement. The policy
statement states that the agreement “affirms the U.S. system of insurance regulation, including the role of
state insurance regulators as the primary supervisors of the business of insurance” in the United States, and
recognizes the key implementation role that state insurance regulators will play in meeting U.S. obligations
under the agreement, including revising relevant state laws concerning credit for reinsurance.

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In December 2016, Treasury issued updated regulations that implement the Terrorism Risk Insurance
Program Reauthorization Act of 2015 (TRIPRA), including requiring all participating insurers to provide
information annually to Treasury about the terrorism risk insurance that they write. In April 2017, Treasury
commenced its first mandatory data collection from participating insurers in Treasury’s Terrorism Risk
Insurance Program (TRIP), pursuant to the requirements of TRIPRA. This information forms the basis for
various reports Treasury issues under TRIPRA. In June 2017, Treasury published a Study of Small Insurer
Competitiveness in the Terrorism Risk Insurance Marketplace, which was based in large part on information
submitted by insurers during the 2017 data call. Among other things, the study found that small insurers
form a significant component of the market for terrorism risk insurance in the United States, particularly in
certain individual lines of insurance subject to TRIP. The study also found that the market share of small
insurers in the lines of insurance subject to TRIP has gradually decreased over time, consistent with their
market share decline in lines of insurance not subject to TRIP.
State insurance regulators, through the NAIC, continue work on updating the NAIC’s insurance financial
solvency framework and refining existing NAIC accounting, actuarial, reporting, valuation, and riskbased capital standards. All 50 states, the District of Columbia, and the Commonwealth of Puerto Rico
have adopted amendments to the Insurance Holding Company System Regulatory Act, including a new
requirement to submit an annual enterprise risk report. In addition, several states have adopted amendments
to their Insurance Holding Company Act statutes to clarify their authorities to act as group-wide supervisor
for certain internationally active insurance groups (IAIGs). States continue to enact new and updated NAIC
model laws related to the Solvency Modernization Initiative, including the Risk Management and Own
Risk and Solvency Assessment Model Act (requiring the ORSA filing), which has been enacted in all but
one state. In addition, 47 states have adopted the revised Standard Valuation Law to implement principlebased reserving (PBR). The three-year implementation period for PBR began January 1, 2017. The NAIC
also continued developing, with Federal Reserve Board consultation, a group capital calculation to provide
a consistent tool for state insurance regulators to use when assessing group capital. Most states, covering
76 percent of direct insurance premiums across all lines of business, have adopted the 2011 revisions to the
NAIC Credit for Reinsurance Model Law and Regulation, which is an accreditation standard effective January
1, 2019. Finally, the NAIC launched the Macro Prudential Initiative to improve the ability of state insurance
regulators and industry to address macro-prudential impacts, focusing on four areas: liquidity, recovery and
resolution, capital stress testing, and exposure concentrations. The liquidity work is currently underway and
includes addressing data gaps for regulators’ existing work in assessing liquidity risk, as well as proposing a
liquidity stress testing framework for larger life insurers.
The states, through the NAIC, have established a more consistent regulatory framework for life insuranceaffiliated captive reinsurance transactions entered into after 2014 relating to certain term and universal life
insurance products. This framework provides for the public disclosure of the reserves and assets related to
those transactions, new risk-based capital requirements and additional disclosure in the annual audit report.
In 2016, state insurance regulators, through the NAIC, adopted the Term and Universal Life Insurance
Reserve Financing Model Regulation, which will codify the framework requirements into state law. After
committing to make changes to the statutory framework for variable annuities to address the incentives
for insurers to use captives for variable annuity transactions, the NAIC is refining proposed changes to the
statutory framework for variable annuities.
State insurance regulators continue to focus on insurer cybersecurity issues. The NAIC adopted
“Principles for Effective Cybersecurity Insurance Regulatory Guidance,” which promote uniform standards,
accountability, and access to necessary information for the protection of consumers. It also adopted an
Insurance Data Security Model Law which establishes standards for data security, investigation, and data
breach notification to insurance regulators. The NAIC reviewed and updated cybersecurity examination
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standards in the NAIC Financial Condition Examiner’s Handbook to incorporate concepts from the NIST
Cybersecurity Framework. The NAIC also established a new Cybersecurity and Identity Theft Insurance
Coverage Supplement to the Property and Casualty Annual Statement to gather information about insurers
selling cybersecurity insurance products and the market for such products. In August 2017, the NAIC
reported on the results of the second annual filing of the supplement, which indicate an overall U.S.
cybersecurity insurance market of $2.49 billion. State insurance regulators collect this data in order to
perform trend analyses on exposures, premium volumes, and claims activity.
FIO, the Federal Reserve, and state insurance regulators along with the NAIC are the U.S.-based members of
the International Association of Insurance Supervisors (IAIS) – the international standard-setting body for
supervision of the insurance sector. The U.S. members of the IAIS participate in a number of initiatives at
the IAIS intended to improve supervisory standards across jurisdictions and enhance financial stability.
On June 16, 2016, the IAIS published revisions to the initial 2013 assessment methodology for identifying
global systemically important insurers. The updated assessment methodology outlines a five-phase process
that relies on fact-based qualitative and quantitative elements. The IAIS modified certain indicators and
incorporated the use of absolute reference values for indicators relating to derivatives trading, financial
guarantees, and reinsurance. In November 2016, the FSB, after consultation with the IAIS and national
authorities, identified a list of nine global systemically important insurers (G-SIIs). The IAIS applied the
updated assessment methodology again in 2017. In November 2017, the FSB stated that it had decided not to
publish a new list of G-SIIs for 2017, and it also encouraged the work of the IAIS to develop an activities-based
approach to systemic risk in the insurance sector.
In February 2017, the IAIS began work to further enhance its systemic risk assessment framework by
developing an activities-based approach to assessing potential systemically risky activities and consideration
of policy measures to address such activities. This work is expected to conclude in 2019, with public
consultations in late 2017 and 2018.
FIO, the Federal Reserve, state insurance regulators, and the NAIC have participated in IAIS committees and
working groups involved in the development of global capital standards that would apply to IAIGs. This work
includes annual iterations of field test exercises that involve the collection and analysis of data from volunteer
IAIGs, including some of the largest U.S.-based insurance groups. In July 2017, that work culminated in
the release of Insurance Capital Standard (ICS) Version 1.0 for extended field testing. In November, the
IAIS announced that it reached an agreement on a path forward for group capital standards in furtherance
of its goal of a single ICS. While the IAIS plans for the ICS to be adopted in late 2019, two other global
capital standards have already been adopted by the IAIS and endorsed by the FSB: a straightforward Basic
Capital Requirement, adopted in 2014, that would apply to all G-SII group activities, including noninsurance
activities; and an initial version of the Higher Loss Absorbency (HLA) requirements for G-SIIs, adopted
in late 2015. It is expected that HLA will be implemented in 2022, and that, by then, ICS will serve as its
foundation.
Based on feedback from the public consultations released in March 2017, the IAIS further refined
numerous Insurance Core Principles covering issues such as governance, supervisory measures, supervisory
coordination, resolution, and material relating to the Common Framework for the Supervision of
Internationally Active Insurance Groups (ComFrame). While the Insurance Core Principles relate to all
insurers within a jurisdiction, ComFrame includes guidance and standards specific to IAIGs.

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FIO also chairs the IAIS Financial Crime Task Force (FCTF), and both the Federal Reserve and the NAIC are
members of the FCTF. During 2016, the FCTF developed and the IAIS published a paper on cyber risk to the
insurance sector addressing supervisory issues and challenges related to cyber threats.

5.2

Financial Infrastructure, Markets, and Oversight

5.2.1

Over-the-Counter Derivatives

The SEC, the CFTC, and the federal banking agencies continue to implement Title VII of the Dodd-Frank
Act, which establishes a comprehensive regulatory framework for swaps and security-based swaps. In addition
to the developments below, in 2017, the CFTC initiated “Project KISS,” an agency-wide review of CFTC rules,
regulations, and practices with the aim of making them simpler, less burdensome, and less costly. The CFTC
solicited and received recommendations from the public as part of this review.

Security-Based Swaps
In July 2016, the SEC adopted amendments to Regulation SBSR designed to increase transparency in the
security-based swap market. The amendments require a national securities exchange or security-based
swap execution facility to report a security-based swap executed on such platform that will be submitted to
clearing. The amendments also require a registered clearing agency to report any security-based swap to
which it is a direct counterparty, as well as whether the clearing agency has accepted a security-based swap
for clearing. The amendment prohibits a registered SBSDR from imposing fees or usage restrictions on the
security-based swap transaction data that it is required to publicly disseminate under Regulation SBSR. The
SEC also adopted amendments extending Regulation SBSR’s regulatory reporting and public dissemination
requirements to additional types of cross-border security-based swaps. In addition, the SEC offered guidance
regarding the application of Regulation SBSR to security-based swaps resulting from prime brokerage
arrangements and from the allocation of cleared security-based swaps.

Capital Requirements for Swap Dealers and Major Swap Participants
In December 2016, the CFTC proposed rules to establish minimum capital requirements for swap dealers
and major swap participants that are not subject to the capital rules of a prudential regulator. The proposed
rules generally permit the application of alternative approaches based upon existing U.S. bank regulators’
capital requirements or the CFTC’s FCM requirements and the SEC’s broker-dealer net liquid asset capital
requirements. The proposal further provides that those swap dealers predominantly engaged in nonfinancial activities, as well as major swap participants, may elect minimum capital requirements based
upon the firms’ tangible net worth. Also, swap dealers may use internal models for purposes of computing
their regulatory capital, subject to prior approval by either the CFTC or the National Futures Association.
The rules would also require certain swap dealers and major swap participants to satisfy defined liquidity
requirements.

Position Limits
Also in December 2016, the CFTC updated its proposal for rules limiting speculative positions in 25 core
physical commodity futures contracts and their “economically equivalent” futures, options, and swaps. The
re-proposed rule generally sets non-spot month speculative position limits at 10 percent of the open interest
for the first 25,000 contracts and 2.5 percent of the open interest thereafter. Spot-month position limit levels
are set at the lower of 25 percent of deliverable supply or the level set by a designated contract market (DCM).
The proposed rules also include exemptions for bona fide hedging positions in physical commodities and
their economically equivalent futures, and define requirements and acceptable practices for DCMs and SEFs

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for setting position limits for the 25 referenced contracts. These acceptable practices include processes for
DCMs and SEFs recognizing non-enumerated bona fide hedging positions, certain enumerated anticipatory
hedge positions, and granting of spread exemptions.

5.2.2

CCPs

In September 2016, the SEC issued a final rule to establish enhanced requirements for the operation and
governance of registered clearing agencies that meet the definition of a “covered clearing agency.” A covered
clearing agency includes a registered clearing agency that (i) has been designated as systemically important
by the Council and for which the SEC is the supervisory agency or (ii) provides CCP services for securitybased swaps or is involved in activities the SEC determines to have a more complex risk profile, unless the
CFTC is the clearing agency’s supervisory agency. The new rule is consistent with relevant international
standards, such as the Principles for Financial Market Infrastructures (PFMI). Securities clearing agencies
covered by the new rule will be subject to new requirements regarding, among other things, their financial
risk management, governance, recovery planning, operations, and disclosures to market participants and the
public.
In October 2016, the CFTC expanded the existing clearing requirement for interest rate swaps. The DoddFrank Act amended the Commodity Exchange Act to prevent market participants from entering into a swap
that the CFTC has required to be cleared unless that market participant submits the swap for clearing. The
CFTC’s determination requires that swaps denominated in certain currencies and having certain termination
dates be submitted for clearing.
In addition, in July 2016, CFTC staff issued, via a staff letter, guidance to CCPs related to further development
of recovery and wind-down plans, setting forth questions that CCPs should consider in evaluating whether
particular tools should be included in their plans and in designing proposed rule changes to support the
inclusion of particular tools in their plans.
To promote interagency engagement on potential risks associated with CCPs and potential policy responses,
the Council’s interagency staff-level working groups have held several targeted sessions covering CCP default
and liquidity risk management, risk management governance, bank-CCP interactions, and clearable products.
Staff continue to review CCP risk management and the interconnections between CCPs and their clearing
members and the broader financial system.
Throughout 2016, the Basel Committee on Banking Supervision, CPMI-IOSCO, and the FSB continued to
make progress on their joint work plan to address CCP resilience, recovery, and resolution as requested by
the G-20 in 2015. In August 2016, CPMI-IOSCO published a report on the assessment of selected CCPs’
implementation of certain principles in the PFMI, finding that these CCPs have generally made meaningful
progress in implementing arrangements consistent with the financial risk management and recovery
standards of the PFMI. Some gaps and shortcomings were also identified in the areas of recovery planning
and credit and liquidity risk management.
In August 2016, the FSB published a discussion note on CCP resolution and resolution planning, which
sought public comment on core aspects of effective CCP resolution strategies. In July 2017 the FSB published
guidance for CCP resolution and resolution planning for authorities to consider when developing resolution
strategies and plans for CCPs. The guidance takes into account the comments received on the FSB’s
discussion note published in August 2016 and the consultative document published in February 2017.

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Box D: Stress Testing of Derivatives Central Counterparties

Since the introduction of mandatory central clearing
for standardized OTC derivatives in 2010, the
importance of CCPs to the financial system has
increased significantly. Accordingly, regulators
have focused on ensuring that CCPs are resilient
in the event of highly stressful market conditions.
A critical component of evaluating and improving
CCP resilience is stress testing. Stress testing
involves estimating potential losses under a variety of
extreme but plausible market conditions, which helps
firms and regulators determine whether CCPs are
maintaining sufficient financial resources to withstand
stress events. A stress test may be performed by a
CCP (internal) or by a regulator (supervisory).

Domestic Developments
In November 2016, CFTC staff published a report
on its first supervisory stress tests of the five largest
CCPs registered with the CFTC and their largest
clearing members. The stress tests focused only on
credit risk and applied a one-day shock to estimate
losses. For the specific scenarios tested, the CCPs
had sufficient pre-funded financial resources to
cover defaults by at least the two clearing members
(including affiliates) with the largest margin shortfalls.
For almost two thirds of the stress tests, the CCPs
had sufficient financial resources to cover defaults by
every clearing member in the exercise that incurred a
loss.

In the context of derivatives CCPs, a stress test
addressing credit risk estimates the potential losses
for a house or customer account based on actual
positions in such accounts and hypothetical price
changes to those positions. These positions may
be in exchange-traded derivatives (futures or listed
options) or OTC derivatives (swaps). Among other
potential scenarios, a stress test may use a price
change that actually occurred on a particular date
(e.g., Black Monday in 1987 or the collapse of
Lehman Brothers in 2008) or may use a price change
based on a number of standard deviations calculated
using historical data. If a stress test identifies a
potential shortfall, then it may be necessary for a
clearing member to reduce its positions or for a CCP
to increase its financial resources. In addition to
credit risk, stress tests may also address a variety
of other risks that CCPs face, such as liquidity,
operational, and cybersecurity risks.

In October 2017, CFTC staff published a report
detailing the results of an evaluation of settlement
liquidity at three CCPs registered with the CFTC that
clear futures, options, and interest rate swaps. The
purpose of the analysis was to assess the impact
of a hypothetical extreme but plausible market
scenario on the ability of the three CCPs to meet their
settlement obligations on time. The report contained
three key findings. First, all three CCPs demonstrated
the ability to generate sufficient liquidity to fulfill
settlement obligations on time. Second, the CCPs
generated funds in a number of ways, including: (i)
using cash received from maturing reverse-repos;
(ii) selling collateral; (iii) accessing cash balances at a
commercial bank; (iv) accessing cash balances at a
central bank; (v) converting one currency to another;
and (vi) entering into repos. Third, in instances in
which multiple CCPs used the same methodology
or the same firm to meet liquidity demands, staff
concluded that the cumulative size of liquidity
requirements in this scenario would not impair the
ability of each CCP to meet its settlement obligations.

There have been a number of notable recent
domestic and international developments regarding
CCP stress testing.

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International Developments
In April 2016, the European Securities and Markets
Authority (ESMA) published a report describing stress
tests of 17 CCPs based in the EU—the first EU-wide
supervisory CCP stress tests. Like those conducted
by CFTC staff, ESMA’s stress tests addressed credit
risk. The stress tests found that the CCPs’ resources
were sufficient to cover losses resulting from the
default of the top two EU-wide clearing member
groups but faced small amounts of total residual
uncovered losses in certain more severe scenarios.
ESMA has also published a framework for its planned
2017 EU CCP stress tests, which will, for the first time,
incorporate liquidity stresses.
In July 2017, CPMI-IOSCO published a report on
resilience of CCPs, which included guidance on
CCPs’ internal stress tests with respect to their own
credit and liquidity risks. Additionally, in June 2017,
CPMI-IOSCO published a consultative framework
for supervisory stress testing of CCPs. The draft
framework is designed to support supervisory
stress tests conducted by one or more authorities
that examine the potential macro-level impact of a
common stress event affecting multiple CCPs.

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5.2.3

Asset Management

In October 2016, the SEC adopted a final rule designed to promote effective liquidity risk management
throughout the open-end investment company industry, reducing the risk that funds will be unable to meet
their redemption obligations and to mitigate potential dilution of the interests of fund shareholders. Under
the new rule, registered open-end management investment companies other than MMFs must establish
liquidity risk management programs. A fund’s liquidity risk management program generally would include
classification of all assets into four liquidity categories and setting a fund-specific minimum requirement
for highly-liquid investments. ETFs that redeem in kind would be subject to a tailored liquidity risk
management program that manages their liquidity risk without including all of the elements of the program
applicable to other funds. A fund will also be required to confidentially notify the SEC when the fund’s
level of illiquid investments exceeds 15 percent of its net assets or when highly liquid investments fall below
the fund’s minimum for more than a brief period of time. In addition, the SEC adopted new requirements
to modernize and enhance the reporting and disclosure of information regarding fund liquidity and
redemption practices by open-end funds. For a further discussion of the amendments to reporting
requirements, refer to Section 5.4.1.
Also in October 2016, the SEC issued a rule permitting registered open-end management investment
companies, except MMFs and ETFs, to use swing pricing under certain circumstances. Swing pricing is the
process of adjusting the fund’s NAV per share to effectively allocate the costs stemming from shareholder
purchase or redemption activity to the shareholders associated with that activity.

Money Market Mutual Fund Reforms
The SEC adopted MMF reforms in July 2014 that established a floating NAV for institutional prime and taxexempt MMFs and required that MMF boards have the ability to impose liquidity fees and redemption gates
for institutional prime and tax exempt MMFs and for retail MMFs in certain circumstances. The use of fees
and gates is optional for government MMFs. The compliance date for these reforms was October 2016. See
Section 4.13.1 and Box C for a discussion of the transition in the MMF industry.

5.2.4

Operational Risks for Technological Systems and Cybersecurity

In September 2016, the CFTC adopted amendments to its system safeguards testing rules for DCMs, SEFs,
SDRs, and, in a separate rule, for derivatives clearing organizations (DCOs). The amendments specify and
define the types of cybersecurity testing essential to fulfilling system safeguards testing obligations, including
vulnerability testing, penetration testing, controls testing, security incident response plan testing, and
enterprise technology risk assessment, and clarify a number of other rule provisions. The amendments also
add new provisions applicable to covered DCMs and all SDRs instituting minimum frequency requirements
for conducting the essential types of cybersecurity testing and requirements for performance of certain tests
by independent contractors.
In October 2016, the FDIC, OCC, and Federal Reserve jointly released an advance notice of proposed
rulemaking for enhanced cyber risk management standards for large interconnected entities under their
supervision and those entities’ service providers. The notice addresses five categories of cyber standards:
cyber risk governance; cyber risk management; internal dependency management; external dependency
management; and incident response, cyber resilience, and situational awareness. The notice discusses
implementing the enhanced standards in a tiered manner, imposing more stringent standards on the systems
of those entities that are critical to the functioning of the financial sector.

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In November 2016, the CFTC published a supplemental notice of proposed rulemaking for its proposed
Regulation AT, a series of risk controls, transparency measures, and other safeguards to enhance the
safeguards for automated trading on U.S. DCMs. The supplemental proposal simplified the risk control
framework originally proposed by concentrating pre-trade risk controls at a minimum of two levels instead
of three. It also narrowed the set of participants who would be considered AT Persons subject to, among
other things, the proposed risk control requirements by adding a minimum trading volume test. Finally, the
proposal updated the means by which the CFTC would access the algorithmic trading source code.
The Federal Financial Institutions Examination Council (FFIEC), on behalf of its members, also published
updated booklets within the FFIEC IT Examination Handbook. Revisions to the Information Security
Booklet included an update of factors necessary to assess the level of security risk to a financial institution’s
information systems and an incorporation of cybersecurity concepts such as threats, controls, and resource
requirements for preparedness. Another revision added an Appendix E to the Retail Payment Systems
booklet, covering the risks associated with mobile financial services.

5.2.5

Accounting Standards

In June 2016, the Financial Accounting Standards Board issued an Accounting Standards Update on
the measurement of credit losses for financial instruments. The new standard replaces the incurred loss
impairment methodology in current U.S. Generally Accepted Accounting Principles with a current expected
credit losses (CECL) methodology that reflects lifetime expected credit losses. Under CECL, collection
expectations are updated at each reporting period such that the net amount recognized on the balance
sheet represents the amount expected to be collected. CECL applies to all financial instruments carried at
amortized cost (e.g., loans held for investment and held-to-maturity securities). The standard also requires
consideration of a broader range of supportable information to determine credit loss estimates. The
measurement of expected credit losses had been based on relevant information about past events and current
conditions. The new measurement will now include reasonable and supportable forecasts that affect the
collectability of the reported amount.
In addition, for purchased loans that have a more than insignificant amount of credit deterioration since
origination, the purchasers must estimate and record an allowance for credit losses at the time of purchase.
An allowance will now also need to be considered for available-for-sale debt securities if the fair value is
below the amortized cost of the security. The new standard becomes effective for fiscal years beginning
after December 15, 2019 for SEC filers and after December 15, 2020 for all other entities, with early adoption
permitted in fiscal years beginning after December 15, 2018.

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5.3

Mortgages and Consumer Protection

5.3.1

Mortgages

In October 2016, the CFPB published a final rule clarifying, revising, and amending provisions of
its mortgage servicing rules regarding force-placed insurance notices, policies and procedures, early
intervention, and loss mitigation requirements under Regulation X’s servicing provisions and prompt
crediting and periodic statement requirements under Regulation Z’s servicing provisions. The rule also
addresses proper compliance regarding certain servicing requirements when a person is a potential or
confirmed successor in interest, is a debtor in bankruptcy, or sends a cease communication request under the
Fair Debt Collection Practices Act.

5.3.2

Consumer Protection

In November 2016, the CFPB published a final rule implementing certain consumer protections for prepaid
accounts under Regulation E and Regulation Z. The final rule modifies general Regulation E requirements
to create tailored provisions governing disclosures, limited liability and error resolution, and periodic
statements for prepaid accounts, and adds new requirements regarding the posting of account agreements.
Additionally, the final rule regulates overdraft credit features that may be offered in conjunction with prepaid
accounts. Subject to certain exceptions, such credit features will be covered under Regulation Z when the
credit feature is offered by the prepaid account issuer, its affiliate, or its business partner and credit can be
accessed in the course of a transaction conducted with a prepaid card.
In April 2016, the Department of Labor published a final rule that broadens the scope of who is determined
to be a “fiduciary” under the Employee Retirement Income Security Act of 1974 as a result of giving
investment advice to a plan or its participants or beneficiaries. The rule also applies to the definition of a
“fiduciary” of a plan (including an IRA) under the Internal Revenue Code of 1986. The rule treats persons
who provide investment advice or recommendations for a fee or other compensation with respect to assets of
a plan or IRA as fiduciaries in a wider array of advice relationships. The Department of Labor is currently reexamining the rule pursuant to a presidential memorandum issued in February 2017.
In July 2017, the CFPB published a rule prohibiting banks and other covered providers of certain consumer
financial products and services from using an agreement with a consumer that provides for arbitration of
any future dispute between the parties to bar the consumer from filing or participating in a class action
concerning the consumer financial product or service. In addition, the rule requires providers that are
involved in an arbitration pursuant to a pre-dispute arbitration agreement to submit arbitral and court
records to the CFPB. In October 2017, Congress passed a joint resolution pursuant to the Congressional
Review Act nullifying the rule.
In October 2017, the CFPB adopted a rule addressing payday lending practices. Among other things, the rule
identifies it as an unfair and abusive practice for a lender to make covered short-term or longer-term balloonpayment loans, including payday and vehicle title loans, without reasonably determining that consumers
have the ability to repay the loans according to their terms. In addition, for these and certain other highcost longer-term loans, the rule identifies it as an unfair and abusive practice to make attempts to withdraw
payment from consumers’ accounts after two consecutive payment attempts have failed, unless the consumer
provides a new and specific authorization to do so. Following the CFPB’s rulemaking, the OCC rescinded its
guidance regarding safe and sound banking practices and consumer protection in connection with deposit
advance products, which are small-dollar, short-term loans made by a bank that are to be repaid by the
customer from that customer’s next recurring direct deposit into his or her account.

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5.4

Data Scope, Quality, and Accessibility

Assessing and monitoring risks to financial stability requires financial data that are of high quality and fit
for analytical purpose. Further, these data must be accessible to stakeholders in a timely manner to both
monitor risks and produce analyses as input to develop informed policy responses. The demands on data for
systemic risk analysis can be viewed in terms of three attributes of data: scope, quality, and accessibility.

5.4.1

Data Scope

Data scope refers to the comprehensiveness and granularity of the data available for regulators and financial
market participants to support analysis of threats to financial stability and private sector risk management.
Since the crisis, regulators have gained greater visibility into previously opaque areas through new data
collections, such as those on hedge fund and MMF activities. However, data gaps remain in some markets.
Financial innovation results in new markets and products, requiring financial regulators to seek new data.
The pursuit of new data should be with an eye towards improving reporting efficiency, leveraging existing
collections, and utilizing industry utilities and new data technology.

Securities Financing Data Collection
To fill data gaps in securities financing, and in response to earlier Council encouragement, the OFR is in the
process of developing a rule to collect data on repo and certain securities lending transactions. The planned
collection is informed by a pilot collection that was undertaken by the OFR, the Federal Reserve, and the
SEC in 2015. The data can be used to conduct research, engage in ongoing monitoring, and to facilitate
appropriate and secure sharing of the data among Council member agencies.

SEC Asset Management Rules
The SEC issued final rules in October 2016 to enhance data reporting for mutual funds and other registered
investment companies, significantly improving information available to investors and the SEC. Under the
rules, the SEC’s current reporting Forms N-Q and N-SAR, which are required to be filed semi-annually, will
be replaced by new monthly reporting on Form N-PORT and annual reporting on Form N-CEN; the SEC
also introduced a new form called Form N-LIQUID. Form N-PORT will collect information on a fund’s
investments, such as the terms of derivatives contracts; information regarding portfolio characteristics,
such as information on assets and liabilities, repo agreements, securities on loan and reinvestment of cash
collateral from securities on loan; and certain portfolio-level risk measures. Form N-CEN will collect
census-type information for registered investment companies, such as arrangements with third-party service
providers and information regarding securities lending activities and ETFs. Form N-LIQUID will require a
fund to confidentially notify the SEC when the fund’s level of illiquid investment holdings exceed 15 percent
of its net assets or when its highly liquid investment holdings fall below its minimum for more than a specified
period of time. For a further discussion on the fund liquidity risk management requirements, refer to
Section 5.2.3.
The SEC also issued a final rule in August 2016 to enhance reporting on separately managed accounts
managed by registered investment advisers and to collect information about other aspects of registered
investment advisers’ advisory business, including branch office operations and the use of social media.

Consolidated Audit Trail
In November 2016, the SEC approved a National Market System (NMS) plan to create a single, comprehensive
database—a consolidated audit trail (CAT)—that would enable regulators to more efficiently and accurately
track trading in equity and option securities throughout U.S. markets. SEC Rule 613 required the selfregulatory organizations (SROs) to jointly submit a plan to create, implement, and maintain a CAT. The
approved plan provides for construction of a central repository by a plan processor. The central repository
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would receive, consolidate, and retain trade and order data reported as part of the CAT. CAT data would be
available to SROs and the SEC for regulatory purposes, such as reconstructing market events and monitoring
market behavior to identify and investigate misconduct. Market event reconstructions made possible by the
CAT also will contribute to the SEC and SROs’ understanding of and ability to respond to future market
disruptions.

Central Counterparties
Following post-crisis international efforts, regulators are working to shift the standardized portion of the
bilateral derivatives market to CCPs. CCPs promote greater transparency and product standardization
and reduce counterparty risk, thus reducing some of the risks to financial stability from bilateral trading.
However, central clearing creates new forms of interconnections between the clearing members of CCPs.
In 2016, many CCPs began publicly disclosing risk-related quantitative information as a result of the CPMIIOSCO developed quantitative disclosure standards for CCPs. These disclosures have enabled participants
and observers to better evaluate and assess the risks of CCPs in a consistent fashion. Examples of the types
of information that CCPs have made public through their disclosures relate to: credit risks, default resources,
collateral quality, aggregate margin data, default rules and procedures, market volumes/values data,
operational risk management, and liquidity risk management. Although these quantitative disclosures allow
market participants to assess the risk in CCPs, additional disclosures and disclosure standardization may
provide greater transparency.

5.4.2

Data Quality

Data quality refers to the completeness, accuracy, and timeliness of data. Better data quality for financial
stability analysis and risk management can be achieved through utilizing data standards, providing a
common reference for industry data, and establishing operational excellence in data management for both
regulators and the private sector.

Legal Entity Identifier
The LEI is a globally recognized, unique, 20-digit, alphanumeric code assigned to a legal entity that registers
to receive it. Assigned LEIs are intended to enable the precise identification of counterparties. The LEI
will be increasingly valuable as use and experience grows and as the LEI system continues to gather and
assimilate “Level 2” information submissions about the direct and ultimate parents of each entity with an LEI.
The LEI system began collecting Level 2 information in May 2017 as entities choose to register for or renew
their LEIs, a process that will continue over the succeeding months. Level 2 data includes only hierarchy data
that is publicly available in cases where the respective parent has its own LEI. With these hierarchy data, the
LEI system will provide an additional tool for understanding the complex structures of large companies.

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With regard to financial entities supervised by the U.S. banking agencies, the Federal Reserve’s National
Information Center already makes available both rich and complete hierarchy data as well as extensive entity
reference data, including LEIs for those supervised entities that have registered.
As of December 4, 2017, more than 800,000 LEIs have been issued by 30 operational issuers that have been
approved to issue LEIs. Approximately 40 percent of these have been issued in the United States, and
approximately 18 percent have been issued to U.S.-based entities. The cost to obtain an LEI has dropped
significantly following the entry of a new authorized issuer in the United States, creating more competition
on price. The total number of LEIs issued represents a 97 percent increase from year-end 2015. The increase
has been largely driven by the use of the LEI in derivatives reporting, and in anticipation of new mandatory
LEI reporting in Europe under the revised Markets in Financial Instruments Directive (or MiFID II), which
is set to become effective in January 2018. In markets where the use of the LEI is not mandated, issuance has
been uneven. Also, some 21 percent of the entities that have obtained LEIs are behind schedule with regard
to the annual renewal and verification of their LEI reference data, although not every regulation explicitly
requires entities to renew their LEIs if no changes have occurred to their LEI reference data. While this
proportion has been reduced over time, Council member agencies and other global financial regulators
continue to participate in joint efforts to increase the quality of LEI reference data.

Reporting of Derivatives Data
Promoting transparency in derivatives markets continues to be a major priority for global regulators.
Representatives from the CFTC, OFR, SEC, and Federal Reserve continued to contribute to the
global harmonization of OTC derivatives data. This work is taking place through a working group for
harmonization of key OTC derivatives data elements (Harmonization Group), under the auspices of the
CPMI-IOSCO. This cross-jurisdictional initiative will facilitate global aggregation of these data and reduce
complexity for firms reporting to multiple trade repositories or authorities.
The Harmonization Group has already issued final technical guidance on the Unique Transaction Identifier
and Unique Product Identifier, along with consultation documents on three sets of prioritized Critical Data
Elements for global harmonization. The Unique Product Identifier and Unique Transaction Identifier are
being designed to respectively identify each OTC derivatives product and each transaction involving an OTC
derivatives product, which is reported to a trade repository.
Critical to these efforts is the development of governance systems to ensure the quality of reported derivatives
data (e.g., that duplicate identification numbers are not issued and that derivatives products and transactions
are correctly categorized). In 2016, the FSB established the Working Group on Unique Transaction Identifier
and Unique Product Identifier Governance. Several Council member agencies have been participating
in the working group, which is expected to provide recommendations to the FSB on the necessary
governance functions and key criteria definitions for the Unique Transaction Identifier and Unique Product
Identifier. All of this work has involved soliciting input from the public and industry before developing
recommendations. To this end, in March 2017, the FSB issued a consultative report on Unique Transaction
Identifier governance for public comments.

Mortgage Data Standards
Revisions to Regulation C, which implements the HMDA, were finalized in October 2015. Covered financial
institutions will begin collecting the revised data in 2018 and will first report the data to the appropriate

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federal agency in 2019. The ULI will be included in the new HMDA collection, as will the LEI. The new
report will also include risk-related loan characteristics, including credit score, interest rate, property value,
and discount points paid to reduce the interest rate. Most covered financial institutions will be required to
report data on all closed-end, dwelling-secured, consumer-purpose mortgages and some covered financial
institutions will also be required to report data on open-end, dwelling-secured, lines of credit. Currently,
only closed-end home purchase loans, home improvement loans, and refinancings are reported. HELOCs
are currently voluntarily reported.
Additionally, the Mortgage Industry Standards Maintenance Organization (MISMO) is in the process of
developing data structures to assist with mortgage servicing transfers. The new capabilities will standardize
the format of the data and establish requirements for completeness.
The Council recommended in its 2016 annual report that member agencies update their regulatory mortgage
data collections to include ULI and LEI fields, so that these fields are paired with loan records through a
loan’s lifecycle. In 2016, the GSEs issued a draft uniform residential loan application form with a field for
the new ULI. In 2017, the GSEs announced that they would begin collecting the ULI for all applicable loans
at delivery. In anticipation of the new HMDA collection, MISMO has produced a technical document to
aid HMDA reporters with production and transfer of the ULI. The addition of the ULI and LEI fields will
improve market traceability and transparency for mortgages.
In licensing and supervising mortgage loan originators, state regulators regularly collect mortgage data
through the Nationwide Multi-state Licensing System (NMLS). In 2011, the Conference of State Bank
Supervisors (CSBS), in conjunction with the American Association of Residential Mortgage Regulators,
launched the NMLS Mortgage Call Report in accordance with the Secure and Fair Enforcement of Mortgage
Licensing Act of 2008. The launch of the Mortgage Call Report marked the first standardized data collection
for the state-licensed residential mortgage industry. The NMLS Mortgage Call Report enables state mortgage
regulators to effectively monitor both licensees and mortgage activities by providing timely, comprehensive,
and uniform information on the non-depository mortgage industry. In 2016, the Mortgage Call Report
was updated to gather more information on loans not subject to qualified mortgage standards, collect data
pertaining to mortgage servicing, establish requirements for completeness, and improve overall usability.
Additionally, the State Regulatory Registry, the operator of NMLS, has entered into information sharing
agreements on behalf of state regulators to enable the sharing of mortgage data with OFR, CFPB, and the
FHA.

5.4.3

Data Accessibility

The global financial crisis of 2007-09 reinforced the importance and value of sharing financial data for risk
management and policy making. The multi-agency nature of the regulatory environment makes sharing data
collected by financial regulators essential to view the broad risks across the financial system. Better technical
infrastructure, appropriate agreements, and established frameworks can enhance regulatory sharing (as
permitted under statutory authority), while ensuring security and confidentiality of financial data. With such
infrastructure, regulators can more quickly assess and address underlying risks that continue to persist. For
example, such infrastructure could facilitate collaboration among multiple regulators seeking to understand
the relevant factors at play in events such as the October 2014 surge in volatility in the U.S. Treasury market.

Fostering Improved Data Sharing
There have been multiple efforts to improve data sharing across agencies. An interagency workshop was held
in 2016 with a focus on improving data sharing. An interagency staff-level working group was created to use
and share existing regulatory data to analyze hedge funds and potential financial stability implications. For
further information on this interagency effort, see Section 5.5.3. In 2016, the SEC adopted rules to provide
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authorities with conditional access to data held by SBSDRs. The OFR has also has begun work to accomplish
several objectives to better foster sharing of financial data amongst regulators. In addition, in January
2017, the CFTC issued a proposed rule to amend Part 49 requirements to establish procedures governing
access to SDR data by certain foreign and domestic authorities as required by the Fixing America’s Surface
Transportation Act.

Metadata Catalog
The OFR is enhancing its own catalog of metadata—descriptive data about the financial data the OFR
stores securely—with the goal of linking portions of it with external counterparts. Through these linkages,
this platform will enable users to find those relevant financial data for risk management and financial
stability analysis via a centralized portal, and to facilitate access to the desired data with its custodian.
Initially, the Metadata Catalog will be for OFR use, and subsequently will be opened for regulators to use at
their discretion. Over the longer term, the goal is to make this resource available to the public and other
stakeholders. The centralized portal could enhance regulators’ ability to locate and access data needed for
risk management and financial analysis.

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5.5

Council Activities

5.5.1

Risk Monitoring and Regulatory Coordination

The Dodd-Frank Act charges the Council with responsibility to identify risks to U.S. financial stability,
promote market discipline, and respond to emerging threats to the stability of the U.S. financial system.
The Council also has a duty to facilitate coordination among member agencies and other federal and state
agencies regarding financial services policy and other developments. The Council regularly examines
significant market developments and structural issues within the financial system. This risk monitoring
process is facilitated by the Council’s Systemic Risk Committee (SRC), which is composed primarily of
member agency staff in supervisory, monitoring, examination, and policy roles. The SRC serves as a forum
for member agency staff to identify and analyze potential risks which may extend beyond the jurisdiction
of any one agency. The Council’s Regulation and Resolution Committee (RRC) supports the Council in its
duties to identify potential gaps in regulation that could pose risks to U.S. financial stability. The RRC meets
regularly to discuss regulatory developments at the Council’s member agencies.

5.5.2

Determinations Regarding Nonbank Financial Companies

One of the Council’s statutory authorities is to subject a nonbank financial company to supervision by the
Federal Reserve and enhanced prudential standards if the company’s material financial distress—or the
nature, scope, size, scale, concentration, interconnectedness, or mix of its activities—could pose a threat to
U.S. financial stability. The Council’s authority to make these determinations is an important tool to help
mitigate potential threats posed by these companies to U.S. financial stability. The Dodd-Frank Act sets forth
the standard for the Council’s determinations regarding nonbank financial companies and requires the
Council to take into account 10 specific considerations when evaluating those companies.
Under Section 113 of the Dodd-Frank Act, the Council is required at least annually to reevaluate each
previous determination and rescind any determination if the company no longer meets the statutory
standards. The Council’s supplemental procedures with respect to nonbank financial company
determinations provide the public with additional information regarding the process for the Council’s
annual reevaluations of determinations.
In June 2016, the Council rescinded its determination regarding GE Capital. The Council designated GE
Capital in July 2013. Since the Council’s determination, the company executed significant divestitures,
transformed its funding model, and implemented a corporate reorganization. As a result, the Council
determined that GE Capital was a much less significant participant in U.S. financial markets and the
economy. As detailed further in its public explanation of its decision, the Council concluded that these and
other changes at GE Capital since the Council’s determinations significantly reduced the potential for GE
Capital’s material financial distress to threaten U.S. financial stability.
In September 2017, the Council rescinded its determination regarding AIG. The Council designated AIG in
July 2013. Since the Council’s determination, both direct and indirect capital markets exposures to AIG have
decreased substantially and the company has, through divestures, exited certain important markets. Further,
additional analyses conducted during the last annual reevaluation indicated that there is not a significant risk
that a forced asset liquidation by AIG would disrupt market functioning. As detailed further in the public
basis for its decision, these reasons and others led the Council to rescind its determination that material
financial distress at AIG could pose a threat to U.S. financial stability.
As of the date of this report, one nonbank financial company is subject to a final determination by the
Council, and since 2010 the Council has voted not to advance five nonbank financial companies to Stage
3 of the Council’s three-stage process for evaluating nonbank financial companies. Since the Council’s
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last annual report, the Council has not advanced any nonbank financial companies to Stage 3 or made a
proposed or final determination regarding any nonbank financial company.

5.5.3

Asset Management Analysis

Building on work begun in 2014, the Council continued to assess the potential for financial stability risks
to arise from certain asset management products and activities, particularly in the areas of liquidity and
redemption, leverage, operational functions, securities lending, and resolvability and transition planning.
In April 2016, based on this work, the Council issued a public update of its analysis, focusing primarily on
liquidity and redemption risk, and the use of leverage.
The Council’s discussion of liquidity and redemption risks explored the potential mismatch between investor
redemption rights and underlying asset liquidity for pooled investment vehicles. The Council update
suggested the following for consideration by the SEC: (1) robust liquidity management practices for mutual
funds, particularly those that invest in less-liquid assets; (2) clear regulatory guidelines regarding mutual
funds’ holdings of potentially illiquid assets; (3) enhanced reporting and disclosure by mutual funds of their
liquidity profiles, risk management practices, and external sources of financing; and, (4) the use of tools for
allocating the costs of redemptions directly to investors who redeem shares.
With respect to the use of leverage in investment vehicles, the Council update noted that leverage can be a
useful component of an investment strategy, and its use can allow managers to either hedge risk or increase
exposures depending on the activities and strategies of the vehicle. The Council’s analysis focused on the
potential vulnerability of assets purchased with borrowed short-term funds to selling pressures in stress
conditions, as well as on the exposures and interconnections to other market participants created by leverage.
The Council update noted that existing SEC guidance limited the ability of registered funds to obtain
leverage through repos and certain other financing transactions, and also acknowledged the proposed rule
issued by the SEC in December 2015 intended to limit leverage obtained through the use of derivatives.
With respect to hedge funds, the Council created a staff-level interagency working group and charged it with:
(i) using regulatory and supervisory data to evaluate the use of leverage, in combination with other factors,
for purposes of assessing potential risks to financial stability; (ii) assessing the sufficiency and accuracy of
existing data and information; and (iii) considering potential enhancements to current measurements of
leverage, including risk-based measures.
The hedge fund working group provided an update on its work to the Council at the Council’s November
2016 meeting. The working group’s analysis of position-level data for interest rate derivatives, provided by
the CFTC, showed that positions held by a relatively small group of funds constituted a meaningful share of
certain key markets, relative to both market size and trading volume. However, the working group generally
found existing sources of data to be insufficient for regulators to assess fully the extent of the risks, and
therefore made a number of recommendations regarding potential data enhancements.

5.5.4

Operations of the Council

The Dodd-Frank Act requires the Council to convene no less than quarterly. The Council held nine meetings
in 2016 and has held eight meetings in 2017, including at least one each quarter. The meetings bring Council

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members together to discuss and analyze market developments, potential threats to financial stability, and
financial regulatory issues. Although the Council’s work frequently involves confidential supervisory and
sensitive information, the Council is committed to conducting its business as openly and transparently
as practicable. Consistent with the Council’s transparency policy, the Council opens its meetings to the
public whenever possible. The Council held a public session at three of its meetings in 2016 and at two of its
meetings in 2017. Approximately every two weeks, the Council’s Deputies Committee, which is composed of
senior representatives of Council members, convenes to discuss the Council’s agenda and to coordinate and
oversee the work of the Council’s five other committees. The other committees are the Data Committee;
the Financial Market Utilities and Payment, Clearing, and Settlement Activities Committee; the Nonbank
Financial Companies Designations Committee; the Regulation and Resolution Committee; and the Systemic
Risk Committee. The Council adopted its seventh budget in 2016 and its eighth budget in 2017.

5.5.5

Section 119 of the Dodd-Frank Act

Section 119 of the Dodd-Frank Act provides that the Council may issue non-binding recommendations to
member agencies on disputes about the agencies’ respective jurisdiction over a particular BHC, nonbank
financial company, or financial activity or product. (Certain consumer protection matters, for which another
dispute mechanism is provided under Title X of the Act, are excluded.) To date, no member agency has
approached the Council to resolve a dispute under Section 119.

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6
6.1

Potential Emerging Threats and Vulnerabilities
Ongoing Structural Vulnerabilities

The Council’s previous annual reports have identified structural vulnerabilities in the U.S. financial
system. These have included: risk-taking incentives of large, complex, interconnected financial
institutions; concentrations of activities and exposures in CCPs; reliance on less stable, short-term
funding markets; continued use of reference rates that are not sufficiently derived from observable
transactions and that may be susceptible to manipulation; challenges to data quality, collection, and
sharing; and financial innovation and the migration of activities.

6.1.1

Large, Complex, Interconnected Financial Institutions

In part due to implementation of the Dodd-Frank Act and other financial regulatory reforms, large
BHCs are significantly better capitalized today, and hold significantly more HQLA than they did before
the financial crisis (see Section 5.1.1). In addition, the largest BHCs that operate in the United States
continue to be subject to both company-run and supervisory stress testing, and periodically submit
resolution plans to the Federal Reserve and FDIC (see Sections 5.1.2 and 5.1.3).
However, cyclical factors have contributed to some challenges for BHCs in recent years. The prolonged
low interest rate environment has depressed BHCs’ NIMs, led BHCs to increase the duration of their
portfolios, and contributed to increased risk-taking for CRE lending (see Section 4.5.3 and Box B). As
discussed in Section 4.11.1, BHCs’ ROE and ROA remain below pre-crisis levels. While such pressures
should ultimately lessen with higher interest rates and a steepening yield curve, increases in rates can
also create potential downsides, by reducing the value of securities held in portfolio, among other
factors (as discussed in Section 6.3).
Despite these challenges, market-based measures of the riskiness of the largest U.S. BHCs, generally
indicate low risk. Nonetheless, the Council remains vigilant about the potential threats such institutions
may pose to financial stability. The BHCs should continue to be appropriately monitored based on their
size, risk, concentration of activities, and offerings of new products and activities.

6.1.2

Central Counterparties

CCPs help to promote financial stability in a number of ways, including improved transparency,
the promotion of enhanced risk management across the financial system, standardized margin
methodologies applied to all clearing members, expanded multilateral netting, and strict procedures
for the orderly management of counterparty credit losses. However, because CCPs clear a very large
volume of transactions, and because of the extent to which they are interconnected with other large
and interconnected financial institutions, it is critical that CCPs be robust and resilient. The goal of
robust and resilient CCPs can be accomplished in part through the continued implementation of CCP
risk-management standards and recovery and wind-down plans. In addition, further analysis of the
risk that clearing members may pose to CCPs and that CCPs may pose to the financial network as a

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whole is appropriate. Regulators also continue to analyze a range of possible risks arising from or related
to the potential failure of one or more clearing members, each of which may be a member of multiple CCPs
and may provide essential services (such as liquidity provision, settlement or custody services) to multiple
CCPs. This includes analysis of the potential for such failures to transmit stress among financial institutions
or markets. Such analysis of the potential to transmit risk across financial institutions and markets will
help regulators to better understand interconnections among CCPs, clearing members, and other financial
institutions to help ensure the success of reforms that mandate greater use of central clearing.
Over the past few years, CCPs and financial regulators have made significant progress in the development
and implementation of more robust risk-management standards. The PFMI promoted international risk
management standards for CCPs, as well as other FMUs. Additionally, some authorities, including the
CFTC, regularly monitor risk exposures at CCPs, pursuant to their regulatory regime. The CFTC collects
daily reports of positions, risk measures, margins, collateral, and default resources, and maintains an active
surveillance program. The CFTC has also implemented the G-20’s central clearing mandate for interest rate
swaps and CDS indices.
As discussed in Section 5.2.2, in September 2016, the SEC issued a final rule to establish requirements
consistent with the PFMI for the operation and governance of covered clearing agencies. Internationally,
continued implementation and observance of the risk-management standards in the PFMI across
jurisdictions, by both regulators and CCPs, will increase both the safety and efficiency of CCPs and promote a
level playing field between CCPs globally.
Supervisory stress tests can also be an important contributor to risk management. The CFTC and foreign
regulators have recently taken productive first steps in this area (see Section 5.2.2 and Box D). Supervisory
stress tests can, for example, help to shed light on the risks and vulnerabilities related to the potential failure
of the largest clearing members at a CCP, including in many cases those with membership in multiple CCPs.
Such a failure or failures could have an adverse impact across markets and institutions. There have also been
advances in the development of plans for recovery and wind down. U.S. regulators have been reviewing and
providing guidance in recent years on recovery plans of CCPs designated by the Council.
Finally, the recent expansion of interest rate swap clearing requirements constitutes important progress
in decreasing bilateral exposure in the swaps market. This could lead to a reduction in complexity and
associated risks in both the swaps market and in the financial system as a whole.

6.1.3

Short-Term Wholesale Funding

Repo Markets
Although progress has been made in recent years in reducing counterparty risk exposure in repo markets,
the risk of fire sales of collateral by creditors of a defaulted broker-dealer remains. In addition, a better
understanding is needed of the interdependencies among firms and market participants, particularly in the
bilateral repo market, where more information would help regulators and supervisors better assess potential
risks and vulnerabilities.

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MMFs and Other Cash Management Vehicles
MMFs and other cash management vehicles that offer a stable NAV can be subject to runs, which could
disrupt short-term funding markets more broadly and have other adverse effects on related markets and
firms. The reforms implemented by the SEC in October 2016 represent an important development in
mitigating the risk of a run. However, while the adoption of a floating NAV likely reduced the risk of runs
and related disruptions in short-term lending markets, the extent of that reduction is not clear. Box C
describes the market impact surrounding the implementation of these reforms.
Although U.S. money markets have functioned well since MMF reforms were implemented, it is important
to continue to monitor and assess the migration of funds to other cash management vehicles. In addition,
it is important to understand the impact on institutions that have borrowed from prime MMFs in the past.
Although much of the reallocation in assets so far appears to have remained within the MMF sector, it is not
yet clear whether there will be further changes. Evaluating these possibilities will likely require efforts to fill
data gaps.
In the new market and regulatory environment, some institutions may attempt to distinguish themselves by
using new strategies that could increase credit, interest rate, or liquidity risks. More generally, regulations
may have unintended consequences, and market participants and regulators should be alert to the possible
emergence of new, unanticipated risks.

6.1.4

Reliance on Reference Rates

Over the past few years, regulators, benchmark administrators, and market participants have worked to
improve the resilience of LIBOR and develop alternative reference rates. LIBOR and its administrator
have been subjected to more direct oversight; little-used currency and tenor pairings have been eliminated;
and submissions of individual banks to the panel have been embargoed for a three-month period. These
and other reforms have reduced the incentives for participants to manipulate the benchmark. However,
decreases in the volume of unsecured wholesale lending make it more difficult to obtain enough observable
transactions on which to firmly base LIBOR submissions. This development creates the risk that publishing
the benchmark may not be sustainable. Because of these concerns, the ARRC convened to identify one or
more alternative near risk-free reference rates that fit both the needs of the market and standards of best
practice. On June 22, 2017, the ARRC selected the Secured Overnight Financing Rate—to be produced
starting in 2018 by the Federal Reserve Bank of New York, in conjunction with the OFR—as its recommended
rate. The ARRC plans to release a final plan to encourage the transition to its recommended rate.
Regulators are concerned that LIBOR is not sustainable because it is based on a diminishing number of
observable transactions. As a result, they have encouraged market participants to work with regulators to
address risks related to LIBOR-based contracts maturing after 2021. The ARRC is engaged with market
participants active across a wide range of financial contracts to address risks around reliance on LIBOR. For
example, the ARRC is also working with ISDA to develop a protocol that would allow for more robust contract
language in legacy swap contracts referencing LIBOR in the event that LIBOR were to cease publication.

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6.1.5

Data Gaps and Challenges to Data Quality, Collection, and Sharing

The financial crisis revealed multiple deficiencies in the data needed for effective oversight of the financial
system, as well as a firm’s internal risk management and reporting capabilities. These gaps included the
lack of comprehensive and clear data about the structure and ownership of financial entities, including
data about these entities’ parents and subsidiaries; the lack of standardized OTC derivatives data and access
to derivatives transaction data by financial regulators; and different regulatory reporting requirements.
Different regulatory reporting requirements may also lead to uneven reporting burdens for some
participants.
In addition, some market participants continue to use legacy processes that rely on data that are not aligned
to definitions from relevant consensus-based standards. These legacy processes often do not allow for
adequate conformance and validation of data to the structures needed for data sharing. As financial markets
continue to evolve, maintaining data quality will be a constant challenge for firms and regulators. Improving
the quality of financial data and the methods for ensuring data quality will make data more usable,
comparable, and fit for purpose.
Data collection initiatives, such as the planned collection informed by the joint OFR, Federal Reserve System,
and SEC “Bilateral Repo Data Collection Pilot Project,” have the potential to lead to greater transparency and
reduced market risk for all participants.

6.1.6

Financial Innovation

Products and services offered in the financial system have evolved substantially over time. These changes
have offered considerable benefits to market participants by, for example, potentially expanding access to
credit, making payments more convenient, facilitating the execution of market transactions, reducing costs
of regulatory compliance, or enabling more accurate pricing of risk. At the same time, innovation can pose
a challenge to regulators, in part by causing financial activities to migrate to less-well understood markets
or to institutions outside the regulators’ current purview. Regulators must therefore continue to be vigilant
in understanding the use and any potential misuse of new products and services and in monitoring the risks
posed to the financial system by new developments.
Marketplace lending and payments are two areas in which technological developments have led to changes in
financial products or services (see Section 4.14). By offering an additional source of loans to households and
small businesses—and one that may incorporate new underwriting methods—marketplace lenders have the
potential to increase the overall availability of credit. However, because the underwriting methods have not
been tested through a credit cycle, they pose potential risks. The limited performance history of loans made
through marketplace lenders makes it difficult to determine whether marketplace lenders have assessed risk
appropriately. In addition, the impact of the business cycle on the provision of new credit by such lenders is
unknown, leading to the possibility of swings in credit availability. Growth in this industry and continued
competition with more traditional lenders could lead to weaker underwriting standards. Finally, some
marketplace lenders use new funding models, whose behavior is also untested through a credit cycle.
In payments, the use of virtual currencies—which are often based on distributed ledger technology—is
small but growing. As with any new development, virtual currencies and distributed ledger technologies can
create risks and vulnerabilities that call for continued regulatory monitoring and coordination. In particular,
decentralization of data storage from use of distributed ledgers may raise challenges for supervision and
regulation, as current regulatory practices were designed for more centralized systems.

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As detailed in Section 4.14, these areas—marketplace lending, and the use of virtual currencies and
distributed ledger technologies—are currently very small. Their current impact on financial stability is likely
limited. However, in light of the growing number of market participants and financial institutions investing
in these areas, it is desirable for financial regulators to monitor and analyze their effects on financial stability.
These two areas are simply examples of new financial products and services, and it is equally important to be
vigilant about developments in other areas that may pose equal or greater risks.

6.2

Cybersecurity: Vulnerabilities to Attacks on Financial Services

The Council has previously highlighted the unique threats associated with the possibility of a destructive
malware attack targeting the financial services sector and urged continued work by the public and private
sectors to reduce the risks associated with these and other cybersecurity threats. While the public and private
sectors have made progress, ongoing work is needed as overall risks associated with significant cybersecurity
incidents continue to increase and become more complex, and as malicious cyber actors continue to become
more sophisticated and persistent. This increased complexity in part results from the fact that the financial
sector continues to develop global, automated, highly integrated, and digitized services across nearly all
segments of the industry. While this ongoing trend presents significant economic opportunities, it also has
the potential to create new, and further exploit known, vulnerabilities, including vulnerability to malicious
cyber activity.
For example, in February 2016, hackers using malware compromised the credentials of employees
at Bangladesh Bank to send payment messages over the Society for Worldwide Interbank Financial
Telecommunication (SWIFT) network, resulting in the theft of $81 million. This breach—and the
subsequent public reports of similar attacks—illustrated the technical proficiency and global reach of the
hackers’ ability to conduct cyber intrusions for criminal purposes. In the aftermath of this incident, SWIFT
began working to design and implement a more robust customer security program focusing on elevating and
reinforcing security of all participants that connect and interact with the SWIFT network.
The ever increasing scope and scale of data breaches also puts U.S. consumer information at significant risk.
In September 2017, Equifax Inc. issued a press release announcing a cybersecurity incident earlier in the year
related to a website application with unpatched software that may have impacted approximately 143 million
U.S. consumers. Personally identifiable information for at least hundreds of thousands of people probably
was exposed, including names, Social Security Numbers, birth dates, addresses, driver’s license numbers, and
credit card numbers.
Similarly, ransomware incidents continue to impact institutions both within the financial sector and across
other parts of the nation’s economy. Like many other types of malicious attacks, ransomware is a form of
malware that is usually delivered through spearphishing emails. The malware encrypts data and locks users
out of their systems. The perpetrator then demands a ransom payment in exchange for a decryption key,
which is sometimes delivered in exchange for a payment. Ransomware targets end-users, making awareness
and training a critical preventive measure, as well as consistent, frequent backups of all data to allow for
restoration in the event of a successful attack. While ransomware has existed for several years, its presence
may continue to expand as malicious actors leverage business functions to achieve their objectives.

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Financial sector companies will continue to face cybersecurity risks, including risks posed by destructive
malware and significant theft. Financial institutions should improve cybersecurity resilience by working
with government agencies to better understand these risks, reduce risk exposure by engaging in information
sharing efforts, and preparing to respond to and recover from major incidents. These preparations should
continue to include consideration of the possible consequences to the institution—including financial,
operational, and reputational consequences—of the theft of large sums of money and potentially destructive
incidents. Effectively responding to today’s increased threat and complex IT environment requires
significant collaboration between government and industry.

6.3

Asset Management Products and Activities

As discussed in Section 5.5, in April 2016 the Council issued an update on its review of potential risks to
financial stability that might arise from asset management products and activities. In that update, the
Council focused primarily on potential threats and vulnerabilities in the areas of liquidity and redemption
risk, and the use of leverage. In October 2016, the SEC adopted rules to enhance liquidity risk management
by funds, and to allow funds to adopt swing pricing to pass on transaction costs to entering and exiting
investors (see Section 5.2.3). The SEC also issued final rules in October 2016 to enhance data reporting and
disclosure for mutual funds and other registered investment companies, significantly improving information
available to investors and the SEC.
In December 2015, the SEC issued a proposed rule on the use of derivatives by registered investment
companies, including mutual funds, ETFs, and business development companies. Commenters have raised
a number of concerns regarding this proposed rule, including, for example, concerns that the measures of
derivatives exposure did not adequately reflect portfolio risk.

6.4

Managing Vulnerabilities in an Environment of Low, but Rising, Interest Rates

In previous annual reports, the Council has identified a number of vulnerabilities associated with prolonged
low-yield environments. In search of higher yields, investors may buy assets with higher credit or market
risks, possibly using more leverage or relying on shorter-term funding. These behaviors in turn can lead to
large rises in asset valuations in certain markets; owners of such assets may then be subject to the risk of large
declines in such prices. In addition, relatively flat yield curves put downward pressure on NIMs at depository
institutions and broker-dealers. Institutions with large amounts of long-term liabilities such as insurance
companies and pension funds will face additional challenges, as consumer demand for their products may be
depressed.
While domestic and many foreign interest rates remain at very low levels, over the past year rates have
risen somewhat. While these changes may reduce the risk-taking incentives arising from low rates, the
consequences of past risk-taking may persist for some time, and the transition to higher rates may expose
vulnerabilities among some market participants.
As discussed in Section 4.5.3 and Box B, CRE markets have been exhibiting behavior consistent with elevated
valuations for some time. CRE prices and loan quantities have been rising, and capitalization rates remain
low. However, spreads of capitalization rates over Treasuries continue to remain flat. In addition, there is
some evidence that banks have tightened underwriting standards for CRE loans over the past year. The
possibility remains that CRE prices may fall sharply and unexpectedly, and that delinquency rates on CRE
loans may rise.

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Low rates can lead some firms and households to borrow excessively, creating problems later for financial
institutions and other debtholders if such borrowers are unable to service or refinance their debt. As
detailed in Section 4.3, the ratio of total corporate debt to GDP—one benchmark for the ease with which
the corporate sector can continue to service its debt—is currently elevated. And as noted in Section 4.4, the
ratio of household debt service to disposable personal income has been stable at a relatively low level for some
time.
Rising interest rates may be a symptom or a cause of other problems. First, rates could be rising because
investors are demanding increased risk premiums. However, such a development would lead to a general rise
in spreads on yields between more- and less-risky assets. Although spreads on some assets have increased, as
discussed in Section 4.3, corporate credit spreads have generally continued to fall.
Second, although the cost of funding for depository institutions has remained low and stable, that may not
persist. In the past, deposit rates have increased with a delay in response to rises in other market rates. The
length of the current period of very low market rates is historically unprecedented, making the historical
pattern less dispositive. In addition, evolution in competitive and regulatory conditions in banking markets
may also alter the response.
A related point is that the quantity of deposits and other sources of bank funding have also historically
responded sluggishly to movements in the opportunity cost between market rates and deposit rates. Such
behavior could also be different this time. Deposit inflows to banks have been unusually large since the
beginning of the financial crisis. It is possible that deposit outflows and migration to other deposit types
could be larger or quicker than expected.
Finally, the rise in rates has caused the market values of available-for-sale securities at banks to fall in recent
months. Related fluctuations in other comprehensive income could have some impact on regulatory capital
for advanced approach institutions. Rising rates also impact debt service requirements for borrowers,
especially those that have loans priced to a variable rate index.

6.5

Changes to Financial Market Structure and Implications for Financial Stability

Market making and liquidity provision are now undertaken by a wide variety of market participants, including
not only the broker-dealers affiliated with large banks—historical providers of such services—but also asset
managers, proprietary trading firms, and hedge funds, among others. The increased use of electronic
trading platforms has allowed for growth in both algorithmic and high-frequency trading practices, which
have been adopted by many liquidity providers and liquidity takers. These developments have benefited
market participants through lower transaction costs, increased market efficiency, and fewer manual errors.
However, these developments may also create new risks and vulnerabilities. In addition, changes in the
regulations, such as the prohibitions under the Volcker Rule, can affect financial institutions’ role in markets.
In recent years, there has been increased regulatory focus on the risks from both the faster speed of trades
as well as the complexity of trading algorithms, as these can lead to operational risks that may be hard
to predict or manage. There has also been heightened concern about so-called “flash events,” in which
various markets have experienced sharp price moves, often with swift reversals. While some of these events
have occurred in smaller markets or during illiquid trading hours, others have affected some of the largest
markets in the world. Studies of events such as the Joint Staff Report on the U.S. Treasury Market on October
15, 2014 have not identified any specific cause, but instead point to a confluence of factors. When extreme,
these events may lead to disruptions not just in the focal market, but also in highly correlated markets.
Such possible transmission across markets highlights the possibility that flash events contribute to financial
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instability, though the events to date have not seen spillovers at concerning levels. Financial regulators and
market participants should continue to assess the complex linkages among markets, factors that could cause
flash events to propagate across markets, and potential solutions to mitigate risks. As markets are global
in nature, there should be active collaboration with and among regulators across jurisdictions to ensure
coordination of efforts.
These changes in market structure have been accompanied by a substantial shift towards automating the
investment process. Asset managers, hedge funds, banks, and others often rely on artificial intelligence,
machine learning, and other advanced analytical tools to make investment decisions. These developments
add complexity to the markets and can be a source of operational risk. For example, swift and automated
trading algorithms—including correlated strategies across multiple investment firms—could react to
inaccurate information in a way that creates unpredictable market volatility and threatens the safety and
soundness of a financial institution. Financial regulators and market participants should assess the extent to
which increased automation in investing affects the impact and efficacy of related regulations and consider
whether regulatory guidance is warranted.
Finally, given the changes in market structure described above, liquidity provision during times of stress
may differ now from historical norms in ways that are hard to anticipate. Where market-making was once
the purview of traditional dealers, in an increasing number of products this role can be taken on by smaller
institutions that make significant use of automated technology. With trading speeds increasing and practices
becoming more automated, liquidity provision can also change quickly. This can create challenges for
market participants who are not prepared for the level and speed of liquidity changes, and may result in
mismatches between liquidity supply and demand. In many markets, investment strategies have evolved in
response to these structural changes. Buy-side firms and high-frequency traders have increased real-time
monitoring of liquidity conditions and further developed algorithms designed to minimize price impact.
Buy-side firms have also better tailored investments to match the liquidity and risk appetites of their investors.
These innovations all attempt to match trading needs with the more algorithmic environment that arises with
market automation, and speak to the potential risks posed by the structural changes.

6.6

Global Economic and Financial Developments

Although conditions in foreign financial markets have improved over the past year, developments in Europe
and EMEs in particular still have the potential to create risks and vulnerabilities for financial institutions and
markets connected to those areas.
Equity prices rose and corporate and sovereign bond yields remained generally unchanged in many
European economies in 2016 and 2017. While economic growth in the euro area strengthened in the
first half of 2017, European banks remain vulnerable to macroeconomic shocks due to elevated levels of
nonperforming loans and low levels of profitability (see Box A). Uncertainty about the global impact of
further adverse developments in the European banking sector heightens the need to address challenges
associated with cross-border resolution of global banking organizations. Additionally, while broad-based
improvement in economic conditions has eased perceptions of risks in the periphery of the Eurozone, high
levels of sovereign indebtedness remains a challenge for select countries, especially for Italy, Greece, and
Portugal. Ongoing issues with Greece—namely, the need for Greece to reach agreement with European
official creditors on sovereign debt relief and for Greece to meet obligations to complete its program in
August 2018 and obtain consistent market access—are a source of lingering uncertainty.

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Box E: Closing Data Gaps in the U.S. Treasury Market

The U.S. Treasury market is the deepest and most
liquid government securities market in the world. It
plays a critical and unique role in the global economy,
with Treasury securities acting as the primary means
of financing the U.S. federal government, a broadly
used investment instrument and hedging vehicle
for global investors, a risk-free benchmark for other
financial instruments, and an important tool for the
Federal Reserve’s implementation of monetary policy.
Since the last major review of the U.S. Treasury
market in the 1990s, many structural changes in
secondary Treasury trading have occurred. These
changes include the introduction of electronic
trading platforms, which have shifted trading from
voice brokerage to a process which can be highly
automated and at which transactions can occur at
high speeds. The larger secondary market is split
into two main components—the traditional interdealer broker market and a dealer-to-customer
market. Most activity in the former is now conducted
on electronic order-flow driven platforms, while
the latter remains largely bilateral, and is spread
across a range of platforms and execution methods.
Additionally, the inter-dealer market has seen new
entrants and new forms of competition. While the
largest primary dealers still represent a significant
share of inter-dealer trading, they account for less
than half of the activity in this segment. Instead,
principal trading firms (PTFs) now make up a large
portion of trading in this market, as identified in
The Joint Staff Report on the U.S. Treasury market
volatility of October 15, 2014.
To explore these structural changes, Treasury
issued a request for information (RFI) in January
2016 seeking public comment on the evolution
of the U.S. Treasury market. The Treasury RFI
included questions on trading and risk management
practices, official sector data access, and the benefits
and risks of increased public disclosure of market
activity. Commenters expressed broad support for
comprehensive data collection by the official sector.
After reviewing the comment letters, Treasury and

the SEC announced that they were “working together
to explore efficient and effective means of collecting
U.S. Treasury cash market transaction information,”
and requested that Financial Industry Regulatory
Authority (FINRA) “consider a proposal to require its
member brokers and dealers to report Treasury cash
market transactions to a centralized repository.” In
response to the request, FINRA proposed, and the
SEC approved, new reporting requirements for FINRA
member firms to report secondary market Treasury
transactions to TRACE. FINRA began requiring
member firms to report transactions in U.S. Treasury
securities to TRACE on July 10, 2017. This initiative
complements ongoing TRACE data collection of OTC
secondary market transactions in other eligible fixed
income securities, such as corporate bonds and
agency debt securities.
FINRA reporting is thought to capture the majority of
U.S. Treasury cash market transactions. Importantly,
the reporting requirements cover trades of FINRA
members with non-FINRA member counterparties,
and also capture trading on major platforms operated
by FINRA members. These requirements apply to all
marketable Treasuries, including Treasury bills, notes,
bonds, floating rate notes, and inflation-protected
securities. The requirements also apply to separate
principal and interest components of a U.S. Treasury
security that have been separated pursuant to the
Separate Trading of Registered Interest and Principal
of Securities (STRIPS) program operated by Treasury.
As current reporting requirements only apply to
trades of FINRA members, trades of non-FINRA
members, such as non-member PTFs, are only
reported to TRACE if conducted with or via a FINRA
member. Moreover, such transactions are only
reported as anonymous customer transactions,
excluding the name of the specific entity with which
the member firm traded. To provide a more complete
view of Treasury trading in the secondary market,
the Federal Reserve announced plans to collect data
from banks for secondary market transactions in U.S.
Treasury securities (and enter into negotiations with

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FINRA to potentially act as the Federal Reserve’s
collection agent for the data).
While FINRA does not publicly disseminate TRACE
data on Treasury securities at this time, the data
provides regulators with an opportunity to gain a
more comprehensive understanding of the U.S.
Treasury market. The recent improvements in
Treasury market data collection by FINRA do not
include derivatives markets such as the ones for
Treasury and interest rate futures whose close link to
cash Treasury markets was highlighted by the Joint
Staff Report on the U.S. Treasury market volatility of
October 15, 2014. The CFTC collects market data on
these products. Regulators will continue to evaluate
whether additional steps are needed to promote a
well-functioning U.S. Treasury market.

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The long-term global consequences of the UK referendum to leave the EU are also unclear. On March 29,
Prime Minister May provided formal notice to the EU of its invocation of Article 50 of the Treaty of Lisbon,
the first step in the withdrawal process. While this action, and related statements by the UK and EU, may
have removed some of the uncertainty about the range of possible outcomes, many details of the departure,
including the timeline, are still being discussed. Market commentary has suggested that some financial
services firms are planning to relocate some UK-based businesses to elsewhere in Europe. Such relocations
are a source of strategic and operational risk to the institutions involved, and may have implications for
overall financial stability.
Growth in most EMEs generally picked up in 2016 and 2017, with the exception of certain commodity
producing economics contracting in 2016. While foreign investor flows to EMEs rebounded in 2016 and
2017, differences in yields available to investors across jurisdictions could lead to flow volatility. Capital
outflows, economic slowdowns, and rising interest rates could impede the ability to roll over sovereign debt or
refinance the borrowing of highly-leveraged firms.
China’s economy continued its longer-term transition from manufacturing towards services and from
investment towards consumption. At the same time, China’s financial sector has grown increasingly complex,
and Chinese firms have added to an already elevated level of corporate debt. These financial developments
have heightened financial stability risks. A further slowdown in economic growth or a sharp correction
in property price growth could have adverse consequences for closely-connected EMEs and for Chinese
financial institutions. The Council will continue to monitor and assess these spillovers and other potential
emerging risks to financial stability.

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Abbreviations
ABCP

Asset-Backed Commercial Paper

ABS

Asset-Backed Security

ACIS

Agency Credit Insurance Structure

AIG

American International Group, Inc.

AIS

Automated Indicator Sharing

ARRC

Alternative Reference Rates Committee

AUM

Assets Under Management

BEA

Bureau of Economic Analysis

BHC

Bank Holding Company

BIS

Bank for International Settlements

BoE

Bank of England

BoJ

Bank of Japan

C&I

Commercial and Industrial

CAS

Connecticut Avenue Securities

CAT

Consolidated Audit Trail

CBO

Congressional Budget Office

CCAR

Comprehensive Capital Analysis and Review

CCP

Central Counterparty

Abbreviations

135

136

CCyB

Countercyclical Capital Buffer

CD

Certificate of Deposit

CDO

Collateralized Debt Obligation

CDS

Credit Default Swap

CECL

Current Expected Credit Losses

CET1

Common Equity Tier 1

CFPB

Bureau of Consumer Financial Protection

CFTC

Commodity Futures Trading Commission

CIRT

Credit Insurance Risk Transfer

CLO

Collateralized Loan Obligation

CMBS

Commercial Mortgage-Backed Security

CMO

Collateralized Mortgage Obligation

Co-Co

Contingent Convertible

ComFrame

Common Framework for the Supervision of Internationally Active Insurance Groups

COSSEC

Corporación Pública para la Supervisión y Seguro de Cooperativas

Council

Financial Stability Oversight Council

CP

Commercial Paper

CPMI

Committee on Payments and Market Infrastructures

CRE

Commercial Real Estate

CSBS

Conference of State Bank Supervisors

2 0 1 7 F S O C / / Annual Report

DCM

Designated Contract Market

DCO

Derivatives Clearing Organization

DFAST

Dodd-Frank Act Stress Tests

DHS

U.S. Department of Homeland Security

Dodd-Frank Act

Dodd-Frank Wall Street Reform and Consumer Protection Act

DoJ

U.S. Department of Justice

DTCC

Depository Trust & Clearing Corporation

DVP

Delivery-versus-Payment

EBITDA

Earnings Before Interest, Taxes, Depreciation, and Amortization

ECB

European Central Bank

EME

Emerging Market Economy

ESMA

European Securities and Markets Authority

ETF

Exchange-Traded Fund

ETP

Exchange-Traded Product

EU

European Union

FASB

Financial Accounting Standards Board

FBIIC

Financial and Banking Information Infrastructure Committee

FBO

Foreign Banking Organization

FCM

Futures Commission Merchant

FCTF

Financial Crime Task Force

Abbreviations

137

138

FDIC

Federal Deposit Insurance Corporation

Federal Reserve

Board of Governors of the Federal Reserve System

FFIEC

Federal Financial Institutions Examination Council

FHA

Federal Housing Administration

FHFA

Federal Housing Finance Agency

FHLB

Federal Home Loan Bank

FICC

Fixed Income Clearing Corporation

FICO

Fair Isaac Corporation

FINRA

Financial Industry Regulatory Authority

FIO

Federal Insurance Office

FMI

Financial Market Infrastructure

FMU

Financial Market Utility

FOMC

Federal Open Market Committee

FRBNY

Federal Reserve Bank of New York

FSB

Financial Stability Board

FSOC

Financial Stability Oversight Council

G-20

Group of Twenty

G-SIB

Global Systemically Important Bank

G-SII

Global Systemically Important Insurer

GAV

Gross Asset Value

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GCF

General Collateral Finance

GDP

Gross Domestic Product

GECC

General Electric Capital Corporation, Inc.

GO

General Obligation

GSE

Government-Sponsored Enterprise

HELOC

Home Equity Line of Credit

HLA

Higher Loss Absorbency

HMDA

Home Mortgage Disclosure Act

HQLA

High-Quality Liquid Asset

HUD

U.S. Department of Housing and Urban Development

HY

High-Yield

IAIG

Internationally Active Insurance Group

IAIS

International Association of Insurance Supervisors

IASB

International Accounting Standards Board

ICE

Intercontinental Exchange

ICI

Investment Company Institute

ICS

Insurance Capital Standard

IFRS

International Financial Reporting Standards

IG

Investment Grade

IHC

Intermediate Holding Company

Abbreviations

139

140

IMF

International Monetary Fund

IOSCO

International Organization of Securities Commissions

IRA

Individual Retirement Account

IRS

Internal Revenue Service

ISDA

International Swaps and Derivatives Association

LBO

Leveraged Buyout

LCR

Liquidity Coverage Ratio

LEI

Legal Entity Identifier

LIBOR

London Interbank Offered Rate

M&A

Mergers and Acquisitions

MBS

Mortgage-Backed Security

MISMO

Mortgage Industry Standards Maintenance Organization

MMF

Money Market Mutual Fund

MOVE

Merrill Lynch Option Volatility Estimate

MSR

Mortgage Servicing Right

MTN

Medium-Term Note

NAIC

National Association of Insurance Commissioners

NAV

Net Asset Value

NBER

National Bureau of Economic Research

NCUA

National Credit Union Administration

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NIM

Net Interest Margin

NIST

National Institute of Standards and Technology

NMLS

Nationwide Multi-state Licensing System

NMS

National Market System

NPL

Non-Performing Loan

NSFR

Net Stable Funding Ratio

OCC

Office of the Comptroller of the Currency

OFR

Office of Financial Research

OIS

Overnight Indexed Swap

ON RRP

Overnight Reverse Repurchase Agreement

OPEC

Organization of Petroleum Exporting Countries

ORSA

Own Risk and Solvency Assessment

OTC

Over-the-Counter

P/B

Price-to-Book

P&C

Property and Casualty

P/E

Price-to-Earnings

PBGC

Pension Benefit Guaranty Corporation

PBOC

People’s Bank of China

PFMI

Principles for Financial Market Infrastructures

PROMESA

Puerto Rico Oversight, Management, and Economic Stability Act

Abbreviations

141

142

PTF

Principal Trading Firm

QFC

Qualified Financial Contract

REIT

Real Estate Investment Trust

Repo

Repurchase Agreement

RFI

Request for Information

RMBS

Residential Mortgage-Backed Security

ROA

Return on Assets

ROAA

Return on Average Assets

ROE

Return on Equity

RRC

Regulation and Resolution Committee

RRP

Reverse Repurchase Operation

RWA

Risk-Weighted Asset

S&P

Standard & Poor's

SAP

Statutory Accounting Principles

SBSDR

Security-Based Swap Data Repository

SDR

Swap Data Repository

SEC

Securities and Exchange Commission

SEF

Swap Execution Facility

SIFMA

Securities Industry and Financial Markets Association

SLOOS

Senior Loan Officer Opinion Survey on Bank Lending Practices

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SLR

Supplementary Leverage Ratio

SRC

Systemic Risk Committee

SRO

Self-Regulatory Organization

STACR

Structured Agency Credit Risk

STRIPS

Separate Trading of Registered Interest and Principal of Securities

SWIFT

Society for Worldwide Interbank Financial Telecommunication

TCCUSF

Temporary Corporate Credit Union Stabilization Fund

Term RRP

Term Reverse Repurchase Agreement

TIPS

Treasury Inflation-Protected Securities

TLAC

Total Loss Absorbing Capacity

TRACE

Trade Reporting and Compliance Engine

Treasury

U.S. Department of the Treasury

TRIP

Terrorism Risk Insurance Program

TRIPRA

Terrorism Risk Insurance Program Reauthorization Act of 2015

UK

United Kingdom

ULI

Universal Loan Identifier

UPB

Unpaid Principal Balance

USD

U.S. Dollar

VA

U.S. Department of Veterans Affairs

VIX

Chicago Board Options Exchange Volatility Index

Abbreviations

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144

WAM

Weighted-Average Maturity

WTI

West Texas Intermediate

YTD

Year-to-Date

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Glossary
Additional Tier 1 Capital

A regulatory capital measure which may include items such
as noncumulative perpetual preferred stock and mandatory
convertible preferred securities which satisfy the eligibility
criteria in the Revised Capital Rule, as well as related surplus
and minority interests.

Advanced Approaches Capital
Framework

The Advanced Approaches capital framework requires certain
banking organizations to use an internal ratings-based
approach and other methodologies to calculate risk-based
capital requirements for credit risk and advanced measurement
approaches to calculate risk-based capital requirements for
operational risk. The framework applies to large, internationally
active banking organizations—generally those with at least $250
billion in total consolidated assets or at least $10 billion in total
on-balance sheet foreign exposure—and includes the depository
institution subsidiaries of those firms.

Affiliate

In general, a company is an affiliate of another company if 1)
either company consolidates the other on financial statements
prepared in accordance with U.S. Generally Accepted Accounting
Principles, the International Finance Reporting Standards, or
other similar standards; 2) both companies are consolidated
with a third company on financial statements prepared in
accordance with such principles or standards; 3) for a company
that is not subject to such principles or standards, consolidation
as described above would have occurred if such principles or
standards had applied; or 4) a primary regulator determines that
either company provides significant support to, or is materially
subject to the risks or losses of, the other company.

Asset-Backed Commercial
Paper (ABCP)

Short-term debt which has a fixed maturity of up to 270 days
and is backed by some financial asset, such as trade receivables,
consumer debt receivables, securities, or auto and equipment
loans or leases.

Asset-Backed Security (ABS)

A fixed income or other type of security which is collateralized
by self-liquidating financial assets that allows the holder of the
security to receive payments that depend primarily on cash flows
from the assets.

Bilateral Repo

A repo between two institutions in which negotiations are
conducted directly between the participants or through a
broker, and in which the participants must agree on the specific
securities to be used as collateral. The bilateral repo market
includes both non-cleared trades and trades cleared through
Fixed Income Clearing Corporation’s DVP repo service.

Glossary

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146

Central Counterparty (CCP)

An entity which interposes itself between counterparties to
contracts traded in one or more financial markets, becoming
the buyer to every seller and the seller to every buyer, thereby
ensuring the performance of open contracts.

Clearing Bank

A BHC subsidiary that facilitates payment and settlement of
financial transactions, such as check clearing, or facilitates
trades between the sellers and buyers of securities or other
financial instruments or contracts.

Collateral

Any asset pledged by a borrower to guarantee payment of a debt.

Collateralized Loan Obligation (CLO)

A securitization vehicle backed predominantly by
commercial loans.

Commercial Mortgage-Backed
Security (CMBS)

A security which is collateralized by a pool of commercial
mortgage loans and makes payments derived from the interest
and principal payments on the underlying mortgage loans.

Commercial Paper (CP)

Short-term (maturity of up to 270 days), unsecured
corporate debt.

Common Equity Tier 1 Capital

A regulatory capital measure which includes capital with the
highest loss-absorbing capacity, such as common stock and
retained earnings.

Common Equity Tier 1 Capital Ratio

A ratio which divides common equity tier 1 capital by total riskweighted assets. The ratio applies to all banking organizations
subject to the Revised Capital Rule.

Common Securitization
Platform

A common RMBS securitization infrastructure between Fannie
Mae and Freddie Mac.

Comprehensive Capital Analysis
and Review (CCAR)

An annual exercise by the Federal Reserve to ensure that
institutions have robust, forward-looking capital planning
processes which account for their unique risks and sufficient
capital to continue operations throughout times of economic and
financial stress.

Consumer Price Index (CPI)

A monthly index containing data on changes in the prices
paid by urban consumers for a representative basket of goods
and services.

Credit Default Swap (CDS)

A financial contract in which one party agrees to make a payment
to the other party in the event of a specified credit event, in
exchange for one or more fixed payments.

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Defined Benefit Plan

A retirement plan in which the cost to the employer is based on a
predetermined formula to calculate the amount of a participant’s
future benefit. In defined benefit plans, the investment risk is
borne by the plan sponsor.

Defined Contribution Plan

A retirement plan in which the cost to the employer is limited to
the specified annual contribution. In defined contribution plans,
the investment risk is borne by the plan participant.

Dodd-Frank Act Stress Tests
(DFAST)

Annual stress tests required by the Dodd-Frank Act for national
banks and federal savings associations with total consolidated
assets of more than $10 billion.

Duration

The sensitivity of the prices of bonds and other fixed income
securities to changes in the level of interest rates.

Emerging Market Economy

Although there is no single definition, emerging market
economies are generally classified according to their state of
economic development, liquidity, and market accessibility. This
report has grouped economies based on the classifications
used by significant data sources such as the IMF and Standard
& Poor’s, which include, for example, Brazil, China, India, and
Russia.

Exchange-Traded Product (ETP)

An investment fund or note whose shares are traded on an
exchange. ETPs offer continuous pricing—unlike mutual funds,
which offer only end-of-day pricing. ETPs are often designed to
track an index or a portfolio of assets.

Federal Funds Rate

The interest rate at which depository institutions lend reserve
balances to other depository institutions overnight. The FOMC
sets a target range for the level of the overnight federal funds
rate. The Federal Reserve Bank of New York then uses open
market operations to influence the rate so that it trades within the
target range.

FICO Score

A measure of a borrower’s creditworthiness based on the
borrower’s credit data; developed by the Fair Isaac Corporation.

Financial and Banking Information
Infrastructure Committee (FBIIC)

The FBIIC consists of 18 member organizations from across the
financial regulatory community, both federal and state. It was
chartered under the President’s Working Group on Financial
Markets following September 11, 2001 to improve coordination
and communication among financial regulators, enhance the
resiliency of the financial sector, and promote public-private
partnership.

Financial Market Infrastructure
(FMI)

A multilateral system among participating financial institutions,
including the operator of the system, used for the purposes of
recording, clearing, or settling payments, securities, derivatives,
or other financial transactions. Under the Dodd-Frank Act, certain
FMIs are recognized as FMUs.

Glossary

147

148

Financial Market Utility (FMU)

A Dodd-Frank defined entity, which, subject to certain exclusions,
is “any person that manages or operates a multilateral system
for the purpose of transferring, clearing, or settling payments,
securities, or other financial transactions among financial
institutions or between financial institutions and the person.”

Fire Sale

The disorderly liquidation of assets to meet margin requirements
or other urgent cash needs. Such a sudden sell-off drives down
prices, potentially below their intrinsic value, when the quantities
to be sold are large relative to the typical volume of transactions.
Fire sales can be self-reinforcing and lead to additional forced
selling by some market participants which, subsequent to an
initial fire sale and consequent decline in asset prices, may also
need to meet margin or other urgent cash needs.

Fiscal Year

Any 12-month accounting period. The fiscal year for the
federal government begins on October 1 and ends on September
30 of the following year; it is named after the calendar year in
which it ends.

Futures Contract

An agreement to purchase or sell a commodity for delivery in
the future: (1) at a price that is determined at initiation of the
contract; (2) that obligates each party to the contract to fulfill the
contract at the specified price; (3) that is used to assume or shift
price risk; and (4) that may be satisfied by delivery or offset.

General Collateral Finance
(GCF)

An interdealer repo market in which the Fixed Income Clearing
Corporation plays the role of intraday CCP. Trades are netted at
the end of each day and settled at the tri-party clearing banks.
See Tri-party Repo.

Government-Sponsored
Enterprise (GSE)

A corporate entity with a federal charter authorized by law, but
which is a privately owned financial institution. Examples include
the Federal National Mortgage Association (Fannie Mae) and the
Federal Home Loan Mortgage Corporation (Freddie Mac).

Gross Domestic Product
(GDP)

The broadest measure of aggregate economic activity, measuring
the total value of all final goods and services produced within a
country’s borders during a specific period.

Gross Notional Exposure

The sum of the absolute values of long and short notional
amounts. The “notional” amount of a derivative contract is the
amount used to calculate payments due on that contract, just as
the face amount of a bond is used to calculate coupon payments.

Haircut

The discount, represented as a percentage of par or market
value, at which an asset can be pledged as collateral. For
example, a $1,000,000 bond with a 5 percent haircut would
collateralize a $950,000 loan. The purpose of a haircut is to
provide a collateral margin for a secured lender.

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Held-to-Maturity

An accounting term for debt securities accounted for at amortized
cost, under the proviso that the company can assert that it has
the positive intent and ability to hold the securities to maturity.

High-Quality Liquid Asset (HQLA)

An asset—such as a government bond—which is considered
eligible as a liquidity buffer in the U.S. banking agencies’
liquidity coverage ratio. High-quality liquid assets should be
liquid in markets during times of stress and, ideally, be central
bank-eligible.

Home Equity Line of Credit (HELOC)

A line of credit extended to a homeowner which uses the home
as collateral.

Household Debt Service Ratio

An estimate of the ratio of debt payments to disposable personal
income. Debt payments consist of the estimated required
payments on outstanding mortgage and consumer debt.

Household Formation

A measure of housing demand, calculated as the month-to-month
change in the number of occupied housing units.

Interest Rate Risk Management

The management of the exposure of an individual’s or an
institution’s financial condition to movements in interest rates.

Interest Rate Swap

A derivative contract in which two parties swap interest rate cash
flows on a periodic basis, referencing a specified notional amount
for a fixed term. Typically one party will pay a predetermined fixed
rate while the other party will pay a short-term variable reference
rate which resets at specified intervals.

Large-Scale Asset Purchases

Purchases by the Federal Reserve of securities issued by the U.S.
government or securities issued or guaranteed by governmentsponsored agencies (including Fannie Mae, Freddie Mac, Ginnie
Mae, and the Federal Home Loan Banks) in the implementation of
monetary policy.

Legal Entity Identifier (LEI)

A 20-digit alpha-numeric code that connects to key reference
information which enables clear and unique identification of
companies participating in global financial markets. The LEI
system is designed to facilitate many financial stability
objectives, including: improved risk management in firms;
better assessment of microprudential and macroprudential risks;
expedition of orderly resolution; containment of market abuse and
financial fraud; and provision of higher-quality and more accurate
financial data.

Leveraged Buyout

An acquisition of a company financed by a private equity
contribution combined with borrowed funds, with debt
comprising a significant portion of the purchase price.

Glossary

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Leveraged Loan

A loan for which the obligor's post-financing leverage as
measured by debt-to-assets, debt-to-equity, cash flow-to-total
debt, or other such standards unique to particular industries
significantly exceeds industry norms. Leveraged borrowers
typically have a diminished ability to adjust to unexpected events
and changes in business conditions because of their higher ratio
of total liabilities to capital.

Liquidity Coverage Ratio (LCR)

A standard to ensure that covered companies maintain adequate
unencumbered, high-quality liquid assets to meet anticipated
liquidity needs for a 30-day horizon under a standardized liquidity
stress scenario.

Loan-to-Value Ratio

The ratio of the amount of a loan to the value of the asset that
the loan funds, typically expressed as a percentage. This is a
key metric when considering the level of collateralization of a
mortgage.

London Interbank Offered Rate
(LIBOR)

The interest rate at which banks can borrow unsecured funds
from other banks in London wholesale money markets, as
measured by daily surveys. The published rate is a trimmed
average of the rates obtained in the survey.

Major Swap Participant

A person that is not a swap dealer and maintains a substantial
position in swaps, creates substantial counterparty exposure,
or is a financial entity that is highly leveraged and not subject to
federal banking capital rules.

Money Market Mutual Fund (MMF)

A type of mutual fund which invests in short-term, liquid
securities such as government bills, CDs, CP, or repos.

Mortgage-Backed Security (MBS)

ABS backed by a pool of mortgages. Investors in the security
receive payments derived from the interest and principal
payments on the underlying mortgages.

Mortgage Servicing Company

A company which acts as an agent for mortgage holders by
collecting and distributing mortgage cash flows. Mortgage
servicers also manage defaults, modifications, settlements,
foreclosure proceedings, and various notifications to borrowers
and investors.

Municipal Bond

A bond issued by states, cities, counties, local governmental
agencies, or certain nongovernment issuers to finance certain
general or project-related activities.

Net Asset Value (NAV)

An investment company's total assets minus its total liabilities.

Net Interest Margin (NIM)

Net interest income as a percent of interest-earning assets.

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Net Stable Funding Ratio (NSFR)

A liquidity standard to promote the funding stability of
internationally active banks, through the maintenance of stable
funding resources relative to assets and off-balance sheet
exposures.

Open Market Operations

The purchase and sale of securities in the open market by a
central bank to implement monetary policy.

Option

A financial contract granting the holder the right but not the
obligation to engage in a future transaction on an underlying
security or real asset. The most basic examples are an equity
call option, which provides the right but not the obligation to
buy a block of shares at a fixed price for a fixed period, and an
equity put option, which similarly grants the right to sell a block
of shares.

Over-the-Counter (OTC)

A method of trading which does not involve an organized
exchange. In OTC markets, participants trade directly
on a bilateral basis, typically through voice or computer
communication and often with certain standardized
documentation with counterparty-dependent terms.

Part 30 Accounts

Accounts which are for U.S. customers who trade futures and
options on exchanges outside the U.S.

Primary Dealer

A financial institution that is a trading counterparty of the Federal
Reserve Bank of New York. Primary dealers are expected to
make markets for the Federal Reserve Bank of New York on
behalf of its official accountholders as needed, and to bid on a
pro-rata basis in all Treasury auctions at reasonably competitive
prices.

Prudential Regulation

Regulation aimed at ensuring the safe and sound operation of
financial institutions, set by both state and federal authorities.

Public Debt

All debt issued by Treasury and the Federal Financing Bank,
including both debt held by the public and debt held in
intergovernmental accounts, such as the Social Security Trust
Funds. Not included is debt issued by government agencies other
than the Department of the Treasury.

Qualifying Hedge Fund

A hedge fund advised by a Large Hedge Fund Adviser that
has a net asset value (individually or in combination with any
feeder funds, parallel funds, and/or dependent parallel managed
accounts) of at least $500 million as of the last day of any month
in the fiscal quarter immediately preceding the adviser’s most
recently completed fiscal quarter. Large Hedge Fund Advisers
are advisers that have at least $1.5 billion in hedge fund assets
under management.

Glossary

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Real Estate Investment Trust (REIT)

An operating company which manages income-producing real
estate or real estate-related assets. Certain REITs also operate
real estate properties in which they invest. To qualify as a REIT, a
company must have three-fourths of its assets and gross income
connected to real estate investment and must distribute at least
90 percent of its taxable income to shareholders annually in the
form of dividends.

Repurchase Agreement (Repo)

The sale of a security combined with an agreement to repurchase
the security, or a similar security, on a specified future date at a
prearranged price. A repo is a secured lending arrangement.

Residential Mortgage-Backed
Security (RMBS)

A security which is collateralized by a pool of residential
mortgage loans and makes payments derived from the interest
and principal payments on the underlying mortgage loans.

Revised Capital Rule

The capital rule which revised the risk-based and leverage capital
requirements for U.S. banking organizations, as finalized by the
Federal Reserve Board and the OCC in October 2013 (78 FR
62018), and for which the FDIC issued a substantially identical
interim rule in September 2013 (78 FR 55340). In April 2014,
the FDIC adopted the interim final rule as a final rule with no
substantive changes (79 FR 20754).

Risk-Based Capital

An amount of capital, based on the risk-weighting of various
asset categories, which a financial institution holds to help
protect against losses.

Risk-Weighted Assets (RWAs)

A risk-based concept used as the denominator of risk-based
capital ratios (common equity tier 1, tier 1, and total). The
total RWAs for an institution are a weighted total asset value
calculated from assigned risk categories or modeled analysis.
Broadly, total RWAs are determined by calculating RWAs for
market risk and operational risk, as applicable, and adding
the sum of RWAs for on-balance sheet, off-balance sheet,
counterparty, and other credit risks.

Rollover Risk

The risk that as an institution’s debt nears maturity, the institution
may not be able to refinance the existing debt or may have to
refinance at less favorable terms.

Run Risk

The risk that investors lose confidence in an institution—due to
concerns about counterparties, collateral, solvency, or related
issues—and respond by pulling back their funding.

Securities Lending/Borrowing

The temporary transfer of securities from one party to another for
a specified fee and term, in exchange for collateral in the form of
cash or securities.

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Securitization

A financial transaction in which assets such as mortgage loans
are pooled, securities representing interests in the pool are
issued, and proceeds from the underlying pooled assets are used
to service and repay the securities.

Security-Based Swap Dealer

A person that holds itself out as a dealer in security-based
swaps, makes a market in security-based swaps, regularly enters
into security-based swaps with counterparties, or engages in
any activity causing it to be known as a dealer or market maker
in security-based swaps; does not include a person entering into
security-based swaps for such person’s own account.

Separately Managed Accounts

Portfolios of assets or securities which are directly owned by
investors and managed by professional investment firms.

Short-Term Wholesale Funding

Short-term funding instruments not covered by deposit insurance
which are typically issued to institutional investors. Examples
include large checkable and time deposits, brokered CDs, CP,
Federal Home Loan Bank borrowings, and repos.

Supplementary Leverage Ratio
(SLR)

Tier 1 capital of an advanced approaches banking organization
divided by total leverage exposure. All advanced approaches
banking organizations must maintain an SLR of at least 3
percent. The SLR is effective January 1, 2018, and organizations
must calculate and publicly disclose their SLRs beginning March
31, 2015.

Swap

An exchange of cash flows with defined terms and over a fixed
period, agreed upon by two parties. A swap contract may
reference underlying financial products across various asset
classes including interest rates, credit, equities, commodities,
and FX.

Swap Data Repository (SDR)

A person that collects and maintains information or records
with respect to transactions or positions in, or the terms and
conditions of, swaps entered into by third parties for the purpose
of providing a centralized recordkeeping facility for swaps. In
certain jurisdictions, SDRs are referred to as trade repositories.
The Committee on Payments and Settlement Systems and
IOSCO describe a trade repository as “an entity that maintains a
centralized electronic record (database) of transaction data.”

Swap Dealer

A person that holds itself out as a dealer in swaps, makes a
market in swaps, regularly enters into swaps with counterparties,
or engages in any activity causing it to be known as a dealer or
market maker in swaps; does not include a person entering into
swaps for such person’s own account.

Swap Execution Facility (SEF)

A term defined in the Dodd-Frank Act as a trading platform which
market participants use to execute and trade swaps by accepting
bids and offers made by other participants.

Glossary

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154

Swap Future

A futures contract which mimics the economic substance of a
swap.

Swaption

An option granting the right to enter into a swap. See Option
and Swap.

Tier 1 Capital

A regulatory capital measure comprised of common equity tier
1 capital and additional tier 1 capital. See Common Equity Tier 1
Capital and Additional Tier 1 Capital.

Tier 2 Capital

A regulatory capital measure which includes subordinated debt
with a minimum maturity of five years and satisfies the eligibility
criteria in the Revised Capital Rule.

Time Deposits

Deposits which the depositor generally does not have the right
to withdraw before a designated maturity date without paying an
early withdrawal penalty. A CD is a time deposit.

Total Capital

A regulatory capital measure comprised of tier 1 capital and tier 2
capital. See Tier 1 Capital and Tier 2 Capital.

Tri-Party Repo

A repo in which a clearing bank acts as third-party agent
to provide collateral management services and to facilitate
the exchange of cash against collateral between the two
counterparties.

Underwriting Standards

Terms, conditions, and criteria used to determine the extension of
credit in the form of a loan or bond.

VIX (Chicago Board Options
Exchange Market Volatility Index)

A standard measure of market expectations of short-term
volatility based on S&P equity index option prices.

Weighted-Average Maturity (WAM)

A weighted average of the time to maturity on all loans in an
asset-backed security.

Yield Curve

A graphical representation of the relationship between bond
yields and their respective maturities.

2 0 1 7 F S O C / / Annual Report

List of Charts
4.1.1

Federal Debt Held by the Public......................................................... 19

4.1.2

10-Year Treasury Yields...................................................................... 19

4.1.3

2-Year Treasury Yields........................................................................ 20

4.1.4

Fixed Income Implied Volatility........................................................... 20

4.2.1

Advanced Economies Real GDP Growth........................................... 21

4.2.2

Real GDP Growth.............................................................................. 21

4.2.3

Euro Area Real GDP Growth.............................................................. 22

4.2.4

European 10-Year Yields.................................................................... 22

4.2.5

Contributions to Japanese GDP Growth............................................ 22

4.2.6

Japanese Consumer Price Inflation ................................................... 23

A.1

European Non-Performing Loan Ratios............................................. 24

4.2.7

Chinese Real GDP Growth................................................................ 26

4.2.8

Chinese Manufacturing and Services Growth.................................... 26

4.2.9

Chinese Equity Market (CSI 300 Index).............................................. 26

4.2.10

Chinese Credit Growth...................................................................... 27

4.2.11

Credit to the Chinese Nonfinancial Private Sector.............................. 27

4.2.12

Gross Foreign Investor Capital Inflows to EMEs ................................ 27

4.2.13

Emerging Market Gross Global Bond Issuance.................................. 28

4.2.14

Emerging Market Bond Spreads ....................................................... 28

4.2.15

Change in State and Local Government Tax Revenues ..................... 28

4.2.16

Long-Term Mutual Fund Flows: Municipal Bonds .............................. 29

4.2.17

Municipal Bond Spreads ................................................................... 29

4.2.18

Municipal Bond Issuance .................................................................. 29

4.3.1

Debt Ratios for Nonfinancial Corporations......................................... 30

4.3.2

Liquid Assets to Assets for Nonfinancial Corporations....................... 30

4.3.3

Bank Business Lending Standards and Demand............................... 30

4.3.4

Noncurrent Commercial and Industrial Loans ................................... 31

4.3.5

Rolling 12-Month Speculative-Grade Default Rate ............................. 31

4.3.6

Corporate Bond Issuance.................................................................. 31

4.3.7

U.S. Cash Corporate Credit Spreads................................................. 32

4.3.8

Distressed Ratios............................................................................... 32

4.3.9

CLO Issuance ................................................................................... 32

4.3.10

Leveraged Loan Primary Market by Investor Type ............................. 33

4.4.1

Household Debt as a Percent of Disposable Personal Income........... 33

4.4.2

Components of Consumer Credit...................................................... 33

4.4.3

Household Debt Service Ratio........................................................... 34
List of Char ts

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156

4.4.4

Owners’ Equity as Share of Household Real Estate........................... 34

4.4.5

Share of Household Debt by Delinquency Status............................... 35

4.5.1

House Prices by Census Region........................................................ 36

4.5.2

Mortgage Originations and Rates....................................................... 37

4.5.3

Mortgage Delinquency and Foreclosure............................................. 38

4.5.4

Mortgages with Negative Equity......................................................... 38

4.5.5

Purchase Origination Volume by Credit Score.................................... 38

4.5.6

Mortgage Originations by Product..................................................... 39

4.5.7

RMBS Issuance................................................................................. 39

4.5.8

Mortgage Servicing Market ............................................................... 39

4.5.9

Commercial Property Price Indices ................................................... 41

4.5.10

CRE Loans by Institution.................................................................... 41

4.5.11

Percent of Banks Tightening Loan Standards.................................... 42

4.5.12

CMBS Issuance................................................................................. 42

4.5.13

CMBS Senior Debt Spreads.............................................................. 42

B.1

CRE Capitalization Rates and Spreads ............................................. 43

B.2

CRE Loan Levels to GDP................................................................... 44

4.6.1

Nominal U.S. Dollar Trade-Weighted Index......................................... 45

4.6.2

U.S. Dollar Performance.................................................................... 45

4.6.3

Change in U.S. Dollar Exchange Rates.............................................. 46

4.7.1

Returns in Selected Equities Indices.................................................. 47

4.7.2

S&P 500 Key Ratios........................................................................... 47

4.7.3

S&P 500 Volatility .............................................................................. 47

4.8.1

Commodities..................................................................................... 48

4.9.1

Commercial Paper Outstanding......................................................... 49

4.9.2

Commercial Paper Interest Rates....................................................... 50

4.9.3

Primary Dealer Repo Agreements...................................................... 51

4.9.4

Value of the Tri-Party Repo Market..................................................... 51

4.9.5

Collateral in the Tri-Party Repo Market............................................... 51

4.9.6

Value of Securities on Loan ............................................................... 52

4.9.7

Securities on Loan Against Cash and Noncash Collateral ................. 52

4.9.8

Securities on Loan by Owner Type .................................................... 52

4.9.9

Securities on Loan by Asset Class .................................................... 53

4.9.10

Securities Lending Cash Collateral Reinvestment............................... 53

4.10.1

Normalized Futures Prices................................................................. 54

4.10.2

Market Volatility Indices...................................................................... 54

4.10.3

Normalized Futures Exchange Volume............................................... 54

4.10.4

Normalized Futures Exchange Open Interest..................................... 55

4.10.5

Normalized Futures Exchange Number of Products........................... 55

4.10.6

Automation in Futures Markets........................................................... 55

2 0 1 7 F S O C / / Annual Report

4.10.7

Automation in Options Markets ......................................................... 56

4.10.8

OTC Equity Options: Global Notional Outstanding ............................ 56

4.10.9

OTC Equity Option Share of All OTC Derivatives................................ 56

4.10.10

OTC Equity Options: Global Market Value ......................................... 57

4.10.11

Derivatives Notional Amount Outstanding.......................................... 57

4.10.12

Derivatives Notional Volume .............................................................. 57

4.10.13

Global OTC Derivatives Market.......................................................... 58

4.10.14

Interest Rate Derivatives: Global Notional Outstanding....................... 58

4.10.15

Interest Rate Derivative Compression Volume ................................... 58

4.10.16

Global Cleared OTC Interest Rate Derivatives ................................... 59

4.10.17

Credit Derivatives by Counterparty .................................................... 59

4.10.18

Global Credit Derivatives by Product ................................................. 59

4.10.19

Interest Rate Derivatives Inflation Swap Clearing................................ 60

4.10.20

FX Non-Deliverable-Forward Clearing................................................ 60

4.10.21

Global OTC Central Clearing Market Share........................................ 61

4.10.22

U.S. Central Clearing Market Share.................................................... 61

4.10.23

Margin Funds Held at FCMs.............................................................. 63

4.10.24

FCMs Holding Client Funds............................................................... 63

4.10.25

U.S. On-SEF Trading Volume............................................................. 65

4.10.26

U.S. On-SEF Trading Share................................................................ 65

4.11.1

BHC Total Assets............................................................................... 66

4.11.2

Common Equity Tier 1 Ratios............................................................ 66

4.11.3

Selected Sources of Funding at CCAR Banks.................................... 68

4.11.4

Prime Institutional MMF Funding for G-SIBs....................................... 68

4.11.5

LIBOR and Deposit Rate Spreads to OIS........................................... 68

4.11.6

Return on Equity and Return on Assets............................................. 69

4.11.7

Net Interest Margins........................................................................... 69

4.11.8

Legal Expenses at Largest BHCs ..................................................... 69

4.11.9

Non-Performing Loans....................................................................... 70

4.11.10

Loan-Loss Reserves.......................................................................... 70

4.11.11

Higher-Risk Securities ....................................................................... 70

4.11.12

Loans to Nondepository Financial Institutions ................................... 71

4.11.13

Selected High-Quality Liquid Assets at BHCs ................................... 71

4.11.14

Selected Liquid Assets at Standard LCR BHCs................................. 71

4.11.15

Weighted-Average Duration Gap........................................................ 72

4.11.16

P/B and P/E Ratios of Six Large Complex BHCs................................ 72

4.11.17

CDS Spreads of Six Large Complex BHCs........................................ 72

4.11.18

Initial and Stressed Tier 1 Common Capital Ratios............................. 73

4.11.19

Federal Reserve’s Actions in CCAR 2016........................................... 74

4.11.20

Federal Reserve’s Actions in CCAR 2017........................................... 74

List of Char ts

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158

4.11.21

FDIC-Insured Failed Institutions ......................................................... 74

4.11.22

Commercial Bank and Thrift Pre-Tax Income .................................... 75

4.11.23

U.S. Branches and Agencies of Foreign Banks: Assets ..................... 76

4.11.24

Cash Assets and Net Due to Related Entities .................................... 76

4.11.25

U.S. Branches and Agencies of Foreign Banks: Liabilities ................. 77

4.11.26

Credit Union Income ......................................................................... 79

4.11.27

Credit Union Deposits ....................................................................... 80

4.11.28

Credit Union Net Long-Term Assets................................................... 80

4.11.29

Credit Union Investments by Maturity................................................. 80

4.12.1

Number of Broker-Dealers and Industry Net Income.......................... 81

4.12.2

Broker-Dealer Revenues.................................................................... 81

4.12.3

Broker-Dealer Assets and Leverage................................................... 81

4.12.4

Large Broker-Dealer Assets and Leverage by Affiliation..................... 82

4.12.5

Insurance Industry Net Income.......................................................... 83

4.12.6

Net Yield on Invested Assets ............................................................. 83

4.12.7

Insurance Industry Capital and Surplus ............................................. 84

4.12.8

Consumer Loans and Leases Outstanding........................................ 84

4.12.9

Business Loans and Leases Outstanding ......................................... 84

4.12.10

ABS Issuance ................................................................................... 85

4.12.11

Selected ABS Spreads ..................................................................... 85

4.12.12

Agency REIT Assets and Leverage ................................................... 85

4.12.13

Agency REIT Price-to-Book Ratio ..................................................... 86

C.1

MMF Assets by Fund Type ................................................................ 88

C.2

ON RRP Take-Up by MMFs............................................................... 88

C.3

Liquid Asset Shares of Prime MMFs ................................................. 89

C.4

LIBOR-OIS Spread ........................................................................... 90

4.13.1

Net Assets of the Investment Company Industry ............................... 91

4.13.2

Monthly Bond Mutual Fund Flows ..................................................... 91

4.13.3

Monthly Equity Mutual Fund Flows .................................................... 91

4.13.4

Bank Loan Mutual Funds: Annual Flows ........................................... 92

4.13.5

High-Yield Mutual Funds: Annual Flows ............................................ 92

4.13.6

Alternative Mutual Funds: Annual Flows ............................................ 92

4.13.7

Cumulative Equity Fund Flows .......................................................... 93

4.13.8

U.S.-Listed ETP AUM ........................................................................ 93

4.13.9

Retirement Fund Assets by Plan Type ............................................... 93

4.13.10

Public and Private Pension Funding Levels ....................................... 94

4.13.11

North American Private Equity AUM .................................................. 97

4.13.12

M&A Loan Volume for Private Equity-Backed Issuers ........................ 97

4.14.1

U.S. Consumer Adoption of Payment Instruments............................. 98

2 0 1 7 F S O C / / Annual Report

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