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FALL 2013
Volume 4 Number 2

F refront
New Ideas on Economic Policy from the FEDERAL RESERVE BANK
of CLEVELAND

The Dry, Wonky,
and Utterly Essential World
of
Financial Stability Analysis
I N SIDE :

The bankruptcy of Detroit
Women, work, and war
Interview with the head of the
new Office of Financial Research

F refront

New Ideas on Economic Policy from the FEDERAL RESERVE BANK
of CLEVELAND

		FALL 2013

Volume 4 Number 2

		CONTENTS
1	President’s Message
2	Upfront

Highlights from new Cleveland Fed research on small business lending;
a little bit on Bitcoin

From the cover

4	
The Dry, Wonky, and
Utterly Essential World of Financial Stability Analysis

		
The young field of financial stability analysis is setting out to identify when
instability is near, and then what to do about it

4

10	Women, Work, and the War that Changed Both
Highlights from the new Cleveland Fed exhibit

14	Policy Watch

(Sort of) new funding for distressed neighborhoods

16	Hot Topic: What’s at Stake in the Detroit Bankruptcy?

A conversation with a Cleveland Fed economist and member of a special team
examining the condition of municipal finances

18		Interview with Richard Berner

10

The director of the new Office of Financial Research on how the office is
helping achieve financial stability, why the right incentives matter, and how
the next financial crisis is impossible to predict

24	Book Review

The Alchemists: Three Central Bankers and a World on Fire

President and CEO: Sandra Pianalto

22
16

18

The views expressed in Forefront are not necessarily those of the
Federal Reserve Bank of Cleveland or the Federal Reserve System.
Content may be reprinted with the disclaimer above and credited
to Forefront. Send copies of reprinted material to the Public Affairs
Department of the Cleveland Fed.
Forefront
Federal Reserve Bank of Cleveland
PO Box 6387
Cleveland, OH 44101-1387
forefront@clev.frb.org
clevelandfed.org/forefront

Editor in Chief: M
 ark Sniderman
Executive Vice President and Chief Policy Officer
Editor: Doug Campbell
Managing Editor: Amy Koehnen
Associate Editor: Michele Lachman
Art Director: Michael Galka
Web Designers:		
Frederick Friedman-Romell
Greg Johnson
Video Production:
Lou Marich
Tony Bialowas
Contributors:
Thomas Fitzpatrick IV
Maureen O’Connor
Jazmin Tanner
Ericka Thoms
Ann Marie Wiersch
Abigail R. Zemrock
Editorial Board:
Kelly Banks, Vice President, Community Relations
Paul Kaboth, Vice President, Community Development
Stephen Ong, Vice President, Supervision and Regulation
Mark Schweitzer, Senior Vice President, Research

PRESIDENT’S MESSAGE
Sandra Pianalto
President and Chief Executive Officer
Federal Reserve Bank of Cleveland

The burgeoning field of financial stability analysis is showing promise as an important
resource in identifying threats in the financial system.

One of the first lessons
I and my colleagues in
the Federal Reserve drew
from the financial crisis
was that both regulators
and financial institutions
lacked a clear grasp of the risks that had been building up in the
financial system. In the five years since the crisis, I have been
advocating a “macroprudential” approach to monitoring the
financial system—a way to make sure that threats to financial
stability do not go unnoticed. The Dodd–Frank Act of 2010
went a long way toward establishing this approach. It closed many
of the gaps that caused regulators to miss signs of systemic risk,
and it widened our view of the financial system. There remains,
however, plenty of room to improve the ability of both financial
market supervisors and financial institutions to identify problems
before they grow into a full-blown crisis.
The burgeoning field of financial stability analysis is already
showing promise as an important resource in this effort.
Economists, mathematicians, cryptographers, and many other
experts from different disciplines are developing new models
that aim to detect financial market risks sooner than was possible
before. They are also creating tools that can help regulators
decide whether and how to take corrective action.

Researchers at the Federal Reserve Bank of Cleveland have
been at the forefront of financial stability analysis. The Cleveland
Financial Stress Index and associated early-warning models
are among a new class of tools that financial market regulators
are increasingly relying on to spot emerging risks. Our Bank’s
expertise in this area led us to partner with the newly created
Office of Financial Research earlier this year to sponsor the
conference, Financial Stability Analysis: Using the Tools, Finding
the Data. The cover story in this issue of Forefront provides a
tour of the field of financial stability analysis through the voices
of participants at the conference. You will hear from economists
and computer scientists talking about how their efforts are helping
to ensure that that the next financial crisis can be prevented
before it ever gets started.
Also in this issue is an interview with Richard Berner, the director
of the Office of Financial Research, who talked with us after his
conference keynote address. I encourage you to visit our website,
www.clevelandfed.org/forefront for a video overview of the
conference, as well as the speech I delivered on the importance
of providing enhanced information about financial firms and
clearer expectations for the future actions of financial regulators.
We learned some painful lessons during the financial crisis, but
it is heartening that we have made tangible strides in efforts to
prevent another one. ■

F refront

1

Upfr nt

Still Squeezed:
Small Business Lending
Bank lending to small businesses has fallen significantly. Cleveland Fed
analysis shows that multiple sources contribute to the decline, and any
intervention should take all of them into consideration.
Everybody agrees that small businesses aren’t borrowing as much
as they did before the recession.
Nobody, it seems, agrees why.

loans. But at the same time, growth
might be lower because small firms
can’t get the credit they need to
expand.

Is it:

From the banks’ perspective, it’s just
a fact that lending to small businesses
isn’t as profitable as lending to large
ones. The loan values are smaller, for
starters. Also, small business loans
tend to be very heterogeneous
(one is not like the other) and cannot
go through automated approval
processes, which are cheaper for the
banks to administer. Because of their
dissimilarities, small business loans
are also difficult to securitize.

A.	Less demand by small firms
themselves?
B. 	Lack of enthusiasm by banks
to lend to small businesses of
any stripe (but especially those
deficient of collateral)?
C. Lending standards on steroids?
D.	Consolidation in the banking
industry?
The answer, a new report from the
Cleveland Fed suggests, is E: All of
the above.
“It’s not just demand. It’s not just
supply. There are multiple issues
here,” says Ann Marie Wiersch, a
policy analyst with the Cleveland
Fed who co-authored “Why Small
Business Lending Isn’t What It Used
to Be” with Scott Shane, a Case
Western University economist.
In some ways, it’s a chicken-and-egg
paradox. Small business growth is
down since the recession, which
translates into muted demand for

Meanwhile, credit standards are stiffer
in the wake of the financial crisis,
thanks in part to stepped-up scrutiny
by supervisors. And a 15-year trend of
consolidation in the banking industry
has dwindled the number of community banks, which historically have
made small business lending their
bread and butter. Gone are the days
of the loan by handshake with your
friendly neighborhood banker.

Small businesses employ roughly
half of the private sector labor force.
And that’s the reason it’s so important to carefully identify the real
sources of the small business credit
crunch—money thrown at the
wrong problems won’t help small
businesses get the credit they need,
and the whole economy could suffer
right along with them.
For example: It’s clear from the data
and anecdotal evidence that banks
have sufficient capital right now and
more than enough cash sitting on
the sidelines that could be deployed
to activities such as small business
lending. So at this moment, policies
that aim to strengthen banks’ capacity
for lending won’t help the problem.
Instead, perhaps efforts should be
aimed at addressing the widely
diverse credit needs small businesses,
or ways to make these businesses
more profitable.
—Forefront Staff

Read more
“Why Small Business Lending Isn’t What It Used to Be,” by Ann Marie Wiersch
and Scott Shane. Federal Reserve Bank of Cleveland, Economic Commentary,
August 2013.
www.clevelandfed.org/research/commentary/2013/2013-10.cfm

2

Fall 2013

A Little Bit on Bitcoin
It is part of the Fed’s job to ensure the safety and security of the US
payments system. That’s why it was one of an array of financial market
regulators that recently met with a trade group representing Bitcoin.
Recently, it was reported that a
trade group representing the fouryear-old virtual currency Bitcoin met
with an array of financial market
regulators, including the Federal
Reserve. Meetings between financial
market participants and regulators
are commonplace, but it is safe to
say that this partic­ular meeting was
one of a kind.
Bitcoin is the first digital currency
to successfully simulate cash. And
to date, it has bypassed trusted and
customary third parties like banks
to monitor its transactions.
By way of background, a bitcoin is
a basic unit of currency, but it’s
different from what you’re used
to in many ways. First, it’s a digital
currency, no paper or metal here.
Second, the supply of coins is limited
by design. Third, it’s not backed by
any of what most consider real value
—like gold, silver, or the promise of
the government.
It works like this: You buy some
bitcoins on any number of web­sites
and immediately become part of the
peer-to-peer network. As such, you—
and every other Bitcoin member—
are responsible for monitoring the
Bitcoin economy and effectively
replace that trusted third party
mentioned earlier. From there, you
can exchange, buy, or sell your
bitcoins, while the entire transaction

and verification process is carried out
collectively by the network between
computers. Safeguards such as public
and private keys, block chains, and
cryptographic “hashes” (which function like fingerprints) work together
to make sure your transactions are
secure.
There’s the rub. Some believe the way
Bitcoin works may encourage, or at
least may not discourage, illegal or
illicit activities such as tax evasion and
narcotics trafficking. The Senate’s
Homeland Security and Government
Affairs Committee has already
launched a review of how the govern­
ment regulates virtual currencies
such as Bitcoin, and in mid-August
sent a letter to several federal
agencies, including the Federal
Reserve, asking for information on
how they oversee virtual currencies.
And on August 26, 2013, Bitcoin
leaders met with US administration
officials—again, including the Fed—
to discuss Bitcoin protocol and
regulatory concerns.

It is part of the Federal Reserve’s job
to ensure the safety and security of
the US payments system. That is
why it attended the informational
session with Bitcoin representatives.
According to Federal Reserve Vice
Chair JanetYellen, the Federal Reserve
has been in communication with
banking organizations for many
years, trying to understand concerns
with online banking mechanisms.
And while some believe online banking mechanisms are not regulated,
Yellen reassures the public that the
United States has regulations that
apply to online payment providers.
Stay tuned. ■
—Forefront Staff

F refront

3

The Dry, Wonky, and
Utterly Essential World of
Financial Stability Analysis
Everybody is in favor of financial stability. But a key part of achieving it
is first knowing when instability is near, and then what to do about it.
The young field of financial stability analysis is setting out to do just that.

Doug Campbell
Editor

In November 2007, the stock market was approaching
all-time highs. The unemployment rate stood at a healthy
4.7 percent. And a variety of consumer sentiment measures
showed Americans to be in generally decent spirits.
The Cleveland Fed’s early warning systemic risk model
didn’t exist then. If it had, it would have given us a glimpse
underneath the shiny facade: lurking financial stress that
indicators commonly used at the time didn’t flag. We can’t
know whether policymakers could have used the early
warning to thwart the ensuing financial crisis, but we do
know that it would at least have put them on notice.
Much as retailers use data and algorithms to predict what
their customers will purchase, financial system supervisors
today use similar tools to spot the next potential financial
crisis. Other tools are designed to help policymakers know
what to do when crisis conditions emerge.

4

Fall 2013

On this topic, the Cleveland Fed joined with the newly
created Office of Financial Research earlier this year to
gather some of the world’s top financial stability modelers
and data junkies at the 2013 Financial Stability Analysis
Conference. And though it may have been “dry” and
“wonky,” as the Wall Street Journal put it, the conference
underlined both the importance and the amount of work
yet to be done.
The science of financial stability analysis remains imperfect.
The data is rife with holes and abnormalities. The models
are largely untested in real-life situations. The financial
system itself is so large and complex that supervisors are
at a fundamental disadvantage. “We have only begun to
fill in the gaps to assess and monitor threats to financial
stability,” said Richard Berner, director of the Treasury
Department’s Office of Financial Research, at the conference’s opening.
The old adage “you can’t manage what you can’t measure”
applies to financial stability supervision. To keep the financial
system safe, you need to first know what combinations of
conditions are likely to make the system unsafe. Then, the
job is to calculate how financial institutions can be nudged
back into less-risky behaviors.

Measuring stability: The tools
Today’s bank examiners have evolved into financial
system supervisors, and they—or at least some of them—
must be skilled in modeling techniques that capture the
financial system’s full array of interconnected activities.
They must be able to spot signs of systemic risk and then
know what to do, with enough lead time for an effective
response.
In the aftermath of the 2008 financial crisis, financial
stability analysis tools have become en vogue. They tend
to fall into several categories, including stress indexes, early
warning systems, asset price/real estate valuation models,
and contagion risk models. All of them share the goal of
trying to tell us what combinations of economic conditions
could lead to systemic risk events—replicating thousands
upon thousands of various balance-sheet and incomestatement machinations across financial institutions.
A sampling of the indicators used to monitor systemic risk:
	The ratio of household debt to GDP

■

	Capital adequacy

■

	Bankruptcy proceedings

■

	Real estate prices

■

■

Indicators of liquidity (such as liquid assets to total assets)

If that strikes you as awfully complicated, it’s because it is.
Today’s financial stability analysis tools must take into
account the interconnectedness of the financial system and
associated institutional factors. For example, the extent to
which the default of a large bank is going to affect other
players depends on the resolution regime in place in any
given country. Large and medium-sized financial institutions conduct business with one another in ways that are
complex and hard to track. Some models use algorithms
capable of pinpointing signs of overheating in different
nodes in the network.

The Cleveland approach
Let’s take a closer look at one class of tools—early warning
models. Of the growing number of early warning models,
each has its own methodology and favored data sources.
Some focus on measures of credit, others on liquidity. The
trick is figuring out which factor or arrangement of factors
is most likely to trigger a crisis, because the policy response
must fit the problem or risk creating an even bigger problem.
 o keep the financial system safe, you need to first know
T
what combinations of conditions are likely to make the
system unsafe. Then, the job is to calculate how financial
institutions can be nudged back into less-risky behaviors.
The Cleveland Fed’s early warning model (dubbed
Systemic Assessment of the Financial Environment, or
SAFE) has a couple of unique features. For one, it combines
confidential information gleaned from regular bank
examinations with publicly available data on asset prices.
Additionally, it looks for structural weaknesses in the system
that might make it particularly vulnerable to shocks. In
this context, weaknesses are certain macroeconomic
variables—asset quality, for example—that have veered
from their historical norms.
Another unique feature is how the model defines “stress.”
Typically, if looked at in one particular timeframe, SAFE
considers stress in two time periods—short term and long
term. That way, policymakers have the information to
respond immediately to imbalances that are known to create
problems relatively quickly. And they can look even further
ahead at the potential implications of imbalances known
to generate stress over a longer period (such as 18 months)
and respond accordingly.
Another way to approach it
The flip side to paying attention, like the Cleveland Fed
does, to potential shocks that may trigger stress is paying
attention to underlying vulnerabilities in the financial
system. Shocks are called shocks for a reason—they’re
surprising. Financial system vulnerabilities, on the other
hand, are easier to spot.

F refront

5

I believe we would all agree that the recent financial crisis developed, in large part, due to
both a lack of information transparency, and a lack of regulatory transparency. By ‘information
transparency,’ I mean transparency of information about individual firms and the financial system.
By ‘regulatory transparency,’ I mean transparency related to the actions of regulators. Regulators
play an important role in promoting both information and regulatory transparency. Information
transparency should reveal the risks in financial firms and markets, and regulatory transparency
should communicate how supervisors will respond to situations that threaten the financial system.
—Federal Reserve Bank of Cleveland President Sandra Pianalto,
speaking at the May 2013 Financial Stability Analysis Conference

Nellie Liang, director of the Office of Financial Stability
Research at the Federal Reserve, explains the two approaches
as the difference between assessing the likelihood of a
shock and the consequences of a shock. “Less time is
spent on debating whether or not there is an asset bubble,
and more time is spent on the consequences of what would
happen if it were a bubble and it were to burst,” Liang says.
Tools to use
Beyond anticipating or tracking systemic risk, there is a
class of financial stability analysis tools that were designed
for the express purpose of suggesting some ways for
supervisors to calm the landscape once risk is detected.
These tools recommend certain corrective actions to pop
bubbles that have emerged in places of financial excess.
These tools are called “macroprudential” because they
apply to the entire financial system, not just individual
firms. And they should be thought of as distinct from
the blunt interest rate adjustments of monetary policy.
The actions they prescribe might be as simple as raising
the floor on down payments as a means of cooling the
housing market. Or they could suggest something a bit
more complicated, such as taxing a financial firm’s shortterm borrowing.

6		
8 Fall 2013
2011

A pair of Purdue University researchers, for example, has
studied how risk propagates within the financial system,
in order to determine the best strategies for controlling it.
They suggest providing certain kinds of loans to different
institutions as a means of maximizing the welfare of the
entire network.
Another option: A firm exceeding certain numerical
thresholds might be forced to pay a tax on certain kinds
of assets—a way for supervisors to change behaviors
and incentivize firms to move into less-risky asset classes.
Or perhaps capital positions would have to go up or down
depending on a firm’s exposures.
The tradeoff is that while early intervention may well stave
off a crisis (or not), it is almost certain to come with some
costs to the financial system. First, there is the straightforward resource burden of complying with regulations.
Following that, it’s important to establish which level of
necessary compliance is the most efficient. The difference
between a 14 percent capital buffer and a 15 percent buffer
may seem inconsequential, when in fact it could mean
billions of dollars lost or gained.

For example, a pension fund may react differently to
financial stress than an insurance firm, so policies aimed
at curbing stress may have unintended consequences
on certain institutions. A policy aimed at tamping down
instability may catch one set of firms in the midst of
contraction but another in the midst of expansion. That’s
why it’s important to get financial stability analysis right—
the potential impact is powerful and far-reaching.
“The Holy Grail for me would be some ability to explain
this information with a better understanding of the behavior
of economic agents,” says Mikhail Oet, an economist at
the Cleveland Fed who helped design its early warning
model. “That would go a long way toward improving our
ability to make meaningful interpretations of what we
observe and make thoughtful contributions to potential
policies for mitigating some of the adverse conditions.”
This cost–benefit tradeoff is especially true in emergingmarket countries. The World Bank is particularly wary
of financial stress models that rely on rigid measures of
credit that underestimate the role of financial development.
The amount of indebtedness a developing country is
likely to have—and, truly, to need—as it grows is going
to be higher than that of a more developed nation. Risk
adversity should only go so far, in this case, in an attempt
to balance financial stability and financial development.
“Development has to happen,” says Martin Melecky, an
economist with the World Bank. “So how do we prevent
a financial crisis on the one hand but also enable enough
risk-taking in the private sector to support development?
Because not all risk-taking is bad, especially if it’s well managed and taken in pursuit of development opportunities.”
Moreover, one size most definitely does not fit all when
it comes to financial stability tools. The International
Monetary Fund (IMF), in a survey of tools, concluded
that the best approach was to use multiple tools. This way,
super­visors could cast a wider net to better differentiate
among exposures. In addition, the IMF paper emphasized
the importance of using tools that incorporate the impact
of policy actions on market conditions and behaviors.
Really good models will have to somehow incorporate
how policy changes or new regulatory regimes will affect
behaviors.

It must be said that macroprudential tools have their
detractors. The University of Chicago economist John
Cochrane wrote in the Wall Street Journal that such tactics
are “active, discretionary micromanagement of the whole
financial system…The US experienced a financial crisis
just a few years ago. Doesn’t the country need the Fed to
stop another one? Yes, but not this way,” Cochrane wrote.
While early intervention may well stave off a crisis (or not),
it is almost certain to come with some costs to the financial
system.

Measuring stability: The data
The tools that supervisors use to monitor the financial
system are only as good as the data that populate those
tools. And the data, in many cases, is in less than perfect
shape. Although much of it is out there in one form or
another, most is proprietary and not always accessible to
all parties in comparable forms.
“Financial data is really in a terrible state,” says Allan
Mendelowitz, a Deloitte Consulting executive and former
chief of the Federal Housing Finance Agency. Mendelowitz
was among those whose advocacy led to the creation of
the Office of Financial Research, part of whose mission is
to bring order to the current chaos of financial data.
A mish-mash
Data that can’t be standardized can’t very well be aggregated.
Data that can’t be aggregated is of little use to early warning
models. That is why good data can obviously help supervisors get more out of their models, both within their own
agencies and across them.
Data that is clear and accessible carries the added virtue of
helping private-sector players understand just how much
risk is out there. If the risk becomes more clear-cut with
better data, then market participants are more likely to
discipline themselves or others for taking on too much
risk. That was a problem in the run-up to the financial
crisis; firms entered into bets that in reality were far riskier
than the existing data had led them to believe.
Efforts are being made on two fronts—on one, improvements are being made to existing data, and on the other,
a whole new set of data that captures granular transactions
and positions is being produced.
F refront

7

A cough may be harmless, or it may spread into an
epidemic. Similarly, the failure of a regional bank may be
an isolated incident, or only the first domino to fall.
Accessibility
The data needs to be not only high quality, but also be
accessible to every financial market regulator, and (as
appropriate) to the public. The ideal would be regular
reporting of granular transaction and position data, which
would give supervisors a continuous view of both the
stock and flow of financial market operations.
Among the initiatives of the Office of Financial Research
is to establish a global “legal entity identifier” that would
make it easier to track parties to financial transactions
instantly. It’s described as a unique, alphanumeric figure
for each financial entity in the world. Somewhere down
the road, it may even encompass individual financial
instruments, not just the entities themselves. More
immediately, efforts are underway to establish “mortgage
identifiers” to keep tabs on these financial instruments
as they get sliced and diced and scattered throughout the
financial system.
Had a legal entity identifier existed in 2008, for example, it
would have been much more possible for supervisors and
risk managers to quickly assess the extent of counterparty
exposures to Lehman Brothers. Indeed, new troves of data
are available from the shadow banking sector, which had
been lightly overseen before the crisis.
The global nature of data standards is increasingly important. Though the central bank of, say, Canada, may have
ample information about exposures between Canadian
banks and some international banks, it may have much
less information about exposures within the broader set of
international banks. To have a comprehensive view of the
potential for contagion and systemic risk, that kind of data
is absolutely vital. One cannot even know how to begin
modeling the possible exposures without a decent picture
of the actual ones.

8

Fall 2013

Beyond possibly making systemic risk analysis easier,
standardized data might also somewhat relieve the burden
of regulatory compliance for many firms. Streamlined
reporting requirements could make regulatory reporting
cheaper, improve transparency for investors, and provide
new opportunities in the technology sector.
Too much already?
Some turn the problem on its head—that there is already
too much data. Perhaps “better data” is a worthy goal,
but right now the data available is overwhelmingly vast.
The challenge, as Harry Mamaysky of Citigroup puts it, is
“how to look at a small enough subset of the data so that
you can actually understand what you’re looking at but
that still captures enough of the big picture.”
At best, data limitations make early warning models and
financial stress indexes less accurate than they could be.
At worst, the data that populates them poisons their results.
If the data is standardized, accurate, and accessible, then
it’s up to the modelers to figure out how to use it.

It takes a village
One lesson from the financial crisis was that each financial
regulatory agency tends to be dominated by a single
discipline. The US Securities and Exchange Commission’s
enforcement area uses mainly attorneys. Banking supervisory agencies naturally employ bank examiners. At the
Federal Reserve, macroeconomists often prevail. To avoid
blind spots in the future, all these viewpoints will need to
be incorporated.
Consider the presenters at the 2013 conference, Financial
Stability Analysis, which included economists, accountants,
lawyers, mathematicians, cryptographers, computer
scientists, bankers, and an array of central bank regulators.
They resembled the sort of crew that central casting would
think up for a crowd of disparate wonks, but the mixing it
up was done on purpose.
Society can benefit from early warning models, but only
if they work. And to make them work, institutions must
fork over their private information. Many institutions
will look for opportunities to take a free ride on others’
disclosed information while attempting to withhold their
own. This kind of self-monitoring could reduce the quality
of the data being plugged into models.

How might private data become public? Let’s say that in
submitting information about their activities, 10 percent
of banks provide information about a certain kind of
transaction they’re involved in. To the other 90 percent
of banks, this might be news—a transaction they may
not have conducted, or one that they hadn’t realized had
become so ubiquitous. For the 10 percent of banks that
disclosed the information, business might suffer from that
kind of disclosure.
Enter cryptographers, epidemiologists
Cryptographer Adam Smith of Pennsylvania State
University illustrates the importance of a multidisciplinary
approach to sharing the right—and the right amount of—
data. One problem with making data accessible is ensuring
that it isn’t too accessible. Trade secrets should be kept
secret. But efforts to aggregate data invariably encounter
instances when confidential data could be released
inadvertently.
“Cryptography and some related fields have been thinking
a lot about data-sharing problems for many years,” Smith
says. “They’ve developed some very powerful and counter­
intuitive tools. These tools have the potential to really
change the ways regulators think of tradeoffs between
transparency and confidentiality.”
Another discipline that surprisingly has been brought into
the financial stability analysis mix is epidemiology, the
branch of medicine that studies the causes, distribution,
and control of disease in populations. Some try using
the modeling techniques developed to understand how
diseases are transmitted to predict whether certain shocks
will cause wider crises.
A cough may be harmless, or it may spread into an epidemic.
Similarly, the failure of a regional bank may be an isolated
incident, or only the first domino to fall. Supervisors must
be able to forecast with some reliability the amount of
contagion that the failure of one or more institutions will
have on the financial network.

Never finished
As monitoring improves, it becomes possible that the
activities of financial institutions will change in ways that
aren’t currently built into modeling assumptions. That
is, a shift in the structure of the market will change the
strategic considerations of market participants.

“None of these tools are ever going to be static, or can be
static,” says Stephen Ong, vice president in the Supervision,
Credit, and Statistics Department of the Cleveland Fed.
“To the extent that the financial system continues to
evolve and always will, our financial stability monitoring
tools will also need to evolve.”
Moreover, this is an effort with no end. Financial innovation
and risk-taking is more than a way of life—it’s a crucial
factor in driving economic growth. The next crisis may
rear its head in ways that current models haven’t even
considered possible. Even as disciplined reviews of method­
ological contributions are valuable, so is the imaginative,
if subjective, work of considering possibilities that aren’t
in the models right now.
Before the crisis, financial stability analysis was most likely
to be practiced only episodically, if at all, in the official and
private sectors. But the need for some benchmark measures
of stress and some recommended policy responses has
since grown acute. Today, stress indexes, early warning
systems, and macroprudential policy tools are abundant,
and the need is to accurately evaluate which tools are
best in which situations, and how to improve them with
better data.
“We are definitely making progress in this,” says the
Cleveland Fed’s Joe Haubrich. “But in some sense, the big
question is, are we going to have a quiet period like we
had after 1933?
“We didn’t have banking crises for 75 years or so. Will we
be able to keep things quiet for that long? I certainly hope
so, but at this point it’s too early to tell.” ■

Watch video clips
Find out the 10 things everybody should know about financial stability
analysis at www.clevelandfed.org/forefront
Find video coverage of the 2013 Financial Stability Analysis conference,
and the texts of all papers presented there, at
www.clevelandfed.org/events/2013/financial_stability

Read more
Find more information about SAFE at
www.clevelandfed.org/forefront/2010/04/ff_20100401_6.cfm

Also check out the Cleveland Financial Stress Index, a tool for
monitoring financial stability at
www.clevelandfed.org/research/data/financial_stress_index/

F refront

9

Women, Work, and
the War That Changed Both
Poster art from WWII contributed to a shift in
attitudes about women in the labor force and foretold
permanent changes in our society.

16
10

Spring
Fall
2013
2013

In 1942, on the front edge of World War II, the US
government launched an emotional advertising campaign
to encourage all Americans to contribute to the war effort.
As debt piled up to build factories, buy materials, and
support soldiers, the newly created US Office of War
Information began its call to action. Colorful poster art
urged citizens to buy war bonds, conserve resources, and
join the military.
A new exhibit at the Cleveland Fed, Propaganda and
Patriotism: The Art of Financing America’s Wars, shares
the powerful stories and images of America’s war bonds
and American citizens’ role in supporting the war effort.
But what started out as a propaganda campaign soon
foretold permanent changes in our society. As 10 million
men vacated factory, shipyard, and steel jobs to fight, and
as US factories were racing to match the Axis powers’
stockpiles of war material, women were left to fill the gap.
This need to fill temporary labor shortages provided the
foundation for a key demographic shift in our nation’s
labor force that still has implications today.
From 1940 to 1945, the share of women in the US workforce increased from 27 percent to nearly 37 percent.
By 1945, nearly one out of every four married women
was working outside the home, many of them making
battleships and bombers, parachutes and ammunition.
But when the war ended, so did the massive need for women
in the workforce. Military men had been promised they
would have their jobs back when they returned home,
and, accordingly, when they returned, women were
unceremoniously laid off.
Some women went back to their domestic duties, but
things had clearly changed. Poster images of women in the
workplace contributed to a shift in attitudes—a working
woman no longer seemed odd; it was the norm, even
patriotic.

F refront

11

Meanwhile, as views changed, a great technological
revolution further propelled women into the labor force.
A byproduct of the war effort, a rise in the technology of
household durables like washing machines and vacuums,
drastically reduced the time it took women to keep up
their households. With labor-intensive chores like laundry
now automated, and with the gradually falling price of
the technology, it was much more realistic for women to
participate in the labor force.

12
8

Fall 2013
2011

With the nation’s more modern view of women’s roles
and with women’s freedom from manual chores, women’s
participation in the labor force grew substantially. Since
the late 1940s, the rate of female labor force participation
has been increasing—from about 32 percent then to
about 58 percent in 2011. In fact, this trend has often been
cited as one of the most important in US labor markets. The
larger the labor force, the larger an economy’s productive
capacity. Not only are there more goods and services, but
there are more people with paychecks to buy those goods
and services—a virtuous circle of economic growth.

In the 1970s, the male participation rate, which had always
been on an upward track, began to decline slightly. Yet the
rapid increase in women’s participation more than offset
this decline; in fact, the whole rate rose. A similar situation
is happening today. Women with children now make up a
much larger share of the workforce than they did 30 years
ago, and a larger share of women are working full time and
year-round. And as in the ‘70s, the trend in men’s labor
force participation has again been declining.
The modern job market requires high skills and education
levels. Women’s higher educational attainment helps explain
their continued strong presence in the labor force. Among
women ages 25 to 64 who are in the labor force, the proportion with a college degree roughly tripled from 1970
to 2011. Higher education means higher employability.
Women have come a long way since Rosie the Riveter
(below), the poster girl who represented the millions
of American women who joined the workforce during
World War II. By making women’s role in the workforce
seem natural, war poster art did America’s economy
a favor. ■

Women’s participation in the labor force has grown substantially
Percent
100
Males, 25–54

90
80
70

Share of workforce, 25–54
Total population, 16+

60

Women, 25–54

50
40
30
1960

1970

1980

1990

2000

2010

Note: Shaded bars indicate recessions.
Sources: Bureau of Labor Statistics; authors’ calculations.

Experience the exhibit
Visit the Propoganda and Patriotism exhibit at the Cleveland Fed or
online at
www. clevelandfed.org/learning_center/exhibits/war_bonds

Read more
“Women in the Labor Force: A Databook,” by the US Bureau of Labor
Statistics. BLS Reports, February 2013.
www.bls.gov/cps/wlf-databook-2012.pdf

“What Constitutes Substantial Employment Gains in Today’s Labor Market?”
by Mark E. Schweitzer and Murat Tasci. Federal Reserve Bank of Cleveland
Economic Commentary, June 7, 2013.
www.clevelandfed.org/research/commentary/2013/2013-07.cfm

“Social Changes Lead Married Women into Labor Force,” by
Kristie M. Engemann and Michael T. Owyang. Federal Reserve Bank of
St. Louis, The Regional Economist, April 2006.
http://research.stlouisfed.org/publications/regional/06/04/social_changes.pdf

F refront

13

P licy Watch

(Sort of) new funding for
distressed neighborhoods
With the thousands of vacant homes left by the
financial crisis, the debate between demolition and
rehabilitation has been active. Funds left in the
Hardest Hit Fund (a part of the Troubled Asset Relief
Program, or TARP) are a big source of the discussion.
Ericka Thoms
Policy Analyst

In October 2008, with the US financial system on the verge
of collapse, then-President Bush signed the Emergency
Economic Stabilization Act. Since then, a debate has
lingered over how to use a portion of those funds. This
summer, the Treasury Department weighed in, at least for
two states.
Here is the story: To many Americans, the Act was
synonymous with “bailout.” Among other measures, it
established the Troubled Asset Relief Program. TARP, as it
became known, gave the Treasury authority to purchase
up to $700 billion in troubled financial instruments, including
residential and commercial mortgages as well as securities
and debt obligations. The program was intended to steady
the wobbling banking system.
TARP itself contains many components. In 2010, President
Obama created the Hardest Hit Fund (HHF) as a set-aside
for states to use for their foreclosure prevention efforts.
Eighteen states and the District of Columbia split $7.6 billion,
based on a formula determined by declines in their housing
values and by their unemployment levels. As part of the
program, Ohio received $570.4 million. As of September
2013, $270 million of that remains unused. Cue the debate.

14

Fall 2013

With the thousands of homes left vacant by the financial
crisis, the debate between demolition and rehabilitation
has been active, and with it, the debate over what to do
with those remaining HHF dollars has re-emerged.

Demolition or rehabilitation?
Ohio has more than 100,000 vacant houses. The financial
crisis left many homeowners with properties they could no
longer afford to maintain, leaving them to fall prey to
vandals and the damages of time. In many cases, those
consequences spread to the broader neighborhood: Fewer
people moved in, property values declined, and the blight
discouraged existing homeowners from making further
investments in their own properties, not knowing when or
even if the neighborhood would rebound.
Approaches to dealing with the issue of neighborhood
blight generally fall between two camps—rehabilitation
and demolition. Few would argue for an either–or approach;
some homes can be returned to their former worth, while
other structures are no longer salvageable. Arguments
for rehabilitation often focus on the historic value of some
buildings and the potential negative impact on neighborhoods with two, three, or perhaps more, empty lots on
a block.

Ohio’s congressional delegation has largely supported using
HHF dollars for demolition of blighted properties. Well over
half of the delegation is on record as in favor of reallocating
at least a portion of Ohio’s HHF resources to demolition.
Two bills were introduced, one in the House and one in the
Senate, that directed the Treasury to include demolition
costs among the approved activities under HHF. Other bills
sought to raise demolition funds through bonds. Members
of the Ohio General Assembly also weighed in to support
expanding the uses of the HHF.

Those more open to the use of demolition say that the
demand for homes in blighted areas is low and that empty
lots offer opportunities for new construction, urban
gardening, or other uses. They also believe it will cut down
on crime since vandals have less opportunity to strip houses of pipes and other valuables. Research by the Federal
Reserve Bank of Cleveland supports the use of demolition
as a neighborhood stabilization tool, in certain cases. The
Bank’s studies found that property values in many older,
industrial communities are primarily determined by the
land underneath the structures. In such instances, the
best policy to stabilize neighborhoods may be demolition,
since it’s not the house itself that has value.

Growing support for demolition
Congress established the HHF specifically to help struggling homeowners. At the time, the record number of
foreclosures threatened to worsen the economy and
potentially drive the country into a depression. Helping
homeowners with loan modifications or other assistance
allowed residents to stay in their homes and prevented the
impact of abandoned housing on neighborhoods. That’s
why the proposal to use the HHF to pay for demolition
had an added level of complexity beyond the underlying
debate between rehabilitation versus demolition.

Some housing advocates questioned using HHF dollars for
demolition. Why, they asked, would officials divert funding
from a program that helped thousands of Ohioans resolve
their financing problems? Opponents also pointed out that
separate funds exist for demolition in the Ohio Attorney
General’s $75 million demolition fund. But with assurances
that only part of the remaining money will be used for
demolition and the rest will still help homeowners facing
foreclosure, they have dropped their opposition.
So where do we stand? After approving a similar request
from Michigan, the Treasury approved Ohio’s proposal
to use $60 million of its HHF allotment to raze blighted
houses in August 2013. The Ohio Housing Finance Authority says the money will go to as many 16 counties across the
state. Questions remain about how workable the program
will be in some regions due to TARP program constraints,
but it’s certainly possible that Congress will ultimately lift
restrictions on TARP so the funds can more easily be used
for demolition. ■

Read more
Find some of the Cleveland Fed’s research on the value of land versus
structures in older, industrial communities at
www.clevelandfed.org/research/Commentary/2007/07.pdf

For more on Ohio’s foreclosure prevention efforts, visit the Ohio
Housing Finance Agency’s Save the Dream Ohio site at
www.ohiohome.org/savethedream/default.aspx

F refront

15

H t Topic
What’s at Stake
in the Detroit Bankruptcy?
The city of Detroit filed for bankruptcy on July 18, 2013. Burdened with more
than $18 billion in debt and $3.5 billion in unfunded pension obligations, Detroit
became the largest American city to seek bankruptcy protection. The Federal
Reserve is among those closely watching how courts address the situation.
To learn more about the issue, Forefront talked to Thomas Fitzpatrick IV, an
economist at the Cleveland Fed who is a member of a special team examining
the condition of municipal finances.
Forefront talks to
the Cleveland Fed’s
Thomas Fitzpatrick IV,
economist, about
the implications of
Detroit’s bankruptcy
filing.

Forefront: The Detroit bankruptcy has
captured nationwide attention. But why
is staff at the Federal Reserve looking at
it? This seems like an area outside of the
central bank’s traditional purview.
Fitzpatrick: It is. After the financial

crisis, the Federal Reserve System
established financial monitoring teams
to keep an eye on areas that might be
sources of systemic risk. One of those
areas is municipal finance.
If municipalities stopped paying their
debts, there could be ripple effects
that spread through bond insurers
or the banking system. Here’s how:
Bond insurers may come under stress
from taking over payments for the
municipalities, leading to downgrades
of other bonds they insure. About
$7 billion of Detroit’s debt is insured,
and the list of companies insuring

16

Fall 2013

municipal debt is pretty small. When
viewed in context of coinciding
municipal bankruptcies, there is enough
insured debt to raise the question
whether insurers could cover all current
and future losses. The banking system
could be another transmission channel.
The banking system might be vulnerable if distressed municipalities ceased
making loan or bond payments.
While the municipal debt market is
small relative to the banking system,
it is not necessarily evenly distributed:
Some banks may have large exposures
to specific states or municipalities.

One issue that is common to nearly all
of these bankruptcies is growing public
pension and healthcare obligations.
Consider some of the states where
cities have declared bankruptcy. In
California (Stockton, San Bernardino)
and Michigan (Detroit), state law
strongly protects public pension benefits (private pensions are governed
by a completely different set of rules).
That means that these benefits cannot
be reduced by the city or town, even
when they grow to an unaffordable
level, unless pensioners agree to the
reductions, which almost never happens.

Forefront: Detroit is, of course, not
alone in facing fiscal distress. What
financial conditions are common among
other cities facing bankruptcy?

Forefront: Given that pensions are a
large part of the problem, have courts
ever allowed public pension benefits to
be modified in municipal bankruptcies?

Fitzpatrick: Many factors come into

Fitzpatrick: Most states have strong

play. Most of the time, a handful of
episodes are to blame—a project that
went south and became very expensive
(like the sewer project in Jefferson
County, Alabama) or a bad investment
(like the derivatives purchased by
Orange County, California). And
of course, the recession amplified
everything by reducing tax receipts
and funding levels for public pensions.
In Detroit, the problem is a bit more
structural, as the city has lost so much
population, and with it, tax base.

pension protections, so in most cases
courts might be the only way to modify
benefits without pensioner consent.
However, while courts have approved
modifications to benefits when the
city and pensioners have agreed to them,
they have never forced a modification
without those agreements. The most
recent example happened in Central
Falls, Rhode Island. In July 2011,
Rhode Island passed a law that required
the state’s municipalities to make

payments on their general obligation
bonds, and put a lien on the city’s taxes
so that the tax revenue would go to the
city’s bondholders in the event of a
bankruptcy.
Shortly thereafter, Central Falls filed
for bankruptcy. The purpose of the law
was to change the negotiating posture
of Central Falls and its pensioners in
bankruptcy. Its practical effect was to
grant general obligation bondholders
the right to be paid before pensioners
in bankruptcy. The pensioners would
be paid as unsecured creditors and
would have the right to payments that
remained only after all the secured
creditors were paid. As a result, the
city and pensioners settled, agreeing
to steep cuts in pension benefits
(estimating that their benefits would
be even lower otherwise), and the
bankruptcy court approved that plan.
Forefront: So the courts won’t modify
pension benefits without approval from
pensioners?
Fitzpatrick: It’s true that courts have

never modified pension obligations
without the agreement of pensioners.
But it is definitely on the table now.
This is an issue being litigated in
California bankruptcies and that will
be litigated in the Detroit bankruptcy.
There are other questions that will
be litigated in these jurisdictions if
the courts decide that pensions can
be modified—such as their priority
relative to other creditors.
Forefront: Not that we want to stray into
hypothetical territory, but what would be
the implications if, for example, Detroit
were allowed to modify pension benefits
without employee approval?
Fitzpatrick: You would likely see

pensioners in states with strong
protections be less likely to hold out
when their municipal employer is
under stress. That’s really the purpose

of municipal bankruptcy: to solve the
holdout problem that arises when all
of your creditors except one (or a
handful) agree to take partial cuts to
what they are owed in order to make
the situation work for everyone. In
Detroit, it means that you would see
all creditors (pensioners, bondholders,
etc.) take some pretty big haircuts on
what they are owed. How big depends
on how their debts are treated. In the
case of pension benefits, this means
that the court will also have to decide
if the special protection public pensions
are offered under state law changes
the way those debts are treated in
bankruptcy. To oversimplify, if the
court decides public pension benefits
can be modified, it will then have to
decide how they can be modified.
Forefront: Alternatively, what if the city
isn’t allowed to modify benefits without
employee approval?
Fitzpatrick: If the court decides that

they cannot be modified, it means that
at least $3.5 billion of Detroit’s total
debt has to be paid in full according to
the original terms. That means there
will be less left for all the other creditors.
It is worth noting that only the public
pension benefits are protected by the
state constitution, and not the health
benefits that are also owed to pensioners
(and sum to about $6 billion of
Detroit’s debt).
Forefront: It would have been nice if
cities hadn’t gotten themselves into this
situation in the first place. In the future,
what sort of incentives might be useful
to put in place so that municipalities
more appropriately fund and structure
their pension plans?
Fitzpatrick: Generally there are three

areas of potential focus: funding,
investing, and benefit adjustments.
Most states that protect public pension
benefits do not have a law requiring
that the pensions be funded in a way
that ensures sufficient funds will be
there to pay the benefits when they

One issue that is common to nearly all
of these bankruptcies is growing public
pension and healthcare obligations.

are due. When they do have laws that
seem to require funding, courts can be
reluctant to enforce them. Most state
laws also allow actuarial assumptions
about expected rates of return that
may not reflect market rates. Creating
credible funding mechanisms could
help solve this problem in the future.
Similarly, in the past, courts have been
reluctant to enforce laws requiring
that funds for public pensions be
invested prudently. Sometimes
investment cases can be very difficult
to decide, because the line between
prudent and imprudent investments
is not always clear. Other times it is a
bit more obvious. Federal pensions
solve this problem by investing only in
US Treasuries. Such a strategy would
increase the required annual funding
of public pensions, but would also
largely immunize them against large
market fluctuations.
Finally, when large market fluctuations
do occur or when public employers are
financially stressed, there has to be some
way to modify public pension benefits
that have been earned. After all, promises
to pay can be enforced only if the
promisor has the money to pay. ■

Read more
“	Public Pensions Under Stress,” by John Carlson.
Federal Reserve Bank of Cleveland, Forefront,
Spring 2012.
www.clevelandfed.org/forefront/2012/winter/
ff_2012_winter_08.cfm

F refront

17

Interview with
Richard Berner
O

f all the policymaking
holes revealed by the
financial crisis, few were
as glaring as the dearth of
reliable data on the health
of the financial system.
In response, Congress
authorized creation of the
Office of Financial Research
(OFR), a unit of the Treasury
Department. Its job is to
find ways to improve the
quality of financial data
and to help policymakers
perform more sophisticated
analyses of the financial
system as glaring as the
dearth of reliable data on
the health of the financial
system.
The Senate confirmed
Richard Berner as the OFR’s
first director in January 2013.
He comes to the job honestly,

18

Fall 2013

with a career steeped in
financial stability and economic analysis, beginning
with the Federal Reserve
Board and including stops at
a forecasting firm and Wall
Street investment banks.
Berner knows financial data
and he knows we don’t have
enough good data—yet.
Berner was a keynote
speaker at the Federal
Reserve Bank of Cleveland’s
joint conference with the
Office of Financial Research
on financial stability analysis
on May 30, 2013. Mark
Sniderman, the Cleveland
Fed’s executive vice president
and chief policy officer,
interviewed Berner at the
Federal Reserve Board in
Washington, DC. An edited
and condensed transcript
follows.

It’s exciting, exhilarating, and a huge challenge because you’re going
where nobody’s gone before. And hopefully boldly, as the saying goes.

Sniderman: Thank you for your willing-

Sniderman: What is it like to have to

Sniderman: Have you come across any

ness to sit down and join me today.

start up an office—to start essentially

helpful models, either in other US indus-

Berner: Thank you for having me.

from scratch—like you are doing with

tries or internationally? Or is this really

the OFR? How do you get organized?

a one-of-a-kind effort?

Sniderman: How did the Office of

Where do you start?

Berner: It is one of a kind, but there are

Berner: It’s exciting, exhilarating,

other things or other entities that have
some similarities to what we’re doing.
Take, for example, the Congressional
Budget Office (CBO). That was started from scratch in 1974 to serve the
needs of Congress, to have a particular
mandate, to do analysis of budgetary
issues for the benefit of Congress, and
to come up with quantitative metrics
by which they could score particular
bills and initiatives.

Financial Research (OFR), a brand new
office, come to be a part of the Dodd–
Frank Act, and what’s the OFR’s mission?
Berner: In the wake of the crisis, we

saw that there were very significant
gaps in our knowledge of how the
financial system worked and in our
ability to measure financial activity.
To fill those gaps, Congress created the
Financial Stability Oversight Council
(FSOC) and the OFR, both within the
Treasury. The OFR’s mission is to serve
the needs of the FSOC in assessing
and monitoring threats to financial
stability and to improve the quality
and scope of financial data for the
FSOC and its member organizations.
Sniderman: This might not be such a
great analogy, but the image of a roving
linebacker comes to mind. The idea
that there’s someone to spot areas of
vulnerability within the financial system.
Why didn’t Congress give existing agencies
more authority to accomplish this?
Berner: It’s not a bad analogy. It’s not

In consultation with the Treasury
and, more broadly, in consultation
with the other members of the FSOC,
whose needs the OFR serves, we
started to develop that vision for how
it would function. It requires a culture
of collaboration, engagement, and
accountability. The OFR also needs
trust within the organization and
from the other agencies of the FSOC
to function. And this all takes time.
This is not something that can happen
overnight. It’s not exactly like the
pyramids, but nonetheless, it’s something that does require patience and
persistence to really put together and
stick to that vision, particularly when
others have a lot of doubts about
whether you’re going to get there.

Sniderman: That’s a particularly apt
example. It is pretty remarkable that
for about 40 years, CBO has clearly
been able to maintain a reputation for
bipartisan objectivity.
Berner: Exactly. And that goes back

to the first director, Alice Rivlin. I
happened to run into Alice shortly
after I took this job and I asked, “What
advice would you give me to set up the
OFR, since you did the same thing, in
effect, at CBO?” She said, “Just do it.”
That was her advice. Worked for Nike,
worked for her, works for me. Obviously there are mid-course corrections
as you grow and there are nuances
as you evolve; but having some core
principles, values, and a foundation for
the mission is really key.

BRITT LECKMAN

our mission to duplicate or replicate
what other organizations in the FSOC
are doing. Rather it is to fill in the gaps.

and a huge challenge because you’re
going where nobody’s gone before.
And hopefully boldly, as the saying
goes. Boldness is necessary because
you need to have a vision of what you
want to accomplish. The congressional
statute provides the framework for
how the OFR should be set up, what
its mission is, and so on. But within
the lines of the statute, there’s a lot of
room for interpretation and inserting
a personal vision.

F refront

19

Richard Berner
Position

Awards

Director, Office of Financial Research

Forecasting awards from Blue Chip Economic Indicators, the Wall Street Journal,
Market News, and the National Association for Business Economics. He was also
awarded the 2007 William Butler Award for Excellence in Business Economics.

Former Positions

Co-Head of Global Economics at Morgan Stanley; Chief Economist at Mellon Bank; Economist for Morgan Stanley, Salomon
Brothers, and Morgan Guaranty Trust Company; Director of the
Washington, DC, office of Wharton Econometrics

Education

Harvard College, BA
University of Pennsylvania, PhD

I happened to run into Alice [Rivlin, first director of the Congressional
Budget Office] shortly after I took this job and I asked, “What advice
would you give me to set up the OFR, since you did the same thing,
in effect, at CBO?” She said, “Just do it.” That was her advice. Worked
for Nike, worked for her, works for me.
It is interesting that Congress set us
up as an office that doesn’t have any
policy responsibility. The objectivity
factor is really important because it
separates us from the policymakers
who do have that responsibility.
We don’t have to defend the policies.
In fact, it’s our mandate to evaluate the
policies, particularly stress tests, but
also to look at the effectiveness
of the policy tools we’re developing
to achieve financial stability. The
objectivity and the integrity of our
research are core principles that I tried
to lay out from the start and that we
want to really build into the culture
of the organization.

20

Fall 2013

Sniderman: Let’s move back to economics. There was a time when most
economists said the best regulator was
market discipline. Has the financial
crisis proved those economists wrong?
Has market discipline lost its standing in
the world of big ideas, or is the opposite
the case? Has the pendulum swung too
far with too much regulation? How do
we balance these ideas?
Berner: In some ways, I think that

dichotomy is a false one because
market discipline really hinges on
the incentives you put in front of
market participants. If they have the
wrong incentives to take on too much
leverage or risk, or if our policies and
regulations depress the price of risk,
they’re going to want more of it. In
the buildup to the financial crisis,
there were incentives for people to
write credit and liquidity puts (an
agreement in which one firm agrees
to provide a counterparty cash or
equivalent), to write options, and to
make funding really cheap, which all
contributed to its severity.

One of the three key mandates of the
FSOC is to restore market discipline,
which implies it was lacking. The
reason it was lacking was people were
provided with the wrong incentives.
Market discipline is great when it
works the right way, but you have to
provide the right incentives: to do the
right thing; to self-insure; to recognize
that if they’re going to take on more
risk, they may take losses in accepting
that risk; and that they understand
how to analyze, to measure, and to
manage that risk. Those are all very
important factors in thinking about
how market discipline should work.
Sniderman: Has there been an evolution
in how both economists and regulators
think about financial stability?
Berner: There has. While there was

some attention paid to examining the
financial system as a whole prior to
the crisis, after the crisis that focus is
almost universally embraced. There
was also an assumption that if we
had economic stability, then financial
stability would follow—like in the
discussion of the Great Moderation,
where reducing business-cycle volatility
was thought of as a way to promote
economic stability. But it didn’t quite
work that way.

Not paying attention to financial
stability needs and being complacent
led people to assume we didn’t have
to worry too much about it because
we had a benign period. From my
perspective, that’s exactly the time that
we should be vigilant and watchful
for signs that people might be taking
on extra risk because they get paid
to do it. There has been a lot of good
research recently that supports the
claim that when volatility is low and
the price of risk is low, people are
going to take on more risk, whether
it’s through leverage or maturity
transformation or other means. That’s
when you start to see a buildup of
risks in the system. So there’s been a
change in thinking in that respect.
Sniderman: And maybe where the
risk–return tradeoff was thought to
be better?
Berner: Indeed. If you didn’t have capital

requirements, if you didn’t have all
these things that are restricting returns
and that are building in cushions of
safety, the returns are higher, but so are
the risks. So how do we adapt the idea
that we need to limit those risks and
the buildup of those risks in markets?
In the paper, we talked about the idea
of minimum haircuts in repo markets,
which are key for funding securities
financing—so-called securities
financing transactions. The implemen­
tation can be tricky, but it’s something
worth looking at.

Sniderman: Do you think that some
of this is because in some cases people
realize that they may have taken on
excessive risk but think that they’ll be
able to get out of the door faster than
everybody else?
Berner: That’s part of it, sure. But I

Sniderman: Recently, you’ve researched
how a systemic regulator might operate
to avoid a replay of the financial crisis
period. One thing you and your co-authors
identified was a problem with fire sales
in magnifying the crisis. How do you
think we could head those off in the
future?
Berner: Fire sales result from two things.

One is that investors get complacent
and assets become overvalued, so
people pile into assets because they’re
paid to do that. And second, they may
try to enhance returns using leverage
that adds to risk and to the resulting
unwind of that over-valuation. Even­
tually a shock comes along, particularly
if leverage or risks that are asymmetric
in nature have been used. Then, all
of a sudden, the price of the assets
goes down, the risks get unwound,
participants might be subject to margin
calls if they’ve embraced leverage
significantly. All those things magnify
the impact of the initial shock. That’s
the origin of fire sales. So we must
determine how to limit the incidence
of fire sales or, on the other side of the
balance sheet, runs.

think it’s important that, if you work
in financial markets, then it’s under­
stood that people in theory look ahead
and manage risks well, but you always
have to remember what they’re being
paid to do. When people are being paid
to take on more risks, then it’s very
tempting to ignore what those risks
might be in the future because of the
short-term gain. That’s a very important
psychological or cultural factor that
we always need to be mindful of.
So what do we need to do to make the
system more resilient and to limit the
buildup of risk? One of the things we
wrote about in the piece that you’re
referring to is the fact that there was
a bank-centricity to our prudential
regulations. We focused on capital
requirements and we focused on
liquidity requirements in banks or
insured depository institutions. We
didn’t focus so much on what was
going on in markets, but of course the
regulations we had in those institutions
prompted the migration of financial
activity outside of those institutions
toward the so-called shadow banking
system that, properly defined, involves
the creation of money-like liabilities.

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21

Sniderman: At the OFR, you’ve laid out
a framework for analyzing threats to
the financial system. Can you point to
one or two areas in the framework that
are sometimes overlooked and why you
think they’re so important?
Berner: One of our goals is to fill the

Sniderman: A lot of stress indexes
actually show relatively low financial
stress. Is this precisely the time to pay
closer attention?
Berner: That’s exactly right. Because

of the work of Hyun Shin, HughesRogers Professor of Economics at
Princeton University, and others,
we’ve discovered that low volatility
reduces the price of risk, which is a key
ingredient in option pricing. When
volatility is low and spreads are narrow,
it gives people incentive to take on
more risk. That’s exactly when you
should be watching for a buildup of
leverage, a buildup of maturity transformation, a buildup of risk in other
ways. That’s exactly when we need to
be more vigilant. There’s the old adage
that bankers make their best loans in
the worst of times. And the flip side of
that is they make their worst loans in
the best of times. Same story.

22		

Fall 2013

gaps in the data and try to find out
where we need to improve both their
scope and their quality, so we can do
the analysis in a way that has integrity
and rigor. Before the financial crisis,
we clearly couldn’t do that. We didn’t
have enough high-quality data to do
that analysis. So data and data standards
are key areas for improvement. If you
assume your parameters because of
insufficient data, that may dictate what
the outcome is. That’s important because
often you draw those parameters from
the historical pattern. History may not
be replicated in the future. There may
be regularities, but there may also be
new things that arise and need to be
accounted for.
One of the things that we try to
emphasize, which is very difficult to
deal with but which we need to think
about hard, is that the financial system
is constantly evolving and changing.
It’s evolving and changing incentives
in response to changes in regulation.
Recent changes to regulation will
likely change the way that people seek
returns and how they manage their risk.

These issues have some fundamental
uncertainty attached to them, so they
may be unknowable to some extent,
but if we think hard about them and
talk to market participants about what
they’re doing, then we can understand
better where the system is going, as
opposed to where it’s been. I don’t think
we can predict financial crises and I
don’t think we know where the next
shock is going to come from. Our goal
is to make the system stronger, but
in order to make the financial system
stronger, we have to understand where
those vulnerabilities are.
Sniderman: Do you think that for some
companies, the financial crisis was a
wake-up call for them to improve their
internal systems and data management,
quite apart from any regulatory
requirements?
Berner: I think that the crisis was

certainly a wake-up call in that respect.
And it was an important wake-up call
in one other key respect: risk management practices. The position of chief
risk officer (CRO) was created to help
manage desk or business-unit activity,
but they really didn’t look across the
enterprise to manage risk across the
whole company with all of its business
units. I think the financial crisis really
changed that, both in terms of the
way we think about the best practices
for risk management and in the kind
of governance that’s used. The CRO
now reports to the CEO and has a lot
more power, which is a totally different
perspective from the way that it used
to be. So the crisis has galvanized
people to think about risk practices a
different way.

Sniderman: Let’s talk about cyclical
and structural ways of thinking about
stress. These almost seem like terms
borrowed from labor economics. How
is that a useful way of approaching
financial stress?
Berner: I think it’s quite useful because

there are different kinds of threats
in the financial system that require
different analytical tools to deal with.
The classic example of a cyclical threat
is a buildup of debt or a buildup of
leverage in the financial system, whether
it’s on the balance sheets of households,
businesses, or financial institutions. The
credit cycle is an inherently cyclical
phenomenon. There are structural
features that add what’s called procyclicality to the financial system. They
magnify the impact of a shock and push
the system in one direction, making
it more severe. That pro-cyclicality
is a combination of these structural
features and the cyclical result. In
order to remedy that, the structural
vulnerability needs to be addressed.
A good example of a structural vulnerability in our system is the runnability
of money funds. Now a run, you could
say, is a cyclical phenomenon. But
money funds, under certain circumstances, will intrinsically be runnable
because you’re promising—under
current circumstances—a fixed, netasset value, redeemable on demand
for assets that are on the other side of
the balance sheet and fluctuate in value.

In the buildup of the recovery phase or in the boom phase, there is a
sense of market euphoria, a sense that people can get paid to take on
more risk. But when the deleveraging comes—when the assumptions
change and asset prices go down—the deleveraging is swift and the
impact on the economy is sudden.
If there’s a shock and the value of those
assets goes down, people begin to
distrust your commitment to credibly
make good on your promise and they’ll
pull their money out. That’s a run.
Sniderman: And this is why the FSOC
has proposed certain structural reforms?
Berner: Indeed. It’s why the FSOC and

now the SEC in its analysis of money
funds acknowledges that it’s a risk.
That’s why the FSOC’s and the OFR’s
annual reports have all stressed this.
In fact, we’ve looked at the degree to
which there was risk in the money
fund universe and we found that it’s
probably more extensive than people
realize.
We know that the financial cycle often
takes longer to build than even an
economic cycle. You can have a couple
of recovery and recession scenarios
during the buildup of risk in the
financial system. In the buildup of the
recovery phase or in the boom phase,
there is a sense of market euphoria, a
sense that people can get paid to take on
more risk. But when the deleveraging
comes—when the assumptions change
and asset prices go down—the
deleveraging is swift and the impact
on the economy is sudden. We haven’t
done a good job thinking of metrics
to calibrate financial cycles, even if we
look at debt-to-GDP ratios or other
aggregate metrics, because there are so
many dimensions. That’s something
we can probably do more work on.

Sniderman: In the wake of Dodd–Frank,
some critics complain regulation reform
is happening too slowly. How should we
judge the right pace of reform?
Berner: When I think about pace, I

think that the real balance is between
getting things done and getting them
done right. As I think about how we
went about setting up the OFR from
scratch, some of the things we’re setting
up in Dodd–Frank are also from
scratch. We want to be thoughtful
about the way we do it and we want
to get it right. We want to avoid blind
alleys. We would rather be deliberate
and thoughtful to get it right than be
hasty and get it wrong. ■

Watch video clips from this interview
www.clevelandfed.org/forefront

Read more
Find the full interview at
www.clevelandfed.org/forefront

“	The Macroprudential Toolkit,” by Anil K. Kashyap,
Richard Berner, and Charles A.E. Goodhart.
IMF Economic Review (2011) 59, 145–61.

F refront

23

Book Review

The Alchemists:
Three Central Bankers
and a World on Fire
by Neil Irwin
Penguin, 2013

The Alchemists is a book about power—who has it,
and what they choose to do with it. In this account,
three central bankers use their collective powers to
avert a potentially catastrophic global meltdown. Our
reviewer says this book is “definitely worth reading.”

Reviewed by
Abigail R. Zemrock
Executive Communications Coordinator

24

Fall 2013

Magically transforming a valueless substance into precious
silver or gold—that’s alchemy, the kind of sorcery one
expects to encounter in a Disney movie or a J.K. Rowling
novel. It’s not a theme that’s typically mentioned in the realm
of economics, yet it features prominently in The Alchemists:
Three Central Bankers and a World on Fire by Neil Irwin.

the European Central Bank. Irwin introduces this trio as
“a brotherhood of uncommon intimacy…doing a job that
most people don’t quite understand and more than a few
regard as sinister.” He weaves together elements of their
individual stories until they are deeply intertwined—not
unlike the complex economies they serve.

Irwin, a Washington Post columnist who has profiled some
of the world’s leading economists, presents an engaging,
fast-paced account of recent experiments in financial crisis
management. In true journalistic style, he poses plenty of
questions but offers relatively few answers and he takes
care not to identify too strongly as either a central bank
supporter or a skeptic, though we do see moments where
he clearly sympathizes with his characters: Ben Bernanke,
Federal Reserve chairman; Mervyn King, governor of the
Bank of England; and Jean-Claude Trichet, president of

In the opening pages, readers revisit the morning of
August 9, 2007, a seemingly ordinary Thursday that would
prove to be the epicenter of the implosion. Irwin shadows
his trio through the rapid-fire disruptions of that day, bearing
witness to Bernanke’s frenzied conference calls with his
Fed colleagues, and King’s and Trichet’s abandonment
of vacation plans as they rush to address the turbulence.
Irwin’s approach is intentionally voyeuristic, and it’s
successful in revealing the human side of a job that is often
portrayed as anything but.

The author then backtracks a few centuries, serving up
pivotal moments in financial history that bring context
to the increasingly complicated roles that central banks
play in modern times. Among other milestones, we revisit
seventeenth-century Swedish currency, the British banking
crisis of the mid-1800s, and the formation of the euro zone
in the latter part of the twentieth century. Irwin’s backstory
culminates in 2005, in Jackson Hole, Wyoming, where his
protagonists toast the Great Moderation, blissfully unaware
that something nefarious was beginning to crumble the
foundation of an enormously intricate house of cards.
Irwin’s backstory primes readers to notice striking parallels
between the past and present—for example, his depiction
of then‒New York Fed President Tim Geithner’s after-hours
brainstorming sessions deliberately mimics an earlier
description of J.P. Morgan’s late-night coalition of banking
executives during the Panic of 1907. The point is evident:
Finding success in modern monetary policy is as much
about history as it is about economics.
Irwin expertly rounds out his subjects, showing them as
heroes and villains—some much more pointedly than
others. Take former Fed Chairman Paul Volcker, for
example: He’s described as “a giant of a man…responsible
for the premeditated and cold-blooded murder of millions
of small businesses.” Jean-Claude Trichet is the “wily
strategist of European unity,” with the innate ability to
persuade reluctant colleagues. Irwin presents Bernanke
as a different type of hero. Clearly the book’s central figure,
Bernanke is framed as a thoughtful, consensus-seeking
scholar, a quietly contemplative man with the extraordinary
ability to be in the right place at the right time—the Clark
Kent of macroeconomics. Irwin acknowledges Bernanke’s
extensive academic background and deep-rooted connection
with history as instrumental in his decision making during
the crisis: “It was sheer luck that the Federal Reserve had
a chairman so well prepared for the moment.”
Throughout the book, the author poses tough questions to
challenge our perceptions of the modern financial system
and the increasingly complex roles of central bankers in
it. Is money an abstract idea and not a physical object?

What gives the public confidence in money, and why do
we assign particular people seemingly unlimited control
over it? How should central banks balance secrecy with
transparency, independence with accountability, bold
action with careful deliberation? Irwin notes that these
institutions may appear to be secretive syndicates but
they generally aspire to do what’s best for their nations’
economies, regardless of external influences.
Clearly the book’s central figure, Bernanke is framed
as a thoughtful, consensus-seeking scholar, a quietly
contemplative man with the extraordinary ability to be
in the right place at the right time—the Clark Kent of
macroeconomics.
In years to come, the unconventional policy actions taken
during and after the recent crisis may prove to be nothing
more than a philosopher’s stone—an attempt to create
money from nothing. Irwin devotes a chapter to the potential
ramifications of this monetary sleight-of-hand. “You don’t
need a crazy potion to create value where there was none,”
he explained in an interview with NPR. “If you have a
central banker and a printing press, and the authority of the
state imbued in both, you can create money from thin air.”
Above all else, The Alchemists is a book about power—
who has it, and what they choose to do with it. In this
account, three central bankers use their collective powers
to avert a potentially catastrophic global meltdown. By
working in tandem and reinterpreting their respective
authorities as lenders of last resort, these seasoned crisisfighters arguably prevented a bad situation from turning
much worse. And, as Irwin puts it, “a catastrophe averted
is no small thing.”
Medieval alchemists never did figure out how to create
gold from everyday materials, and that may be the true
moral of Irwin’s story: Sometimes an outcome is best
defined by what doesn’t happen. ■

F refront

25

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