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Federal Register / Vol. 74, No. 64 / Monday, April 6, 2009 / Notices
STATUS: A portion of the meeting will be
in Open Session and the remainder of
the meeting will be in Closed Session.
MATTERS TO BE CONSIDERED:

Open Session
1. Docket No. 02–15—Passenger
Vessel Financial Responsibility—
Request of Commissioner Brennan.
2. Docket No. 06–06—EuroUSA
Shipping, Inc., Tober Group, Inc., and
Container Innovations, Inc., et al.
3. Docket No. 06–09—Parks
International Shipping, Inc., Cargo
Express International Shipping, Inc., et
al.
4. Docket No. 07–04—Norland
Industries, Inc., Linna Textiles
Manufacturing Limited, Medcorp
Distributors, Inc., Malan Garment
Limited, et al. v. Reliable Logistic, LLC
and Washington International Insurance
Company.
5. Docket No. 02–08—Odyssea
Stevedoring of Puerto Rico, Inc. v.
Puerto Rico Ports Authority; Docket No.
04–01—International Shipping Agency,
Inc. v. the Puerto Rico Ports Authority;
and Docket No. 04–06—San Antonio
Maritime Corp. & Antilles Cement Corp.
v. Puerto Rico Ports Authority.
6. FMC Agreement No. 011982–003:
The Evergreen Line Joint Service
Agreement.
Closed Session
1. FMC Agreement No. 201143: West
Coast Marine Terminal Operator
Agreement.
2. Staff Briefing Regarding Global
Economic Downturn and Potential
Impact on Stakeholders.
3. Termination of Escrow Account
Establishing Section 3 Public Law 89–
777 Coverage with respect to
Abercrombie and Kent, Inc.
4. Internal Administrative Practices
and Personnel Matters.
CONTACT PERSON FOR MORE INFORMATION:

Karen V. Gregory, Secretary, (202) 523–
5725.
Karen V. Gregory,
Secretary.
[FR Doc. E9–7712 Filed 4–2–09; 8:45 am]
BILLING CODE

FEDERAL RESERVE SYSTEM

pwalker on PROD1PC71 with NOTICES

[Docket No. OP–1354]

Federal Reserve Bank Services Private
Sector Adjustment Factor
AGENCY: Board of Governors of the
Federal Reserve System.
ACTION: Notice and request for public
comment.

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SUMMARY: The Board requests comment
on proposed modifications to its method
for calculating the private-sector
adjustment factor (PSAF). The PSAF is
part of the Board’s calculation, as
required by the Monetary Control Act of
1980 (MCA), to establish the fees that
Federal Reserve Banks (Reserve Banks)
charge for certain financial services
provided to depository institutions
(DIs). Consideration of a new PSAF
methodology was prompted by the
reduction in clearing balances held by
DIs at Reserve Banks following the
Board’s recent implementation of the
payment of interest on required reserve
balances and excess balances held at
Reserve Banks, as well as by long-term
changes in the structure of the market
for providing payment services to DIs.
The existing PSAF calculation model,
which is built upon a correspondent
bank framework, is driven primarily by
the level of clearing balances held by
DIs at Reserve Banks. The expected
continued reduction in clearing
balances will make the current PSAF
calculation methodology less
meaningful. Accordingly, the Board
requests comment on the prospective
need to change its methodology and its
proposal to replace the current
correspondent bank model for
calculating the PSAF with a publicly
traded firm model as described in this
notice. If approved, use of this new
model could be reflected in priced
services fees as early as 2010.
DATES: Comments must be submitted on
or before May 29, 2009.
ADDRESSES: You may submit comments,
identified by Docket No. OP–1354, by
any of the following methods:
• Agency Web Site: http://
www.federalreserve.gov. Follow the
instructions for submitting comments at
http://www.federalreserve.gov/
generalinfo/foia/ProposedRegs.cfm.
• Federal eRulemaking Portal: http://
www.regulations.gov. Follow the
instructions for submitting comments.
• E-mail:
regs.comments@federalreserve.gov.
• FAX: 202/452–3819 or 202/452–
3102.
• Mail: Jennifer J. Johnson, Secretary,
Board of Governors of the Federal
Reserve System, 20th Street and
Constitution Avenue, NW., Washington,
DC 20551.
All public comments are available on
the Board’s Web site at http://
www.federalreserve.gov/generalinfo/
foia/ProposedRegs.cfm as submitted,
except as necessary for technical
reasons. Accordingly, your comments
will not be edited to remove any
identifying or contact information.

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Public comments may also be viewed
electronically or on paper in Room MP–
500 of the Board’s Martin Building (20th
and C Streets, NW.) between 9 a.m. and
5 p.m. on weekdays.
FOR FURTHER INFORMATION CONTACT:
Gregory L. Evans, Deputy Associate
Director (202/452–3945), Brenda L.
Richards, Manager (202/452–2753),
Jonathan Mueller, Senior Financial
Analyst (202/530–6253), or Rebekah
Ellsworth, Financial Analyst (202/452–
3480); Division of Reserve Bank
Operations and Payment Systems.
Telecommunications Device for the Deaf
(TDD) users may contact 202/263–4869.
SUPPLEMENTARY INFORMATION:
I. Background
Under MCA, the Federal Reserve
Banks must charge fees to DIs for certain
financial services, known collectively as
‘‘priced services,’’ so as to recover, over
the long run, all direct and indirect
costs actually incurred in providing
these services as well as the imputed
costs that would have been incurred had
the services been provided by a privatesector firm.1 2 MCA specifically
identifies certain imputed costs that
must be recovered via priced services
fees, including taxes and return on
equity (profit).
To set priced services fees in
accordance with the requirements of
MCA, the Board not only must estimate
all actual direct and indirect costs
incurred in providing priced services
but also must impute costs that the
Reserve Banks do not incur but would
incur as private-sector entities. In
determining a methodology for
imputing these costs, the Board
recognizes that there is no perfect
private-sector proxy for the Reserve
Bank priced services, but seeks a
methodology that is theoretically sound
and represents a reasonable
approximation of the costs the Reserve
Banks would incur if operating as
private-sector providers. Because of the
similarity between the services provided
by Reserve Banks and many of the
services offered by private-sector
correspondent banks, the Board
historically has derived these imputed
costs, collectively known as the PSAF,
and offsetting imputed revenue, known
as net income on clearing balances
(NICB), using a correspondent bank
model. The PSAF and NICB are
estimated annually, and the resulting
net cost is incorporated each year when
1 These priced services include the check,
automated clearinghouse, Fedwire® Funds, and
Fedwire® Securities (for activity not related to
Treasury securities) services.
2 12 U.S.C. 248a(c)(3).

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Federal Register / Vol. 74, No. 64 / Monday, April 6, 2009 / Notices

setting priced services fees and
measuring cost recovery.3
The Clearing Balance Program
The Reserve Bank clearing balance
program was developed in connection
with the implementation of MCA’s
requirement to establish fees for priced
services. This program allows DIs to
hold at Reserve Banks an agreed-upon
level of clearing balances which serve
several purposes, including facilitating
settlement of transactions, protecting
against overnight overdrafts, and paying
for priced services through the
generation of earnings credits. The
Reserve Bank clearing balance program
is largely modeled after similar
programs offered by private-sector
correspondent banks, wherein
respondent banks maintain balances
with their correspondents for some or
all of the purposes listed above.
Under the Reserve Bank clearing
balance program, a participating DI
agrees to set and maintain a targeted
minimum average clearing balance,
known as the DI’s contractual clearing
balance, over a set period. A DI may
hold balances in excess of its
contractual clearing balance and is
charged for deficiencies below the
contracted minimum.
A DI accrues credits, known as
earnings credits, on its contractual
clearing balances (not on excess
balances) held at a Reserve Bank at a
rate currently equal to 80 percent of the
13-week moving average of the
annualized coupon equivalent yield of
the three-month Treasury bill. Earnings
credits can only be applied toward
priced services fees, and unused credits
expire if not used within one year.

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Calculating the PSAF
The Board’s method for calculating
the PSAF begins with developing a pro
forma priced services balance sheet
based on the projected average book
value of Reserve Bank assets and
liabilities to be used in providing priced
services during the coming year.4
Additional elements on the priced
services balance sheet are imputed as if
the priced services were provided by a
hypothetical private-sector
correspondent bank. For example, a
private-sector correspondent bank
3 In 2008, actual direct and indirect costs
represented approximately 88 percent of total
priced services costs and the PSAF represented the
remaining 12 percent. The PSAF constituted an
estimated $108.3 million of the overall costs
recovered by priced services activities, and was
offset by approximately $101.7 million of NICB.
4 The 2007 priced services balance sheet can be
found in the Federal Reserve Board’s 2007 Annual
Report at http://www.federalreserve.gov/boarddocs/
rptcongress/annual07/sec2/c3.htm#nl12.

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would be able to use the balances that
its respondents deposit with it as a
funding source for investments.
Accordingly, the Board imputes
investment income on clearing balances
held at Reserve Banks based on an
imputed portfolio of interest-bearing
assets. Similarly, because private-sector
correspondent banks are required to
hold some portion of their deposit
balances as vault cash or as balances at
a Reserve Bank, the Board imputes a
reserve requirement as a percentage of
clearing balances. The imputed
investment of clearing balances and the
imputed reserve requirement both
appear as assets on the priced services
balance sheet.
The liability and equity components
of the priced services balance sheet
consist of clearing balances, short- and
long-term liabilities related to providing
priced services, imputed debt (if
necessary), and imputed equity. The
level of clearing balances on the priced
services balance sheet increases or
decreases at the discretion of the DIs
maintaining those balances and
provides a source of long-term financing
for priced services assets.5 Using the
correspondent bank model results in
imputed debt only when core clearing
balances, long-term liabilities, and
equity on the priced services balance
sheet are not sufficient to fund longterm assets; or when an interest rate
sensitivity analysis indicates that a 200
basis point change in interest rates
would change the percentage of priced
services costs recovered (cost recovery)
more than 2 percentage points. To
satisfy the FDIC requirement for a ‘‘wellcapitalized’’ institution, equity is
imputed at 5 percent of total assets.6
The imputed costs of the PSAF are
derived from the priced services balance
sheet. A target return on equity (ROE)
5 Using clearing balances as a financing source is
consistent with private-sector correspondent banks’
use of their respondent balances to fund short- and
long-term assets. In the correspondent bank model
only the portion of clearing balances that has
remained stable over time (core clearing balances),
historically set at $4 billion, is used to fund longterm assets on the priced services balance sheet.
6 Equity is imputed based on the FDIC definition
of a well-capitalized depository institution for
insurance premium purposes. The FDIC
requirements for a well-capitalized depository
institution are (1) a ratio of total capital to riskweighted assets of 10 percent or greater, (2) a ratio
of Tier 1 capital to risk-weighted assets of 6 percent
or greater, and (3) a leverage ratio of Tier 1 capital
to total assets of 5 percent or greater. Because the
total capital on the priced services balance sheet
has no components of Tier 1 or total capital other
than equity, requirements 1 and 2 are essentially
the same measurement. In addition, because riskweighted assets have historically been considerably
below actual assets on the priced services balance
sheet, typically only requirement 3 has been
binding for the priced services.

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rate is estimated and applied to the
equity on the priced services balance
sheet to determine the cost of equity.
The ROE rate is estimated using the
capital asset pricing model (CAPM),
which calculates a firm’s required ROE
rate as the sum of a risk-free rate of
return and a risk premium. In this
model, the risk premium is the product
of a firm-specific sensitivity factor,
known as beta, which expresses the
correlation of the firm’s returns to the
return of the market as a whole, and the
expected return of the market in excess
of the risk-free rate. In the PSAF
calculation, the risk-free rate of return is
based on the three-month Treasury bill
rate, and the expected market risk
premium is the average of the monthly
returns of the market as a whole in
excess of the risk-free rate over the most
recent 40 years.7 The priced services
beta of 1.0 assumes that, over time,
priced services returns will be perfectly
correlated with those of the overall
market.
Given that Federal corporate income
tax rates are graduated, State income tax
rates vary, and various credits and
deductions can apply, the
correspondent bank model does not
include an actual income tax expense.
Instead, the Board targets a pretax ROE
that would provide sufficient income for
the priced services to fulfill their
imputed income tax obligation. The
imputed income tax rate used to
calculate the pretax ROE is the median
of the rates paid over the past five years
by the top 50 bank holding companies
(BHCs) ranked by deposit balances,
adjusted to exclude any investment in
tax-free municipal bonds. The PSAF
also includes the estimated share of
Board expenses that supports the priced
services, imputed sales tax, and an
imputed FDIC insurance assessment
based on current FDIC rates and the
level of clearing balances held at
Reserve Banks.
Calculating NICB
The correspondent bank model
includes imputed revenue, known as
NICB, which is calculated each year
along with the imputed costs of the
PSAF. The NICB calculation assumes
that, similar to a correspondent bank,
the priced services would invest
clearing balances, net of the imputed
reserve requirement and balances used
to finance priced services assets, in
interest-bearing assets. To impute
investment income, a rate of return
7 Data on market returns are based on the French
data series, which is the standard data series used
to estimate the market risk premium (http://
mba.tuck.dartmouth.edu/pages/faculty/ken.french/
data_library.html).

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Federal Register / Vol. 74, No. 64 / Monday, April 6, 2009 / Notices
equal to the yield on the three-month
Treasury bill plus a constant spread is
applied to the level of clearing balances
available for investment on the priced
services balance sheet. The constant
spread is derived annually from a
portfolio of investments comparable to
the investment holdings of BHCs.8 The
NICB calculation nets this imputed
investment income against the actual
cost of earnings credits, which represent
the cost to the Reserve Banks of holding
clearing balances.9

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Calculating Cost Recovery
The Board incorporates the PSAF and
NICB into the projected and actual
annual cost recovery calculations for
Reserve Bank priced services. Cost
recovery measures the percentage of
priced services costs, including the
PSAF, recovered through priced
services fees and NICB. In the fall of
each year, the Board projects the PSAF
and NICB for the following year using
the most recent clearing balance and
rate data available (typically July data)
during the process of establishing priced
services fees. The Board also estimates
cost recovery for the coming year using
projected direct and indirect costs,
revenue, and the net imputed cost
generated from the estimated PSAF and
NICB.
When calculating actual cost recovery
for the priced services at the end of each
year, the Board historically has used the
estimated PSAF derived during the
price-setting process with only minimal
adjustments for actual rates or balance
levels.10 11 The Board adopted this
approach because the PSAF largely
represents the fixed financing costs
8 These investments include short-term Treasury
securities, government agency securities,
commercial paper, long-term corporate bonds, and
money market funds. For additional details on the
calculation of the constant spread, refer to the
notice of approval of modifications to the method
for calculating the PSAF, 68 FR 61413–61418 (Oct.
28, 2003).
9 Because clearing balances are voluntary, set by
priced services customers, and held for clearing
transactions or offsetting priced services fees, they
are directly related to the priced services. The cost
associated with holding clearing balances,
therefore, is appropriately attributed to the priced
services.
10 Although the largest portion of the PSAF, the
target ROE, is fixed, two minor elements of the
PSAF calculation are variable. The first adjusts the
imputed income tax expense for the difference
between the projected and actual priced services
net income by applying the imputed effective
income tax rate to any difference. The second
recalculates the imputed FDIC assessment using
actual clearing balance levels and assessment rates.
11 In light of the uncertainty about the long-term
effect that paying interest on required reserve and
excess balances held at Reserve Banks will have on
the level of clearing balances, the Board will adjust
the PSAF used in the actual cost-recovery
calculation for 2009 using the actual clearing
balance levels maintained throughout 2009.

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associated with the assets on the priced
services balance sheet, which is updated
annually. This method has proven to be
reasonable and transparent without
being unduly complex or burdensome.
The Board updates NICB, however, to
reflect actual interest rates and clearing
balance levels throughout the year when
calculating actual priced services cost
recovery. Actual NICB, therefore, can
vary from the projected amount used to
determine priced services fees for a
given year. For example, while the
projected and actual PSAF for 2007
remained substantially unchanged at
$132.5 million, actual 2007 NICB
decreased from its $139.6 million
projection to $133.8 million.
The Interdependence of Clearing
Balances, the PSAF, and NICB
Changes in clearing balance levels
directly affect the imputed costs and
income that factor into priced services
fees and cost recovery. Clearing
balances not only represent the largest
component of the priced services
balance sheet but also drive the
calculation of nearly all imputed
elements included in priced services
fees, including the financing costs, the
cost of equity, and NICB. For example,
clearing balances provide a major source
of short- and long-term funding for the
assets on the priced services balance
sheet, representing 74 percent of total
financing in 2007. Clearing balances
thus reduce total imputed financing
costs by eliminating the need to impute
more costly forms of financing, such as
debt.12 Clearing balances, in the form of
imputed investments, also represent a
significant portion of total priced
services assets. Total assets, in turn,
determine the level of imputed equity
and the resultant imputed cost of that
equity. In addition, the level of clearing
balances influences the amount of funds
available for investment in the imputed
portfolio of investments and the cost of
earnings credits, both of which are
principal factors in the NICB
calculation. These three elements—
financing costs, the cost of equity, and
NICB—are included in the net imputed
cost that is recovered through priced
services fees. Any change in the level of
clearing balances, therefore, has a
12 Historically, debt financing rates have been
higher than the earnings credit rate, making debt a
more costly source of financing for the priced
services balance sheet. For the week ended
February 11, 2009, the earnings credit rate paid on
clearing balances held by DIs at the Reserve Banks
was 0.09 percent versus 5.21 percent for the bond
rate on Moody’s Aaa-rated corporate bonds for the
week ended February 13, 2009 (see http://
www.federalreserve.gov/releases/h15/20090105/).

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significant effect on the PSAF, NICB,
and cost recovery.
Interest on Balances Held at Reserve
Banks
Title II of the Financial Services
Regulatory Relief Act of 2006 granted
the Reserve Banks authority to pay
earnings (interest) on balances
maintained by or on behalf of DIs at
Reserve Banks. Originally, this authority
was to become effective in 2011. Section
128 of the Emergency Economic
Stabilization Act of 2008, enacted on
October 3, 2008, made the authority
effective upon enactment. On October 6,
2008, the Board published an interim
final rule amending Regulation D
(Reserve Requirements of Depository
Institutions). The interim rule directed
the Reserve Banks to pay explicit
interest on balances held at Reserve
Banks to satisfy reserve requirements
(required reserve balances) and on
balances held in excess of both required
reserve balances and contractual
clearing balances (excess balances),
effective October 9, 2008.13
The Board has observed a significant
decline in the level of clearing balances
held at Reserve Banks following the
implementation of interest on required
reserve balances and excess balances
and anticipates that this trend will
continue. The daily average level of
clearing balances over the two-week
reserve maintenance period ending
October 8, 2008 was $7.7 billion. As
shown in figure 1, by the reserve
maintenance period ending February 11,
2009, the daily average level of clearing
balances had fallen to $4.6 billion. Over
this period, the rate of interest paid on
both required reserve balances and
excess balances maintained at Reserve
Banks was generally higher than the
earnings credit rate paid on clearing
balances.14 The interest rate on required
reserve balances and excess balances as
of March 2009 is 25 basis points, which
is the top of the targeted range for the
Federal funds rate and higher than the
concurrent earnings credit rate for
clearing balances. When the target
Federal funds rate exceeds the earnings
credit rate (the typical historical
13 73 FR 59482–59486 (Oct. 9, 2008), as amended
by 73 FR 65506–65507 (Nov. 4, 2008), 73 FR 67713–
67714 (Nov. 17, 2008), and 73 FR 78616 (Dec. 23,
2008).
14 The recent plateau in clearing balance levels
may be due to the small difference (often of less
than 15 basis points) between the rates earned on
excess balances and clearing balances in the current
low interest rate environment. In a more normal
rate environment, the absolute value of this
difference will increase, giving DIs more incentive
to shift from maintaining contractual clearing
balances to maintaining interest-earning excess
balances.

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scenario), and absent a significant
preference by DIs for implicit interest on
clearing balances over explicit interest

on excess balances held at Reserve
Banks, DIs will likely continue to
reduce clearing balances in favor of

increasing excess balances to receive
higher, explicit returns.

The expected continued decline in
clearing balance levels could have
significant implications for the imputed
costs that factor into the Board’s pricesetting methodology. If clearing balance
levels decline significantly, the priced
services balance sheet will shrink
dramatically, and the priced services
will lose a major source of both funding
and income. A continued reduction in
clearing balance levels will decrease the
similarities between the financial
characteristics of the priced services and
private-sector correspondent banks.
Specifically, with low to zero clearing
balance levels, it will be more difficult
to draw the analogy between
correspondent banks, whose balance
sheets include large levels of deposit
balances and related accounts, and the
Reserve Bank priced services. Similarly,
markedly reduced clearing balance
levels will call into question the use of
the FDIC’s regulatory structure for wellcapitalized depository institutions as a
determinant of equity capital on the
priced services balance sheet and will

potentially nullify the calculation of an
FDIC insurance assessment based on
clearing balance levels. All of these
factors challenge the continued
applicability of a PSAF model based on
a correspondent bank framework.
The potential for such circumstances,
in conjunction with the ongoing
changes in the nature of priced services
competitors discussed below, has
prompted the Board to consider changes
to its approach to imputing the costs
that MCA requires to be recovered
through priced services fees. If
approved, these changes could be
effective as early as the 2010 pricing
process. In determining the appropriate
timing of such changes, the Board will
consider trends in the level of clearing
balances held at Reserve Banks and the
extent to which the nature of the
Reserve Banks’ competitors, particularly
in the check service, shifts away from
correspondent banks.
The Board requests comment on the
following:
If the explicit interest rate for required
reserve balances and excess balances

continues to be higher than the implicit
rate paid on clearing balances in the
form of earnings credits, is it reasonable
to assume that DIs will continue to
reduce or eliminate their level of
contractual clearing balances in favor of
holding additional excess balances? If
not, why might DIs choose to maintain
their clearing balances?
Will DIs raise and lower the level of
clearing balances they hold at Reserve
Banks depending on whether the
earnings credit rate is above or below
the rate on excess balances?
Are there any reasons why the Board
should maintain its clearing balance
program if demand for clearing balances
continues to decline significantly?

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Trends in the Banking and Payment
Systems Industries
As noted above, when implementing
the priced services provisions of MCA
in the early 1980s, the Board identified
private-sector correspondent banks as
the most appropriate peer group for the
priced services in adopting key
elements of the policy. The Board

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considered correspondent banks to be a
reasonable proxy for private-sector
providers of priced services because
they are the primary competitors of the
Reserve Banks’ check service, which
historically has comprised more than 80
percent of the cost of Reserve Bank
priced services activities. In doing so,
the Board recognized that BHCs offer
diverse services that extend well beyond
the payment services that are provided
by the Reserve Banks, and that these
services largely drive BHC financial
results; however, given that Reserve
Banks and BHCs both hold customer
balances that facilitate payment
services, the Board considered it a
reasonable comparison.
Recently, however, the analogy
between private-sector correspondent
banks and the priced services has
become less applicable. The payment
systems industry has sharply decreased
its use of traditional check services and
increased its use of electronic payment
services. As a result, user-owned
utilities, the Reserve Banks’ typical
competitors in electronic payment
services, have increasingly replaced
correspondent banks as the
predominant competitors of the Reserve
Banks in providing priced services.
These user-owned utilities include such
entities as the Clearing House Interbank
Payment System (CHIPS), which is the
primary competitor for Fedwire® funds
transfer services, and the Electronic
Payments Network (EPN), which is the
only private-sector automated
clearinghouse (ACH) operator. Both of
these entities are part of a larger
cooperative, The Clearing House
Payments Company, LLC (TCH), which
is owned entirely by its principal users.
Unlike private-sector correspondent
banks, user-owned utilities do not hold
overnight balances for their participants.
As paper check processing volumes
continue to decline and the check
service becomes more electronic,
utilities will likely increasingly be key
competitors of the Reserve Banks in
providing priced services. These trends,
in conjunction with the potential
continued significant decline in clearing
balances resulting from the ability of DIs
to receive explicit interest on balances
held at Reserve Banks, raise questions
about the continued appropriateness of
the correspondent bank model as the

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basis for the imputed costs that factor
into the Board’s pricing methodology.
II. The Proposed PSAF Model
The Publicly Traded Firm Model
The Board seeks to replace the current
correspondent bank model with a model
that is transparent, consistent with
current financial theory and practice,
and conceptually sound as a basis for
efficient pricing in the market of
payment services. To achieve these
objectives, and given the difficulty in
identifying and obtaining data for an
applicable peer group, the Board
proposes to replace the correspondent
bank model with a ‘‘publicly traded firm
model’’ for calculating the imputed
costs that factor into priced services fees
and cost recovery. This model
recognizes the shift, in the priced
services’ financial characteristics and
competitors, away from correspondent
banks, as well as the difficulties
inherent in a user-owned utility model
as discussed below, and instead
compares the priced services to the
entire market of U.S. publicly traded
firms.
Under the publicly traded firm model,
the asset side of the priced services
balance sheet would reflect only the
projected portion of actual Reserve Bank
assets used to provide priced services;
no additional assets would be imputed.
Any residual clearing balances
maintained by DIs at Reserve Banks
would not be included in the priced
services balance sheet or in the
calculation of the PSAF. Consequently,
imputed investments and NICB would
be zero by definition, and the priced
services would impute additional equity
and debt to meet the funding need on
the priced services balance sheet. The
publicly traded firm model would not
include an imputed FDIC assessment,
because the priced services’ peer group
would no longer be limited to privatesector correspondent banks and
because, as noted above, any residual
clearing balances would not be included
in the priced services balance sheet or
in the PSAF calculation. The imputed
capital structure, debt and equity
financing rates, and effective income tax
rate would be based on data for the U.S.
market as a whole and would be
calculated using the various market data
sources and time frames discussed
below. The time frame selected for each

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of these imputed elements was chosen
to minimize volatility in the PSAF from
year to year. A one-year time frame was
selected for elements that historically
have been more stable; a five-year
average was selected when data were
more volatile historically or when
changes in that element would have a
larger impact on the PSAF.15 When
averaging data for individual U.S. firms,
the model would use value-weighted
rather than equal-weighted averages.16
The priced services imputed capital
structure would be based on the most
recent full-year value-weighted average
capital structure (that is, total long-term
debt to total long-term debt plus equity)
of all U.S. publicly traded firms
included in a commercially available
financial database. The Board initially
proposes using Standard & Poor’s
Compustat® database as the source for
the capital structure and effective
income tax rate of all U.S. publicly
traded firms. The Standard & Poor’s
Compustat® database contains
information on more than 6,000 U.S.
publicly traded firms, which
approximate the entirety of the U.S.
market. Because of the timing of the
price-setting process and the availability
of relevant data, there would be a twoyear lag in the data used in the PSAF
calculation: for example, 2010 priced
services fees, set in late 2009, would be
based upon full-year 2008 data.17 Table
1 shows the value-weighted average
capital structures for all U.S. publicly
traded firms in the Standard & Poor’s
Compustat® database from 2003 to 2007.
In 2007, based on the foregoing, the
value-weighted average capital structure
was 54 percent.
15 Although MCA’s requirement for cost recovery
over the long run allows the Board to set fees to
over- or underrecover costs in a given year to
minimize price volatility, volatility in imputed
costs makes the pricing process more complex. As
a result, the Board has typically preferred to adopt
PSAF methodologies that provide for stable rather
than volatile imputed costs.
16 Value-weighted averages assign equal weight to
each dollar, while equal-weighted averages assign
equal weight to each firm. The Board opted to use
value-weighted averages to reflect more accurately
the financial characteristics of the market as a
whole rather than those of the ‘‘average’’ firm in the
market.
17 The two-year lag in the data used to calculate
certain imputed costs in the PSAF is characteristic
of the current model as well and is due in large part
to the timing of the price-setting process.

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TABLE 1—CAPITAL STRUCTURE (CAPITALIZATION RATIO) OF U.S. PUBLICLY TRADED FIRMS

2003

2004

2005

2006

2007

Five-year
average

Standard
deviation

55%

53%

53%

52%

54%

53%

1.0%

Source: Standard & Poor’s Compustat® data.

Because the PSAF resulting from the
publicly traded firm model is not highly
sensitive to capital structure and
because the value-weighted average
capital structure does not vary
significantly from year to year, the
Board believes that a one-year time
frame is appropriate when imputing the
priced services capital structure. This
conclusion is supported both by
financial theory, which states that

changes in capital structure should not
significantly affect the value of a firm,
and by sensitivity analysis as shown in
attachment 1.18
The imputed effective income tax rate
would be the five-year mean of the
value-weighted average ratios of current
tax expense to total net income for all
U.S. publicly traded firms in the
financial database. Table 2 shows the
annual value-weighted average effective

tax rates for all U.S. publicly traded
firms in the Standard & Poor’s
Compustat® database from 2003 to 2007.
For that period, the five-year mean of
these tax rates was 24 percent. A fiveyear mean would be used because of the
volatility of the annual effective tax rate
from year to year and the sensitivity of
the PSAF to this input, as shown in
attachment 1.

TABLE 2—EFFECTIVE TAX RATE OF U.S. PUBLICLY TRADED FIRMS
2003

2004

2005

2006

2007

Five-year
average

Standard
deviation

19%

23%

27%

24%

29%

24%

3.4%

Source: Standard & Poor’s Compustat® data.

The imputed long-term debt financing
rate under the publicly traded firm
model would be the five-year mean of
an estimated average annual bond yield
for the market as a whole. The Board
proposes to use a five-year mean when
imputing a long-term debt financing rate
to be consistent with the treatment of
the tax rate (both of these inputs are
cost-related) and to reduce year-to-year
volatility in the PSAF.19
The Board initially proposes
calculating the imputed long-term debt

rate as the five-year mean of the Aaa and
Baa Moody’s bond yields published on
the Federal Reserve Board’s H.15
Statistical Release.20 The inclusion of
only investment-grade debt is based on
analysis of data on approximately 1,400
publicly traded firms in the Compustat
database for which bond rating data are
available.21 Given that the majority of
outstanding debt for this population was
investment grade, the Board considered
an average investment-grade bond yield
to be a reasonable proxy for the imputed

priced services long-term debt financing
rate. The Board considered two
averaging techniques to determine the
average investment-grade bond yield,
which provided nearly identical results.
Of these two approaches, the five-year
mean of the Aaa and Baa Moody’s bond
yields was more simple and
transparent.22 Table 3 shows the annual
average yield from 2003 to 2007 using
this methodology. For this period, the
five-year mean was 6.0 percent.

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TABLE 3—AVERAGE OF ANNUAL MOODY’S AAA AND BAA BOND YIELDS
2003

2004

2005

2006

2007

Five-year
average

Standard
deviation

6.2%

6.0%

5.7%

6.0%

6.0%

6.0%

0.2%

Using an average investment-grade
bond yield as the imputed priced
services long-term debt financing rate,
however, does not take into account the
effect of non-investment-grade debt on
the average bond yield for the market as

a whole. Inclusion of non-investmentgrade debt would result in a somewhat
higher imputed long-term debt
financing rate. Accordingly, the Board
could also calculate an average bond
yield for U.S. publicly traded firms

using five-year average yields for each
bond rating, weighted by the relative

18 F. Modigliani and M.H. Miller (1958), ‘‘The
Cost of Capital, Corporation Finance, and the
Theory of Investment,’’ American Economic
Review, 48, pp. 261–97. The Modigliani-Miller
Theorem states that under some conditions and in
an efficient market the value of a firm is unaffected
by how that firm is financed.
19 Although attachment 1 shows low levels of
volatility in the average Moody’s bond rates from
2003 to 2007, this stability has not been the historic
norm. Given the PSAF’s sensitivity even to small
changes in the debt financing rate, the Board plans

to use a five-year average to minimize volatility in
the PSAF.
20 http://www.federalreserve.gov/releases/H15/
data.htm. Moody’s Aaa and Baa bond ratings
represent the upper and lower limits of the range
of investment-grade bonds.
21 While the firms in this sample included only
approximately 20 percent of publicly traded firms
in the database, they represented more than 85
percent of the assets and debt of the complete
population of over 6,000 firms. Analysis of data for
this sample from 2003 to 2007 showed that 82
percent of outstanding long-term debt (which

represents over 70 percent of the outstanding longterm debt for all firms in the database during that
period) was investment grade.
22 Alternatively, the Board could calculate an
average investment-grade bond yield using five-year
average annual bond yields for each investment
grade, weighted by the relative proportion of debt
outstanding for each grade in the population of
approximately 1,400 firms. For 2003 to 2007, the
weighted average bond yield using this technique
differed from the five-year mean of the Aaa and Baa
Moody’s bond yields by 2 basis points.

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proportion of debt outstanding in the
market at each bond rating.23
If short-term assets exceed short-term
liabilities on the priced services balance
sheet, short-term debt would be
imputed at the average of the threemonth AA and A2/P2 nonfinancial
commercial paper rates as published on
the Federal Reserve Board’s Commercial
Paper Release.24 This methodology is
simple, transparent, consistent with the
proposed approach to calculating the
long-term debt financing rate, and based
on publicly available data.
The Board considered other data
sources for each of the imputed
elements discussed above. These
sources include the Flow of Funds
Federal Reserve Board Statistical
Release for capital structure, general
corporate income tax rates as found on
Internal Revenue Service (IRS) Form
1120 for the effective tax rate, and the
ratio of ‘‘interest and related expense’’
to total debt for all publicly traded U.S.
firms in the Standard & Poor’s
Compustat® database for the long-term
debt financing rate.25 In each case, the
Board considered the source set forth in
the current proposal to be the superior
alternative. The Flow of Funds release
does not include data on U.S. publicly
traded financial firms and provides only
approximate market-value equity data.
Use of the general corporate income tax
rate published by the IRS would
inappropriately exclude the effect of
State and local taxes. A long-term debt
financing rate calculated from the
Standard & Poor’s Compustat® database
would be artificially high because of the
inclusion of ‘‘related expense,’’ which
includes items such as interest on
deposits held at DIs, in the interest
expense measure used in the numerator.

Under the publicly traded firm model,
the imputed ROE rate would continue to
be calculated using the CAPM with a
beta of 1.0 and a 40-year average
historical market premium. Given the
sensitivity of the PSAF to the risk-free
rate used in the CAPM, and because
short-term Treasury bill rates are
generally more sensitive to interest rate
changes than longer-term rates, the
Board considered replacing the current
short-term risk-free rate with a longerterm risk-free rate. As shown in
attachment 1, changes in the risk-free
rate used in the calculation of the target
ROE rate affect the PSAF more than any
other imputed element. In 2005, the
Board decided to use a three-month
Treasury bill rate as the risk-free rate to
impute the target ROE because this rate
was consistent with that used to
calculate NICB and would help
minimize volatility in the net imputed
cost caused by changes in interest
rates.26 With the elimination of NICB
under the proposed publicly traded firm
model, however, using a longer-term
Treasury rate, such as the 10-year
Treasury bond rate, may be an
appropriate way to minimize volatility
in the calculation of the target ROE rate.
A longer-term rate more closely matches
the duration of stock market indexes
used to estimate a beta, the expected life
of the assets on the priced services
balance sheet, and the investment
horizon of a long-term investor.
Table 4 compares certain components
for 2009 derived under the publicly
traded firm model with the same
components as derived under the
baseline case.27 Using the elements
discussed above, the publicly traded
firm model returns a PSAF of $55.4
million compared with a baseline PSAF

of $62.2 million (NICB of $48.8 million,
net imputed cost of $13.4 million).
The baseline net imputed cost reflects
clearing balance levels and interest rates
as of July 2008. The correspondent bank
model is highly sensitive to both of
these variables. For example, using the
lower clearing balance levels and
interest rates from February 2009,
projected 2009 NICB is less than half the
amount that was projected for pricing
purposes, leading to an increase in the
2009 net imputed cost. If clearing
balances continue to decline, the
variance between the PSAF calculated
using the proposed methodology and
the net imputed cost using the
correspondent bank model will likely be
significantly smaller than noted above.
In contrast, as interest rates rise, the
income generated on each dollar of
clearing balances in the NICB
calculation of the correspondent bank
model will increase. Rising interest
rates, however, will widen the spread
between the interest rate on excess
balances and the earnings credits rate,
giving DIs more incentive to shift from
maintaining clearing balances to
maintaining additional excess balances.
This expected reduction in clearing
balances will reduce NICB,
counteracting the effect of higher perdollar earnings and likely leading to a
net decrease in NICB. Consequently,
rising interest rates could cause an
overall increase of the net imputed cost
of the correspondent bank model
throughout the year. This increase could
substantially shrink the variance
between the PSAF of the proposed
model and the net imputed cost of the
current model.

TABLE 4—COMPARISON OF CURRENT AND PROPOSED MODEL
Balance
sheet assets
(billions)
Baseline case: correspondent bank
model.
Publicly traded firm
model.

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1 No

$9.2
1.3

Financing
composition

Financing
cost

Tax rate
(percent)

Debt rate
(percent)

Equity per FDIC
guidelines.

ROE of $46.2 M .....

32.6

54% long-term debt,
46% equity.

$40.3M (ROE of
$22.3M; debt cost
of $18.0M).

24

PSAF
(millions)

NICB
(millions)

(1)

$62.2

$48.8

6.0

55.4

0

debt.

23 The relative proportions of outstanding debt
would be based on the most recent five years of
Standard & Poor’s Compustat® data for which bond
rating data are available.
24 http://www.federalreserve.gov/releases/cp/. AA
and A2/P2 ratings for commercial paper
approximate the same credit ratings as Moody’s Aaa
and Baa ratings for bonds. Since 2002, the priced

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services short-term funding need has been met by
clearing balances, eliminating the need to impute
short-term debt.
25 Current corporate income tax rates can be
found in the 2008 instructions for IRS Form 1120
at http://www.irs.gov/pub/irs-pdf/i1120.pdf.
26 70 FR 60347 (Oct. 17, 2005). NICB is based on
an average three-month Treasury bill rate, while the

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target ROE CAPM calculation uses a current threemonth Treasury bill rate for the risk-free rate.
27 The baseline PSAF of $62.2 million, projected
NICB of $48.8 million, and net imputed cost of
$13.4 million are the Board-approved projected
2009 values using the correspondent bank model.
73 FR 65329–65340 (Nov. 3, 2008).

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The Board believes that the publicly
traded firm model would be an
appropriate replacement for the current
PSAF model for a variety of reasons.
The publicly traded firm model is
relatively simple to calculate and
understand, easily replicable by the
public, and uses objective, publiclyavailable data for all imputed inputs.
Unlike the correspondent bank model,
the publicly traded firm model is not
linked to the level of clearing balances
held at Reserve Banks. This
characteristic is important given the
uncertainty surrounding future clearing
balance levels. Substantially lower
clearing balances would not only affect
the funding and income of the priced
services but also undermine the basis
for the use of an FDIC-based regulatory
structure for depository institutions as a
determinate of the priced services
capital structure. A model that is not
dependent on clearing balance levels is
also appropriate in an environment
where clearing balances are not relevant
to a growing proportion of the Reserve
Banks’ competitors in providing priced
services. Another advantage of the
publicly traded firm model is its
independence from a narrowly defined
peer group, such as private-sector
correspondent banks, that may become
less relevant to the priced services over
time. Unlike other models considered,
the publicly traded firm model does not
incorporate data from a limited number
of comparable firms but rather from the
entire U.S. market of publicly traded
firms. This independence decreases the
risk of price volatility that could result
from changes in the characteristics or
financial results of a limited peer group.
The publicly traded firm model also is
consistent with financial theory
regarding capital structure and
financing costs and is conceptually
sound. In addition, the publicly traded
firm model is consistent with the
current approach to calculating the ROE
using CAPM with a beta of 1.0, which
compares the priced services to the
market as a whole.
The publicly traded firm model also
has a few drawbacks. If some level of
clearing balances persists at Reserve
Banks over the long term, excluding
these priced-services-related balances
from the calculation of the PSAF would
depart from the Board’s past practice of
including all actual priced services
assets and liabilities in the calculation
of the PSAF and would disregard
potential imputed income from these
balances. A publicly traded firm model
also departs from a model based
specifically on the banking industry.
This change in direction may conflict

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with the fact that the priced services are
provided by Reserve Banks, which are,
by definition, banks.
The Board specifically requests
comment on the following:
Is using the U.S. market as a whole as
a basis for the imputed capital structure,
tax rate, and debt financing rates of the
priced services reasonable? Is
discontinuing the use of a
correspondent bank model reasonable?
Are the proposed approaches to
imputing the capital structure, effective
tax rate, and long- and short-term debt
financing rates appropriate?
Is it reasonable to include only
investment-grade bond yields in the
calculation of the imputed long-term
debt financing rate? If not, what
approach should the Board take to
include other yields or rates in the
calculation? What publicly-available
data sources are best suited for
obtaining data on non-investment-grade
debt?
Is it reasonable to limit the calculation
of the short-term debt financing rate to
include only rated commercial paper
even if the long-term debt financing rate
calculation were expanded to include
non-investment-grade debt, given the
expectation that the need for short-term
funding on the priced services balance
sheet will be relatively small? If not,
what approach should the Board take to
include other rates in the calculation?
What publicly-available data sources
are best suited for determining the
effective tax rate, capital structure, and
short- and long-term debt financing
rates of the U.S. market?
Should the Board consider using a
longer-term risk-free rate to calculate the
target ROE to decrease the ROE
calculation’s sensitivity to changes in
interest rates?
III. Other PSAF Models Considered
The User-Owned Utility Model
The Reserve Banks’ major competitors
in the provision of priced services
increasingly are user-owned utilities
rather than traditional correspondent
banks. Accordingly, one approach to
revise the methodology for imputing
costs might be to model the priced
services balance sheet and imputed
capital structure, financing rates, tax
rate, and other applicable costs on a
user-owned utility. Under this
methodology, the priced services
balance sheet and imputed costs would
reflect either the financial
characteristics of a peer group of userowned utilities currently existing in the
market or theoretical assumptions about
the behavior and characteristics of this
type of organization.

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A user-owned utility model is
conceptually appealing because the
Reserve Banks’ competitors in the
Fedwire® Funds, FedACH®, and, to a
lesser extent, check services are
increasingly user-owned utilities. Such
a model also recognizes that, as clearing
balance levels decline, providing priced
services to DIs that do not maintain
clearing balances could more closely
resemble the operation of a user-owned
utility than that of a traditional
correspondent bank.
Selecting an appropriate peer group
for this approach, however, is
challenging. User-owned utilities
typically provide a diverse array of
services using various operational
approaches. Although choosing a
narrowly defined peer group of userowned utilities, specifically one
consisting of peers that provide services
more closely resembling the priced
services, could provide a morecomparable peer group, this approach
may also introduce greater volatility in
the PSAF because of the dependence on
data from a small number of firms.
A user-owned utility peer group could
present other problems as well. Publicly
available financial data on user-owned
utilities are often not published. For
example, CHIPS and EPN provide
services that compete with the priced
services provided by Reserve Banks.
These two entities, however, are both
components of TCH, which does not
publicly report its financial statements
either by product line or in aggregate.
Although data are more readily
available to the public from several
other user-owned utilities (such as
SWIFT and the Depository Trust &
Clearing Corporation), the services
provided by these firms are less
comparable to those provided by the
Reserve Banks.
Basing this model on theoretical
characteristics of user-owned utilities
rather than on the actual data of a
specific peer group could also prove
challenging. User-owned utilities, by
definition, lack incentive for profit
maximization because the owners of
these utilities are also their primary
customers. Consequently, user-owned
utilities tend to seek to maximize the
benefit afforded to their users by
providing low-cost services while
remaining financially viable. Although
the assumption that this characteristic
could result in a lower required rate of
return on equity is reasonable,
establishing a methodology to calculate
that rate using the limited economic
literature available on the subject could
be difficult. Further, establishing the
means to calculate the other requisite
imputed elements—capital structure,

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debt financing rates, and income taxes—
using theoretical assumptions or
academic studies could be similarly
challenging.
The user-owned utility model exhibits
some of the same drawbacks of the
publicly traded firm model that the
Board is proposing. For example, a userowned utility model represents the
same significant departure from a model
based specifically on the banking
industry. A user-owned utility model
also would not include residual clearing
balances, which departs from the
Board’s past practice of basing the PSAF
on actual priced services assets and
liabilities.
The Board specifically requests
comment on the following:
Given that user-owned utilities reflect
a significant portion of the Reserve
Banks’ competitors in providing priced
services, would a user-owned utility
model be more appropriate? If yes, are
there approaches the Board should
consider that would address the
identified obstacles?
The Cost-Plus Model
In 2005, while commenting on
proposed changes to the PSAF
methodology for calculating the ROE,
two commenters suggested a cost-plus
model as a simple, straightforward
method for calculating the PSAF.
Accordingly, the Board investigated the
possibility of using a cost-plus PSAF
model based on priced services
operating expenses. A cost-plus PSAF
model would add a markup to the
priced services operating expenses for
the year. The markup would be
calculated by applying an internal
benchmark or market rate of return to
the level of budgeted priced services
operating expenses. Regardless of the
method used to calculate the markup,
residual clearing balances held at
Reserve Banks would not be included in
the calculation of net imputed cost, and
NICB would therefore be zero by
definition.
Calculating the markup for a cost-plus
model requires a data source from
which to develop the internal
benchmark or market rate of return to be
applied to budgeted operating expenses.
In the case of an internal benchmark,
the Board considered using an average
of historical PSAF values. Such values,
however, would not take current data
into account and would reflect a
correspondent bank model that is
increasingly inapplicable given recent
trends in the payments industries and
the expected continued decline in the
level of clearing balances. In addition, a
static internal benchmark based on
historical PSAF values would fail to

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reflect ongoing changes in the
marketplace.
Alternatively, the Board could base
the markup ratio applied to the priced
services operating expenses on an
external benchmark, such as the average
markup over operating expenses for the
U.S. market as a whole.28 Specifically,
the Board could calculate the markup as
the ratio of pretax income and interest
expense to operating expense for all
U.S. publicly traded firms. This markup
could then be applied to the projected
level of priced services operating
expense, including imputed operating
expenses such as sales tax, to determine
the value of the imputed profit, debt
financing cost, and income taxes to be
factored into priced services fees.
Applying a markup over expenses ratio
based on value-weighted average data
for all publicly traded U.S. firms in the
Standard & Poor’s Compustat® database
to the 2009 budgeted priced services
operating expense yields a projected
2009 PSAF of $157.5 million.29
Although a cost-plus model is simple,
transparent, and replicable by the
public, it also has several weaknesses. A
cost-plus model based on historical
PSAF values is static and assumes
continued use of the current
correspondent bank model, which is
increasingly inapplicable. In addition,
basing a cost-plus model on accountingbased values captures only book, not
market, values of financing and other
costs. Such a model is also not
consistent with current finance theory.
As with the models discussed
previously, a cost-plus model represents
a departure from a model based
specifically on the banking industry.
The Board specifically requests
comment on the following:
Should the Board consider
implementing a cost-plus model?
Are there other sources of data that
the Board should consider using to
calculate an appropriate markup over
operating expenses or over another
financial characteristic of the priced
services?
Are there other approaches that the
Board should consider to address the
identified obstacles?
28 The Board discarded the idea of basing the
markup ratio on data for more narrowly-defined
peer groups because of the challenges of
comparability and data availability discussed
previously.
29 The Board could calculate a markup over
expenses ratio using two averaging techniques:
equal weighting and value weighting. The Board
believes value weighting is more appropriate
because it would yield less-volatile results and
would better capture the characteristics of the
market as a whole.

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Continuation of the Current
Correspondent Bank Model
The Board also considered the
continued use of the current
correspondent bank model to impute
costs, with minor modifications. Using
this model while also paying interest on
required reserve balances and excess
balances would result in a significantly
smaller priced services balance sheet
because of the anticipated decline in
clearing balances and the associated
imputed investment assets. Equity,
which would still be imputed at the
FDIC regulatory minimum for a wellcapitalized depository institution,
would shrink because of the reduction
in size of the overall priced services
balance sheet.
Residual clearing balances would
continue to serve as a funding source for
the priced services. If residual balances
were not sufficient to meet the funding
need, net of equity, on the priced
services balance sheet, debt would be
imputed. The imputed short- and longterm debt financing rates would be
calculated using the same
methodologies outlined for the imputed
debt financing rates of the publicly
traded firm model. Using average
market debt financing rates in the
correspondent bank model recognizes
that as clearing balances fall and debt
rises as a percentage of total priced
services assets, the priced services
balance sheet would look increasingly
like that of a publicly traded firm and
less like that of a correspondent bank.30
An average debt financing rate would
also use readily-available public data
and could be calculated with greater
administrative ease. If residual clearing
balances exceeded the funding need on
the priced services balance sheet, NICB
would be imputed.
Table 5 compares certain components
for 2009 as derived under a
continuation of the current
correspondent bank model, with
assumed residual clearing balance levels
ranging from $0 to $4 billion, to the
same components as derived under the
baseline case. Using the values listed
below, a continuation of the current
correspondent bank model would return
a net imputed cost between $50.7
million (PSAF of $50.7 million, NICB of
$0) and $19.5 million (PSAF of $40.6
million net of $21.1 million in NICB).31
30 For example, if clearing balances fall to zero,
applying the FDIC regulatory structure to determine
the capital structure on the priced services balance
sheet would result in a capitalization ratio of over
85 percent.
31 The results presented in Table 5 are based on
a risk-free rate as of July 2008 of 1.67 percent. As
interest rates increase, both the ROE costs of the

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Federal Register / Vol. 74, No. 64 / Monday, April 6, 2009 / Notices

The increase in net cost is largely the
result of the reduction or elimination of
NICB caused by the decline in clearing

balances levels. This increase is
partially offset by a reduction in the cost
of equity as a result of the reduced level

of total assets and, consequently, of
imputed equity on the priced services
balance sheet.32

TABLE 5—CORRESPONDENT BANK MODEL UNDER DIFFERENT CLEARING BALANCE ASSUMPTIONS
Assumed clearing
balance level
Baseline case:
$7.4 B ($4 B in
core clearing
balances).
$4 B ($2 B in core
clearing balances).
No clearing balances.

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1 No

Balance
sheet
assets
(billions)
$9.2

5.0

1.3

Tax rate
percent

Debt rate
percent

PSAF
(millions)

NICB
(millions)

Net imputed
cost
(millions)

Financing composition

Financing cost

Equity per FDIC
guidelines; remainder clearing
balances.
Equity per FDIC
guidelines; remainder clearing
balances.
Equity per FDIC
guidelines; remainder debt.

ROE of $46.2 M ...

32.6

(1)

$62.2

$48.8

$13.4

ROE of $25.0 M ...

32.6

..................

40.6

21.1

19.5

$35.6 M (ROE of
$6.4 M; debt
cost of $29.2 M).

32.6

6.0

50.7

0

50.7

debt.

call into question the applicability of an
FDIC-based regulatory structure
designed for depository institutions as
the determinant of the priced services
capital structure. Specifically, in an
environment of low to zero clearing
balance levels, applying the FDIC’s
regulatory structure could result in a
priced services capitalization ratio of
more than 85 percent, which seems
unreasonable when compared to
correspondent banks that are primarily
funded by balances rather than longterm debt.
The Board specifically requests
comment on the following:
Would continued use of the
correspondent bank model to calculate
the PSAF be appropriate given the
expected reduction in clearing balances
and changes in priced services
competitors? If so, is the proposed
approach for calculating a debt
financing rate in the correspondent bank
model reasonable?

Continued use of the correspondent
bank model for imputing costs would
provide several advantages. Among
these is its ability to draw upon a welldefined FDIC regulatory structure and a
peer group with readily available data
when establishing key imputed
elements such as capital structure and
rates. This model also would afford a
means by which possible residual
clearing balances held at Reserve Banks
could continue to provide a low-cost
funding source and potential source of
imputed income.
A principal disadvantage of this
model is the decreasing similarity
between the financial and operational
characteristics of the Reserve Bank
priced services and traditional
correspondent banks if the level of
clearing balances held at Reserve Banks
continues to fall. Historically, the Board
has recognized that the financial
characteristics of BHCs are not driven
primarily by the payment services that
compete with those offered by Reserve
Banks, but has considered BHCs an
appropriate peer group because they are
the primary competitors to the Reserve
Banks’ check services and because both
entities hold customer balances for the
purpose of facilitating payments
services. If clearing balance levels
approach zero and as the check service
declines as a percentage of priced
services revenue and expenses,
comparing priced services to
correspondent banks for the purpose of
establishing a PSAF model will be
increasingly difficult. Dramatically
reduced clearing balance levels will also

In its March 1990 policy statement
‘‘The Federal Reserve in the Payments
System,’’ the Board stated that all
operational and legal changes
considered by the Board that could have
a substantial effect on payment system
participants are subject to a competitiveimpact analysis.33 Under this policy, the
Board evaluates whether a proposed
change would have a direct and material
adverse effect on the ability of other
service providers to compete effectively
with the Reserve Banks in providing
similar services. These effects could be

PSAF and the earnings of the NICB portfolio would
increase. The net effect of this increase would
depend on the size and character of the priced
services balance sheet.

32 The decrease in total financing costs is offset
in part by the cost of financing priced services
assets with higher-cost debt instead of low-cost
clearing balances.

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caused by differences in legal authority
or constraints between Reserve Banks
and private-sector competitors or by a
dominant market position that the
Reserve Banks might derive from such
legal differences. If the proposed change
creates such an effect, the Board must
further evaluate the changes to
determine whether its benefits—such as
contributions to payment system
efficiency, payment system integrity, or
other Board objectives—can be retained
while reducing the hindrances to
competition.
The intent of the PSAF, and of setting
priced services fees in general to fully
recover the costs (including imputed
costs and profits) to provide them, is to
facilitate competition between Reserve
Banks and private-sector providers of
payment services to foster a more
efficient payment system. Identifying a
meaningful private-sector peer group for
the purpose of calculating the PSAF,
however, has been difficult given the
specific nature of the priced services
provided by the Reserve Banks. The
correspondent bank model historically
has provided a reasonable proxy for
Reserve Bank priced services, although
the Board recognizes that correspondent
bank balance sheets and ROE are
typically driven largely by services that
are not similar to those provided by the
Reserve Banks. As the Reserve Banks’
check service becomes a smaller
proportion of total priced services
revenues and costs, user-owned utilities
are increasingly becoming the Reserve
Banks’ key priced services competitors.
Because correspondent banks will no
33 FRRS

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longer represent the primary
competitors of Reserve Banks in
providing priced services, and because
no reliable comparative data are
available for the user-owned utilities,
the Board believes modeling the PSAF
on a publicly traded firm model is
appropriate. Accordingly, the Board
believes that such a change in the PSAF
model, if made, would not have a direct

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15491

and material adverse effect on the
ability of other service providers to
compete effectively with Reserve Banks
in providing similar services.

the authority delegated to the Board by
the Office of Management and Budget.
The proposal contains no provisions
subject to the Paperwork Reduction Act.

V. Paperwork Reduction Act

By order of the Board of Governors of the
Federal Reserve System, March 30, 2009.
Jennifer J. Johnson,
Secretary of the Board.

In accordance with the Paperwork
Reduction Act of 1995 (44 U.S.C. ch.
3506; 5 CFR 1320 appendix A.1), the
Board has reviewed the proposal under

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BILLING CODE 6210–02–P

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Federal Register / Vol. 74, No. 64 / Monday, April 6, 2009 / Notices

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15495

Federal Register / Vol. 74, No. 64 / Monday, April 6, 2009 / Notices
[FR Doc. E9–7473 Filed 4–3–09; 8:45 am]
BILLING CODE 6210–02–C

DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Office of the Secretary
[Document Identifier: OS–0990—New; 30day Notice]

Agency Information Collection
Request; 30-Day Public Comment
Request
Office of the Secretary, HHS.
In compliance with the requirement
of section 3506(c)(2)(A) of the
Paperwork Reduction Act of 1995, the
Office of the Secretary (OS), Department
of Health and Human Services, is
publishing the following summary of a
proposed collection for public
comment. Interested persons are invited
to send comments regarding this burden
estimate or any other aspect of this
collection of information, including any
of the following subjects: (1) The
necessity and utility of the proposed
information collection for the proper
performance of the agency’s functions;
(2) the accuracy of the estimated
burden; (3) ways to enhance the quality,
AGENCY:

utility, and clarity of the information to
be collected; and (4) the use of
automated collection techniques or
other forms of information technology to
minimize the information collection
burden.
To obtain copies of the supporting
statement and any related forms for the
proposed paperwork collections
referenced above, e-mail your request,
including your address, phone number,
OMB number, and OS document
identifier, to
Sherette.funncoleman@hhs.gov, or call
the Reports Clearance Office on (202)
690–5683. Send written comments and
recommendations for the proposed
information collections within 30 days
of this notice directly to the OS OMB
Desk Officer; faxed to OMB at 202–395–
6974.
Proposed Project: Evaluation of the
Parents Speak Up National Campaign
(PSUNC): National Media Tracking
Surveys. OMB No. 0990–NEW—Office
of Public Health and Science, Office of
Population Affairs, Office of Adolescent
Pregnancy Programs.
Abstract: The OS proposes to conduct
a national media tracking survey as part
of the Parents Speak Up National
Campaign. The U.S. Department of
Health and Human Services (USDHHS)

launched the Parents Speak Up National
Campaign (PSUNC) in June 2007. This
national public education campaign is
designed to encourage parents of preteens and teens to talk to their children
early and often about waiting to have
sex. The campaign includes public
service announcements (PSA) and print
advertisements that guide parents to the
http://4parents.gov Web site.
The specific aim of this study is to
determine the effectiveness of the
PSUNC messages by measuring parents’
awareness of, reactions to, and
receptivity to specific PSUNC
advertising. In partnership with
Knowledge Networks, an online panel
based on a random-digit-dial sample of
the full United States population, a
probability baseline sample will be
selected of 2,000 parents of children
aged 10 to 14.
Key research questions include
changes in the following outcomes:
Perceived risks from teen sexual
activity, perceived susceptibility,
attitudes towards teen sexual activity,
self-efficacy to talk to their child,
outcome efficacy, perceived value of
delayed sexual activity, and parentchild communication about sex. Parents
will self-administer the questionnaire at
home on personal computers.

ESTIMATED ONE-YEAR ANNUALIZED BURDEN TABLE
Forms
(if necessary)
Fall 2009 Media Tracking Survey (un-retained for
follow-up).
Fall 2009 and Spring/Fall 2010 Media Tracking
Surveys (retained for follow-up).
Total ...............................................................

Seleda Perryman,
Office of the Secretary, Paperwork Reduction
Act Reports Clearance Officer.
[FR Doc. E9–7654 Filed 4–3–09; 8:45 am]
BILLING CODE 4150–03–P

DEPARTMENT OF HEALTH AND
HUMAN SERVICES

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Meeting of the Chronic Fatigue
Syndrome Advisory Committee
AGENCY: Department of Health and
Human Services, Office of the Secretary,
Office of Public Health and Science.
ACTION: Notice.
SUMMARY: As stipulated by the Federal
Advisory Committee Act, the U.S.
Department of Health and Human
Services is hereby giving notice that the

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19:48 Apr 03, 2009

Number of
respondents

Type of respondent

Jkt 217001

Average
burden hours
per response

Total burden
hours

Parents of children
ages 10–14.
Parents of children
ages 10–14.

1,000

1

24/60

400

1,000

2

24/60

800

.......................................

2,000

........................

........................

1,200

Chronic Fatigue Syndrome Advisory
Committee (CFSAC) will hold a
meeting. The meeting will be open to
the public.
DATES: The meeting will be held on
Wednesday, May 27, 2009, and
Thursday, May 28, 2009. The meeting
will be held from 9 a.m. until 5 p.m. on
both days.
ADDRESSES: Department of Health and
Human Services; Room 800 Hubert H.
Humphrey Building; 200 Independence
Avenue, SW.; Washington, DC 20201.
FOR FURTHER INFORMATION CONTACT:
Wanda K. Jones, Dr. P.H.; Deputy
Assistant Secretary for Health (Women’s
Health); Department of Health and
Human Services; 200 Independence
Avenue, SW.; Hubert Humphrey
Building Room 712E; Washington, DC
20201; (202) 690–7650.

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responses per
respondent

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CFSAC
was established on September 5, 2002.
The Committee was established to
advise, consult with, and make
recommendations to the Secretary,
through the Assistant Secretary for
Health, on a broad range of topics
including (1) The current state of the
knowledge and research about the
epidemiology and risk factors relating to
chronic fatigue syndrome, and
identifying potential opportunities in
these areas; (2) current and proposed
diagnosis and treatment methods for
chronic fatigue syndrome; and (3)
development and implementation of
programs to inform the public, health
care professionals, and the biomedical,
academic, and research communities
about chronic fatigue syndrome
advances.

SUPPLEMENTARY INFORMATION:

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