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April 2010 (March 12, 2010 to April 8, 2010)

In This Issue:
Inflation and Prices

Labor Markets

 Survey-Based Measures of Inflation Expectations

 Hours and Labor Market Slack

Financial Markets, Money and Monetary Policy

Banking and Financial Institutions

 Market Expectations for Monetary Policy in the U.S.
and Europe

 Commercial Bank Lending
Growth and Production

Households and Consumers

 An Immoderate Inventory Cycle

 Personal Savings Up, National Savings Down

Inflation and Prices

Survey-Based Measures of Inflation Expectations
04.05.10
by Mehmet Pasaogullari and Tim Bianco
Expectations play a central role in economics.
When faced with a pricing or an investment decision, people typically consider what they expect the
future to look like and base their decisions accordingly. Their expectations for inflation not only
reflect their perceptions about the future, they also
directly affect actual levels of current and future
inflation. Because of their importance in shaping
economic outcomes, the expectations about the future price level are one of the major areas on which
central banks focus.
There are two sources of data on inflation expectations. One is derived from market prices of various
financial securities; the other is surveys of the general public and professional forecasters and economists. A well-known market-based measure uses the
spread between the yields of nominal Treasuries and
TIPS. Another is inflation swap rates. (For a new,
model-based measure of inflation expectations that
uses these market prices, see this Economic Commentary). Popular surveys of expectations include
the University of Michigan’s Survey of Consumer
Attitudes and Behavior (U of M survey), the Survey
of Professional Forecasters (SPF), and the Blue
Chip Survey.
Here we look at recent trends in these survey-based
measures of inflation expectations. Survey-based
measures provide some information that most
market measures don’t, including shorter-term expectations and distributions among different survey
participants.
The respondents of the U of M survey are consumers. Among other things, they are asked how much
they expect prices to change over next 12 months,
but in general terms, not relative to any price
statistic or consumption basket. In contrast, the
SPF and the Blue Chip Survey ask participants—
professionals and economists—for their inflation
expectations with respect to particular measures
including the CPI. The SPF and Blue Chip SurFederal Reserve Bank of Cleveland, Economic Trends | April 2010

2

One-Year-Ahead Inflation Expectations
and CPI Inflation
Percentage rate
8
7
6

SPF

5

Start of current
recession
University of Michigan

4
3
2
1
0

Annual CPI
(lead 12 months)

Blue Chip

-1
-2
1981 1984 1987 1990 1993 1996 1999 2002 2005 2008
Sources: University of Michigan, Federal Reserve Bank of Philadelphia, Blue
Chip Newsletter, Bureau of Labor Statistics and NBER.

vey ask respondents about their inflation expectations for specific quarters, and the annual inflation
expectations are computed from the quarterly
figures. In addition, the SPF is conducted quarterly,
whereas the other two are conducted monthly. We
interpolated monthly figures for the SPF from the
quarterly ones.
When the inflation expectations calculated from
these three surveys (specifically, the median expectation for the next year) are plotted alongside CPI
inflation that has been shifted 12 months forward
(to line up expectations with the inflation they
predict), we see that the survey-based estimates are
imperfect predictors of actual inflation. In relatively stable periods, they are better in forecasting,
but they generally fail to predict big movements in
inflation. Another observation is that early in recessions, expectations generally exceed actual inflation.
This may reflect the difficulty in predicting recessions since recessions are generally associated with
less inflationary pressure.
Median short-term inflation expectations increased
at the onset of the recession, but they dropped
sharply during the financial crisis. They have picked
up to moderate levels since March 2009. The
swings following the recession were substantial;
for example, U of M expectations declined to 1.7
percent in December 2008 from 5.2 percent in
May 2008. For the other two surveys, the declines
were not as large, but they were still significant:
1.1 percent for the SPF from the second quarter of
2008 to the first quarter of 2009, and 1.5 percent
for the Blue Chip Survey from May 2008 to March
2009. Since then, U of M inflation expectations
have displayed a rising trend, reaching 2.7 percent
in February 2010, while both of the other measures
have hovered around 1.7 percent to 1.8 percent.
What about longer-term inflation expectations?
Median 5-year inflation expectations from the
U of M survey have shown a declining pattern since
mid-2008. The 5-year inflation expectation from
the SPF declined until recently, while the 10-year
expectation hardly moved except for the last quarter
of 2009. These two measures bounced up in the
first quarter of 2010.
On the other hand, a market-price-based measure

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

3

Medium-Term Inflation Expectations
Percentage rate
4.5
University of Michigan 5-year

4.0

Start of current
recession

3.5
3.0

SPF 10-year

2.5
SPF 5-year

2.0

5-year ahead
5-year forward

1.5
1.0
0.5
0.0
1991

1994

1997

2000

2003

2006

2009

Sources: Federal Reserve Bank of Philadelphia, University of Michigan,
Federal Reserve Board, NBER.

The University of Michigan
One-Year-Ahead Inflation Expectations
Percentage rate
16
14

75th percentile
Start of current
recession

12
10
Median

8

Range

6
4
2
0

25th percentile

-2
1978 1981 1984 1987 1990 1993 1996 1999 2002 2005 2008
Sources: University of Michigan and NBER.

SPF One-Year-Ahead Inflation
Expectations
Percentage rate
12
Start of current
recession

10
Top 10 average

8

Median

6
Bottom 10 average

4
2

Range

0
1981 1984 1987 1990 1993 1996 1999 2002 2005 2008

of inflation expectations (from 5- and 10-year TIPS
and nominal Treasury securities), which we plotted
for comparison, has been quite volatile in this recession. It rapidly declined to 0.7 percent in December 2008 from its level of around 2.6 percent in the
earlier months of 2008. Since then, it has gradually
been increasing, and as of February 2010, it is 2.6
percent. Though we have used this measure to alleviate problems arising from liquidity and inflation
risk premiums, its volatile behavior shows that it
may be substantially contaminated by these effects.
Overall, recent longer-term inflation expectations
are below or around their historical averages, showing no substantial pressure for future inflation.
The median values from the surveys show only a
general tendency for inflation expectations. When
we look at the distribution of expectations among
the survey respondents, we see substantial disagreement. While such disagreement used to be associated with the volatility of the economic environment, it may also arise from different perspectives,
experiences, or information sources among the
participants. Whatever the underlying source, the
divergence of expectations for short-term inflation
picked up substantially following the recession.
During the volatile period of 2008, the range
between the 25th and 75th percentiles of 1-year
inflation expectations from the U of M survey was
at its highest level since the early 1980s disinflationary period. SPF 1-year inflation expectations
also became more dispersed during this time. Some
participants of the surveys expected a disinflationary or deflationary period, while others expected an
increase in inflation. (The deflationary expectations
can be seen in the 25th percentile of the 1-year
U of M inflation expectations, which were negative
between November 2008 and April 2009. Although
we can see a disinflationary expectation for some
SPF respondents, we don’t see a negative figure for
the average of the bottom 10 of the SPF.) This, in
itself, shows how volatile the environment was after
the financial crisis. The dispersion of expectations
is still quite high, although it has declined substantially recently.
Disagreement about longer-term expectations also
increased in this recession according to the U of M

Sources: Federal Reserve Bank of Philadelphia and NBER.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

4

The University of Michigan
Five-Year-Ahead Inflation Expectations
Percentage rate
8
7
6

Start of current
recession

75th percentile

5
Median

4

Range

3
2
1

25th percentile

0
1991

1994

1997

2000

2003

2006

2009

Sources: University of Michigan and NBER.

SPF 10-Year-Ahead Inflation Expectations
Percentage rate

Survey and the SPF. However, it did not increase
quite as substantially as it did for short-term expectations.
In sum, we see that the short-term inflation expectations were very volatile following the recession and that, recently, median expectations have
hovered around 2 percent and 2.5 percent (respectively, for professional forecasters and consumers).
However, there was substantial disagreement about
future inflation expectations early in the recession,
reflecting opposite concerns among survey participants: some fear deflation or disinflation and others
fear higher inflation. The longer-term inflation
expectations are currently around their historical
levels, and the dispersion for these expectations also
reflects a better anchoring of inflation rates over the
longer term.
For the Federal Reserve Bank of Cleveland’s Commentary
“A New Approach to Gauging Inflation Expectations ” visit
http://www.clevelandfed.org/research/commentary/2009/0809.cfm

6
Start of current
recession

Top 10 average

5
4

Median

3
2

Bottom 10 average

1
Range

0
1991

1994

1997

2000

2003

2006

2009

Sources: Federal Reserve Bank of Philadelphia; NBER

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

5

Financial Markets, Money and Monetary Policy

Market Expectations for Monetary Policy in the U.S. and Europe
03.24.10
by Tim Bianco, Kent Cherny, Ben Craig, and
John Lindner
On March 16, the Federal Open Market Committee (FOMC) released a statement saying it
would hold the Federal Funds target rate at 0 to
1/4 percent, and that “low rates of resource utilization, subdued inflation trends, and stable inflation
expectations, are likely to warrant exceptionally low
levels of the federal funds rate for an extended period.” The Committee also confirmed that the end
of March would see the sunset of Fed purchases of
agency mortgage-backed securities and agency debt,
which have been executed in the amounts of approximately $1.25 trillion and $175 billion, respectively, over the past year.
Was the market surprised by anything in this statement? One measurement of expectations—Eurodollar futures—suggests not. Eurodollar deposit
rates are the rates paid on large deposits of dollars
in foreign banks. Eurodollar futures are contracts
to lend Eurodollars at a given interest rate for a
particular length of time at a specified future date.
The market for these instruments is heavily traded,
and therefore it provides a reliable gauge of how the
capital markets expect short-term, dollar-denominated interest rates to move in a set period of time.
(Typically, we would look at federal funds futures
to gauge market expectations for short-term rates,
but this market has not been functioning normally
with fed funds rates near zero.)

Eurodollar Forward Rate Curves
Percent
3.00
2.50

USD 3/17/2010
USD 3/15/2010

2.00
1.50
1.00
0.50
0.00
6/10

12/10

6/11

12/11

6/12

12/12

Note: Derived from 3-month Eurodollar and Euribor Futures.
Source: Bloomberg

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

The chart at left shows the interest rates associated
with 90-day Eurodollar futures to be delivered
between June 2010 and December 2012. The
upward slope of the curve indicates that markets are
pricing in an increase in short-term interest rates
over the next year and half. Since there is not much
room for rates to go anywhere but up, this isn’t
really surprising or insightful. It is more useful to
compare the curve prior to the March 16 FOMC
meeting and after it. Doing so, we see that the
curve experienced a parallel shift of about 5 basis
points (0.05 percent) following the meeting. There
6

was some downward revision of expectations, but
not much—the market basically got what it expected from the FOMC statement: low rates for an
“extended period.”

Sovereign Credit Default Swaps
Spread on 5-year swaps, in basis points
450
400
350

Greece

300
250
200

Spain

150
100
Italy

50
0
9/08

Germany
12/08

3/09

6/09

9/09

12/09

3/10

Source: Bloomberg.

Eurodollar Forward Rate Curves

As has been heavily reported in the financial press,
Greece’s budget deficit this year (in the doubledigits as a percentage of GDP) has prompted concern about the near-term sustainability of its fiscal
policy. Although Greece is small relative to many of
its European neighbors, its fiscal situation and debt
market troubles have also brought suggestions that
other, larger EU countries—like Spain and Italy—
may themselves be increasingly risky to creditors
because of similar fiscal imbalances.

Percent
3.00
2.50
2.00

Interest rates on euro-denominated contracts, however, have fallen further than their dollar-denominated counterparts. In the same period around the
FOMC meeting, expectations for short-term euro
rates fell 9 or 10 basis points. What’s more, the
crossing of the dollar and euro curves shows that
while euro rates are currently above those of dollar
rates, the market expects the monetary policy in
the euro-area to stay looser for longer than in the
United States. This may have to do, in part, with
fiscal concerns about a number of European countries.

USD 3/17/2010
USD 3/15/2010
Euro 3/17/2010
Euro 3/15/2010

1.50
1.00
0.50
0.00
6/10

12/10

6/11

12/11

6/12

12/12

Note: Derived from 3-month Eurodollar and Euribor Futures.
Source: Bloomberg

The perceived credit risk of these countries is best
seen in their credit default swap spreads. Protection
against a Greek government default is more than
six times as expensive as similar protection against a
default by Germany, which is the largest EU economy and one with a stronger fiscal outlook. Protection against default for two other large European
countries—Spain and Italy—is more than twice as
expensive as for Germany. The implications of these
fiscal developments for issues of financial stability
and economic fragility may well keep monetary
policy, and thus short-term interest rates, loose in
the euro area longer than in the United States.
FOMC March 16 statement:
http://www.federalreserve.gov/newsevents/press/
monetary/20100316a.htm
Federal Funds Rate predictions from FRBC:
http://www.clevelandfed.org/research/data/fedfunds/index.cfm
Economic Commentary “Credit Default Swaps and Their Market
Function”:
http://www.clevelandfed.org/research/commentary/2009/0709.cfm

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

7

Households and Consumers

Personal Savings Up, National Savings Down
03.19.10.
by Daniel Carroll and Beth Mowry
Saving is the engine that drives long-run economic
growth by providing funds for investment in capital
and projects, which then produce output in the
future. Since the early 1980s the personal savings
rate, the fraction of after-tax (or disposable) income
households save, has trended downward. Household savings end up as investment either directly,
like when a household directly purchases equity, or
indirectly, when a household puts its savings in a
bank, which uses those funds for lending.
In 1982, the personal savings rate was nearly 11
percent of disposable income. In contrast, by 2005
personal savings represented only 1.4 percent of
disposable income. This steady decline in the savings rate of U.S. households has concerned economists, so it may be seen as promising that the trend
reversed direction during the latest downturn. In
2008, the personal savings rate rose to 2.6 percent
and in 2009 reached 4.3 percent, its highest level
since 1998.

Personal Savings Rate
Annualized percentage
12

To understand the reason for this uptick, it helps to
know how the savings rate is calculated. The personal savings rate can be expressed as one minus the
ratio of household personal outlays (that is, spending) to disposable income (personal income minus
personal taxes). This leads to the following simple
equation:

10
8
6
4
2
0
1980

Personal Savings Rate = 100

1985

1990

1995

2000

2005

Source: Bureau of Economic Analysis.

* (1

Personal outlays
Personal income Personal taxes

) percent

This equation shows that changes in the personal
savings rate must be associated with at least one of
the following: increased personal income, reduced
personal outlays, or decreased personal taxes. Let’s
take a look at the trends in each of these components in turn.
Over the past five years, personal income growth
has slowed. Personal income grew at annual rates of
7.5 percent in 2006 and 5.6 percent in 2007, but
following the onset of the last recession, income
slowed to 2.9 percent in 2008 and fell in 2009 to

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

8

Percentage Change in Components of
Personal Savings Rate
Percentage change
20

−1.7 percent. Taken in isolation, a declining trend
in personal income reduces the personal savings
rate. Since the personal savings rate has risen, the
cause for the increase must be found in the other
two factors.

15
10
5
0
-5
-10
-15
-20

Income
Outlays
Taxes
Disposable income

-25
2005

2006

2007

2008

2009

Source: Bureau of Economic Analysis.

Turning to the second component, personal outlays, primarily households’ expenditures on consumption goods and services, have also declined,
though less precipitously than personal income. After growing at an average annual rate of 5.7 percent
from 2005-2007, personal outlays grew in 2008
by only 2.9 percent, and in 2009 shrank slightly
(−0.6 percent). A decline in outlays does move the
personal savings rate upward, but it cannot be the
main factor behind the rise in the rate because personal income fell by an even greater percentage.
The rise in the personal savings rate then must be
driven by the third component, personal taxes.
The tax cuts in the 2008 and 2009 stimulus packages caused personal current taxes to fall by annual
rates of 3.9 percent and 23.1 percent. This decline
in tax liability more than offset the fall in personal
income, meaning disposable income rose by 3.9
percent and 1.1 percent in 2008 and 2009, respectively. The positive growth in disposable income
generated by these large reductions in tax liabilities,
combined with the modest reductions in household
expenditures, has led to the recent increase in the
personal saving rate.
One may wonder if this change in household savings signifies a long-lasting change in households’
saving behavior. For now, the answer is not certain.
Surely, some of the decline in consumption expenditures has been caused by the sizeable downward
adjustments to households’ net worth from the
financial crisis. As the economy recovers and net
worth increases, households may revert back to
their previous low levels of saving. We cannot look
to persistent increases in disposable income from
tax breaks to keep increasing the personal savings
rate either. The federal government cannot continue to shrink tax liabilities at the current rates
because it must manage future budget challenges.
Over the long term, increases in the personal savings rate must come from reductions in household

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

9

Net National Savings and its Components
Quarterly, 2005:Q1 to 2009:Q3

consumption relative to income, not from shortrun tax breaks.

Billions of U.S. dollars

Finally, we should consider whether the current
increase in private savings has had much impact on
national savings. National savings consists of personal, business, and government savings. Of these,
personal savings has made up nearly 55 percent of
net savings by the private sector over the last thirty
years. Yet despite the rise in the household savings rate and a similar rise in business savings, net
national savings have declined rapidly. In fact, in
2008 net national savings became negative for the
first time since the Great Depression. As a result,
the shortfall in national savings must be made up
through borrowing and investment from abroad.
The costs to the U.S. of using more foreign financing are that a fraction of the gains from future
growth must be paid back.

1,000
500
0
-500
-1,000
-1,500
2005

Net national saving
Personal saving
Business saving
Net government saving
2006

2007

2008

2009

Source: Bureau of Economic Analysis.

How is this decline in national savings possible
given the documented rise in household and business savings? The answer is that government savings has become so negative that it overwhelms the
savings of the private sector. This has been due in
large part to increases in government spending, but
the reduction in government tax revenues has also
played a role. The recent gains to personal savings
from decreased tax liabilities to households were
completely offset by corresponding losses to government savings from reduced tax revenue.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

10

Labor Markets, Unemployment, and Wages

Hours and Labor Market Slack
04.07.10
by Murat Tasci and Beth Mowry
Payroll employment has declined substantially
over the course of past two years. Since December 2007, when the most recent recession began,
payrolls declined by more than 8.4 million, about
6.1 percent. At the same time, we experienced one
of the sharpest increases in the unemployment rate
in U.S. history, from 5 percent to 10.1 percent this
past October, before coming down to 9.7 percent.
Even though it is widely thought that the aggregate
economy came out of the recession in the second
quarter of 2009, we have not yet seen a major
improvement in the labor market. As a result, many
are concerned about the potentially “jobless” nature
of the recovery (see our Commentary on the topic).
Measures of the demand for labor are still weak,
and firms could get away without hiring because
there is a significant pool of workers who could, in
principle, supply more hours.
One way employers can increase production before
hiring new workers is to increase the average hours
of their workforces. If the demand for their products is uncertain as the recovery is taking hold,
firms have the option of adjusting hours per worker
and avoiding a costly recruitment. It turns out that
during the recent downturn, average hours declined
substantially, so employers have a significant margin to work with before they have to start adding to
payrolls.

Average Weekly Hours of
Production Workers
Hours
40

Hours
42
41

Manufacturing

39
38

40

37

39

36
Total private industries

38

35
34

37

33

36
32
1964 1969 1974 1979 1984 1989 1994 1999 2004 2009
Note: Shaded bars indicate recessions.
Source: Bureau of Labor Statistics.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

The average weekly hours of production and
nonsupervisory workers was at 33.9 hours at its
peak, right before the beginning of the recession.
It declined to 33.1 in the second quarter of 2009,
which was a record low. It is currently at 33.1. This
measure has shown a significant trend decline over
time, but it still reveals a lot of high-frequency
movements around the business cycle turning
points. Namely, when the economy enters a recession, job cuts and reductions in hours translate into
a decline in average hours. The decline during the
most recent recession was one of the largest. We
are still somewhat below the implied trend level,
11

so there is still some room for employers to adjust
hours per worker. However, if the more general
trend decline continues, we may never see a significant uptick back to prerecession levels.

Average Weekly Overtime: Manufacturing
Hours
5.5
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1964 1969 1974 1979 1984 1989 1994 1999 2004 2009
Note: Shaded bars indicate recessions.
Source: Bureau of Labor Statistics.

Part-Time Workers for Economic Reasons
as a Percentage of Total Employment
Percent
7.0
6.0
5.0
4.0
3.0
2.0
1.0
1955

1965

1975

1985

1995

2005

Note: Shaded bars indicate recessions.
Source: Bureau of Labor Statistics.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

The average weekly hours in manufacturing has
always been a more volatile series relative to that
of the total private sector. The decline in the average workweek in manufacturing during the most
recent recession was also quite striking by historical
standards. The good news is that, since the sharp
drop to 39.5 hours, the average workweek in this
sector has started to improve. It is around 40.8,
which is quite close to the average of the past 30
years. Indeed, once manufacturing hours started to
improve, job losses in manufacturing declined and,
finally, after two years of decline, manufacturing
employment gained modestly in the first quarter of
2010.
The average hours of weekly overtime is another
potential labor buffer in which we can see the effects of business cycle fluctuations. Throughout
the most recent recession we have seen one of the
largest drops in this measure, but it started to rise
during the past two quarters. Adjusting overtime
hours can be only a temporary solution for firms,
but it might give many of them just a little more
flexibility before they must start to hire again.
Measures of the average hours in a workweek,
either for manufacturing or the total private sector,
are aggregate measures. They do not distinguish
between part-time or full-time workers. One troubling trend we saw in the most recent recession was
the increase in the number of workers who work
part-time for economic reasons. The figure climbed
to 6.7 percent of total employment, the highest it
has been since the 1981-82 recession. Workers are
classified in this group in the BLS’s Current Population Survey for two possible reasons: They work
part-time because business is slack, or they could
not find a full-time job even though they wanted
to.
It turns out that the rise in this group’s share of
total employment was due to the growing number
of those in the former group. The number of workers who worked part-time due to economic reasons
12

Part-Time Workers by Reason
as a Percentage of Total Employment
Percent
5.5
5.0
4.5
Slack work or
4.0
business conditions
3.5
3.0
2.5
2.0
1.5
1.0
0.5
1955
1965
1975

Could only find
part-time work
1985

1995

2005

Note: Shaded bars indicate recessions.
Source: Bureau of Labor Statistics.

was around 4.5 million at the onset of the recession
(around 3 percent of total employment), which
increased to more than 9.2 million (6.7 percent) by
last November. More than 80 percent of those additional 4.5 million workers are working part-time
not because they could find only part-time jobs but
because their employers could afford only part-time
workers, given the demand for their business.
As we have argued above, these workers constitute a large enough pool that firms could ramp up
production and still avoid costly hiring and recruitment by just moving these part-time workers to
full-time. Currently, the fraction of these workers is
still far from its long-term average, which is more
consistent with prerecession levels. Fortunately
though, this measure has started to decline in the
past four months. The sooner firms use up these
underutilized resources, the sooner they will start
hiring new workers.
For the Federal Reserve Bank of Cleveland’s Commentary
“Are Jobless Recoveries the New Norm?” visit
http://www.clevelandfed.org/research/commentary/2010/2010-1.cfm

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

13

Banking and Financial Institutions

Commercial Bank Lending
03.12.10
by James B. Thomson and Kent Cherny
As the economy emerges from its economic winter,
concerns remain about the fragility and robustness of the recovery, in part because of anecdotal
evidence that credit flows have yet to return to
normal. The most recent data from one of the most
important credit channels, commercial bank lending, adds credence to these concerns.

Bank Assets
Trillions of dollars
18
16

Assets
Asset growth

Annual growth rate (percent)
14.00
12.00
10.00

14

8.00

12

6.00

10

4.00

8

2.00

6

0.00

4

–2.00

2

–4.00
–6.00

0
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Source: Bank Call Reports.

Net Loans and Leases
Trillions of dollars
9
Net loans
Loan growth
8

Annual growth rate (percent)
14.00
12.00
10.00

7

8.00

6
5

6.00
4.00

4

2.00
0.00

3

–2.00
2

–4.00

1

–6.00

0

–8.00
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Source: Bank Call Reports.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

In terms of commercial banks’ total assets, the U.S.
banking system grew at an average rate of 9 percent from 2000 through 2008, with yearly growth
ranging from just over 5 percent in 2001 to nearly
13 percent in both 2006 and 2007. Banking system
growth slowed in 2008 to just over 7 percent,
before turning negative in 2009, as the industry
shrank by over 4 percent.
The trend in commercial bank assets tells only part
of the story. Over the past decade, lending has accounted for only 52 percent of bank assets on average (lending consists of net loans and leases). This
means that changes in bank assets may not provide
an accurate picture of what is happening with bank
credit. This is especially true in 2008 and 2009,
as Federal Reserve actions to contain the financial
crisis and restore credit flows more than doubled
the level of bank reserves—bank reserves rose from
an average of 5 percent of assets from 1998 through
2007 to over 8 percent of assets in 2008 and 2009.
The growth of net loans and leases mirrors that of
bank assets through 2007. (Net loans and leases
are total loans and leases less reserves set aside for
loan losses.) Loan growth is much weaker than asset
growth after 2007, as bank loan growth in 2008 fell
to under 3 percent in 2008 and shrank at a rate of
6 percent in 2009.
From the standpoint of an economic recovery, two
forms of bank lending are especially important,
commercial and industrial (C&I) lending and commercial real estate (CRE) lending. These represent a
major source of credit for businesses of all sizes, but
particularly small and medium-sized firms. Com14

mercial and industrial loans contracted at a rate of
20 percent in 2009. Commercial real estate loans
have fared slightly better that net loans and leases
and much better than commercial and industrial
loans, as this category of lending shrank only 4
percent in 2009. By all measures discussed so far—
from total assets to commercial real estate loans—
bank credit declined in 2009.

Commercial Credit
Trillions of dollars
4.0
CRE loans
C&I loans
3.5
C&I loan growth
3.0

Annual growth rate (percent)
25.00
20.00

CRE loan growth

15.00
10.00

2.5

5.00

2.0

0.00

1.5

–5.00
–10.00

1.0

–15.00
0.5

–20.00

0

–25.00
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Source: Bank Call Reports.

Off-Balance-Sheet Credit
Trillions of dollars
12
Securitized loan exposure
Letters of credit
10

Annual growth rate (percent)
15.00
Credit lines
Credit line growth
10.00
5.00

8

0.00
6
–5.00
4

–10.00

2

–15.00
–20.00

0
2001 2002 2003 2004 2005 2006 2007 2008 2009

These measures reflect assets that are on banks’ balance sheets. Increasingly, on-balance-sheet measures
of credit tell an incomplete story about the bank
lending channel. Some types of credit don’t appear
on balance sheets, and some loans have been taken
off.
Bank lines of credit are commonly used by business customers for backup credit. Businesses that
regularly fund themselves in the commercial paper
market, for example, often have bank credit lines as
backup sources of funding as a hedge against a disruption in their ability to borrow in the commercial
paper market. In addition, a number of businesses
use credit lines as liquidity facilities–drawing
them down temporarily to cover unexpected expenses or to take advantage of an unforeseen investment opportunity. Letters of credit allow customers
to get credit from other sources, such as a business
getting trade credit from a supplier.
Both undrawn lines of credit and letters of credit
represent an off-balance-sheet form of credit availability, but neither results in an on-balance-sheet
asset when it is created. A credit lines becomes an
on-balance-sheet asset only after it is drawn on, and
a letter of credit only if a bank takes over the loan
backed by the letter.
Banks also sell or securitize a number of loans they
make, causing on-balance-sheet loans to understate
the amount of credit being intermediated.
Both securitized asset exposure and letters of credit
declined in 2009 at a rate exceeding 4 percent.
More troubling is the sharp contraction in banks’
undrawn lines of credit—this source of credit fell
11 percent in 2008 and 16 percent in 2009. With
on-balance-sheet loans declining in 2009, it is clear
that the declines in off-balance-sheet credit facilities

Source: Bank Call Reports.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

15

Commercial Credit Facilitated
Annual growth rate (percent)

Trillions of dollars
8
Credit facilitated
Growth in credit
7

20.00
15.00

6

10.00

5
5.00
4
0.00
3
–5.00

2

–10.00

1

–15.00

0
2002

2003

2004

2005

2006

2007

2008

2009

Source: Bank Call Reports.

Total Bank Credit Facilities
Trillions of dollars
20
18
16
14
12
10
8
6
4
2
0

Annual growth rate (percent)

Total credit
Growth in credit

15.00
10.00
5.00
0.00
-5.00
-10.00
-15.00

2002 2003 2004 2005 2006 2007 2008 2009
Source: Bank Call Reports.

are due, in part, to a retrenchment in bank credit
facilities and credit substitutes.
While all of these components of the bank credit
channel showed increasing weakness after the financial crisis of 2007, comprehensive measures of bank
credit have also contracted. The figures below show
two such measures. Commercial credit facilitated
by the banking system measures on-balance-sheet
business loans and off-balance-sheet credit facilities.
Total bank credit activities is a measure of onbalance-sheet net loans and leases plus total off-balance-sheet credit facilities. Both commercial credit
facilitated and total credit facilitated by banks
peaked in 2007 and have declined subsequently.
Commercial credit facilities fell by 2 percent and
10 percent in 2008 and 2009, while total credit
facilities shrank by 2 percent and 9 percent over the
same time period.

Growth and Production

An Immoderate Inventory Cycle
04.12.10
by Ken Beauchemin
The final estimate of fourth-quarter real GDP
growth registered 5.6 percent, but was revised
down from the second estimate of 5.9 percent. It
was, nevertheless, substantially higher than the 2.2
percent pace recorded in the third quarter. To better
understand the apparent strength in fourth quarter
activity, it is instructive to split GDP into two basic
components: final sales of gross domestic product
and the change in private inventories. Because
GDP measures the flow of output produced during
a given quarter, the portion of product unsold at
the close of the quarter is counted as an investment
in inventories. Final sales represent everything else
and include all of the familiar expenditure components (consumption, investment, net exports, and
government purchases) and their subcomponents.
A look at each component shows that the developments in inventories were responsible for the apparently strong fourth quarter of 2010. Although firms
cut inventories as in the preceding quarter, they did
so less severely, so that inventory investment actually added 3.8 percentage points to growth. Final
sales rose at moderate 1.7 percent pace, up slightly
from the 1.5 percent rate posted in the third quarter, and contributed the remaining 1.8 percentage
points to fourth quarter GDP growth. In sum,
fourth quarter strength was the result of inventory
liquidation happening at a slower pace than in the
third quarter. In situations like the current one,
final sales growth renders a clearer signal of the
underlying strength of the economy. We are surely
recovering from the Great Recession, but not nearly
as rapidly as suggested by the latest GDP figure.
If ordinary intuition is vexed by inventory logic,
then some basic arithmetic may help clear it up. In
the table below, the second column gives the value
of inventory investment in each quarter during the
2007-09 period. A positive number signifies an accumulation of inventories—or production in excess
of sales—and a negative number indicates a decumulation (sales in excess of production). The third

column shows the value of the stock of inventories
present at the end of the indicated quarter—in
other words, the value unsold cars on lots, oil in
storage tanks, grain in silos, and a myriad of other
goods in warehouses and on store shelves. From the
table, one can easily verify that the inventory stock
in place at the close of given quarter is equal to the
existing stock from the preceding quarter plus the
amount of inventory investment during the quarter (divided by four since GDP component flows,
including inventory investment, are reported at
annual rates).

Contributions of Investment and Final Sales to GDP
Inventory investment
(billions of chainweighted dollars)

Invenstory stock
Change in investment
(billions of 2005 chain(billions of 2005
weighted dollars)
dollars)

Inventory contribution
to GDP (percent)

Final sales contribution
to GDP (percent)

GDP growth

2007:Q1

14.5

1828.8

2.6

−0.62.6

1.8

1.2

2007:Q2

23.3

1834.6

6.5

0.2

3.4

3.6

2007:Q3

29.8

1842.1

6.5

0.2

3.4

3.6

2007:Q3

10.3

1844.7

−19.5

−0.6

2.8

2.1

2008:Q1

0.6

1844.8

−9.7

−0.2

−0.5

−0.7

2008:Q2

−37.1

1835.5

−37.7

−1.3

2.7

1.5

2008:Q3

−29.7

1828.1

7.4

0.3

−2.9

−2.7

2008:Q4

−37.4

1818.8

−7.7

−0.6

−4.7

−5.4

2009:Q1

−113.9

1790.3

−76.5

−2.4

−4.1

−6.4

2009:Q2

−160.2

1750.2

−46.3

−1.4

0.7

−0.7

2009:Q3

−139.2

1715.4

21.0

0.7

1.6

2.2

2009:Q4

−19.7

1710.5

119.5

3.8

1.8

5.6

Sources: Bureau of Economic Analysis and author’s caluclations.

Published GDP growth rates typically compare the
magnitude of real GDP in a given quarter with that
of the prior quarter, with the growth rate subsequently annualized. As part of this calculation,
inventory investment is naturally compared to the
previous level of inventory investment. The quarterto-quarter changes in inventory investment are reported in the table as well. The big push to GDP by
inventory investment in the fourth quarter is now
apparent. The change in inventory investment from
the third quarter of 2009 to the fourth was a massive $119.5 billion increase, leading to the outsized
3.8 percentage point fourth quarter contribution
from inventory investment—despite the fact the
stock of inventories continued to fall. They fell, but
at a much slower pace than previously.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

18

Although the outsized 3.8 percent contribution
from inventory investment in the fourth quarter
is not without precedent, it is the largest since the
first quarter of 1984 in the wake of the severe 1982
recession—just prior to the beginning of the period
dubiously dubbed “the Great Moderation.” During
that period, there were only two recessions, both
mild and in which firms met with more success
managing inventories. Perhaps in an exercise putting the cart before the horse, some economists
championed better inventory control as a driving
force behind the Great Moderation. Recent experience casts that conclusion into doubt. In either a
failure to properly anticipate the dramatic collapse
in demand, or to adjust production levels quickly
enough, inventory slashing continued well into
the second half of 2009, setting up the dramatic
slowdown that led to the surprise contribution of
inventory to GDP in the fourth quarter.
This raises the dual question: how much further
will inventories fall in the coming months, and
how fast will they fall? The answer depends largely
on the present size of inventories relative to current
sales. Because changing the rate of production is
typically costly, inventories provide a useful buffer
between production and fluctuations in demand,
hence the fluctuations observed over the past few
years. But carrying inventories is also costly.
Over time, firms will seek to match inventories and
sales by striving to maintain a target inventory-sales
ratio. By my own calculations, the ratio is roughly
4.3 percent below its trend in the fourth quarter.
(The ratio I applied includes the final sale of goods
only. The goods-only ratio produces a better benchmark or target since inventories naturally comprise
only merchandise, whereas final sales of GDP also
include services.) Interpreting the trend ratio as the
target and applying historical rates of “error correction,” implies that the target ratio will be virtually
restored by the end of 2010. If so, we can look for
rising inventory levels soon, perhaps as early as the
first quarter of 2010, along with another substantial
positive contribution from inventory investment to
GDP growth. Inventory contributions should revert to smaller, and more historically normal levels,
in the second half of the year.

Federal Reserve Bank of Cleveland, Economic Trends | April 2010

19

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