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Economic Trends
May 2008
(Covering April 10, 2008, to May 9, 2008)

In This Issue
Inflation and Prices
March Price Statistics
Money, Financial Markets, and Monetary Policy
Supplying Liquidity: The Tried and True and the New
The Yield Curve
International Markets
Bifurcation?
Economic Activity
The Employment Situation
Real GDP 2008:Q1 Advance Estimate
What Interest Rate Spreads Can Tell Us about Mortgage Markets
Regional Activity
Mortgage Delinquencies in Fourth District Metropolitan Areas
Fourth District Employment Conditions, February
Banking and Financial Institutions
Fourth District Bank Holding Companies

Inflation and Prices

March Price Statistics
05.01.08
Michael F. Bryan and Brent Meyer

March Price Statistics
Percent change, last
1 mo.a 3 mo.a 6 mo.a 12 mo.

5 yr.a

2007
avg.

Consumer Price Index
All items

4.2

3.1

4.6

4.0

3.0

4.2

Less food and energy

1.8

2.0

2.3

2.4

2.2

2.4

Medianb

3.1

2.9

3.2

3.0

2.7

3.1

3.7

3.0

3.1

2.8

2.5

2.8

13.9

10.2

10.8

6.9

4.1

7.1

3.0

5.0

3.6

2.8

1.9

2.9

16% trimmed

meanb

Producer Price Index
Finished goods
Less food and energy

a. Annualized.

b. Calculated by the Federal Reserve Bank of Cleveland.
Sources: U.S. Department of Labor, Bureau of Labor Statistics; and Federal Reserve
Bank of Cleveland.

The Consumer Price Index (CPI) rose at an annualized rate of 4.2 percent in March, returning to
its recent elevated trend after a respite in February,
when it increased only 0.3 percent (annualized rate).
The CPI is up 4.6 percent over the past six months.
Contrasting the rather sizeable increase in the overall CPI, the CPI excluding food and energy (core
CPI) increased only 1.8 percent during the month.
Some analysts may point to March’s relatively subdued increase in the core CPI and see inflation as
contained (especially when you factor in February’s
0.5 percent increase). Unfortunately, last month’s
relatively tranquil core CPI seems to be an aberration. Nearly 55 percent of the components of the
CPI index rose in excess of 3.0 percent in March,
compared to 32 percent in February, and roughly
50 percent on average over the past six months.
The core CPI was pulled down by a near 10-year
record decrease in apparel prices (14.4 percent) in
March. Excluding just food and energy components
makes the core CPI vulnerable to large transitory
price swings in other components, which is why
trimmed means offer a less biased estimation of inflation. The median and 16 percent trimmed-mean
CPI measures, which track underlying inflation
trends, rose 3.1 percent and 3.7 percent, respectively. Over the past six months, both trimmed-mean
inflation indicators have risen in excess of 3.0 percent. There has been similar pressure on producer
prices recently. The Producer Price Index (PPI) has
risen 10.8 percent in the past six months, and that
price pressure did not ebb in March, as the PPI
increased 13.9 percent. Even when highly variable
food and energy prices are excluded, the PPI has
averaged 3.6 percent over the past six months, and
5.0 percent over the past three months.
Longer-term trends in consumer inflation data
have remained elevated for all measures of consumer prices. The 12-month growth rate in the CPI
was 4.0 percent in February, unchanged from last

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

2

month, while the longer-term trend in the core CPI
ticked up slightly. Both the 16 percent trimmedmean and median CPI measures were unchanged at
2.8 percent and 3.0 percent, respectively.
According to the April University of Michigan’s
Survey of Consumers, near-term (one-year ahead)
household inflation expectations spiked up to 5.7
percent in April, jumping 1.1 percentage points
over March’s value and rising to their highest rate
since October 1990. Expectations over the longer term (5 to 10 years) ticked up to 3.5 percent
in April, from 3.2 percent in March, but remain
within the narrow range that they have fluctuated
within over the past 10 years.
Undoubtedly, rising food and fuel prices are factoring into the recent jump in near-term consumer
inflation expectations. The price of oil has practically doubled in the past year. Gold prices—seen as an
inflation hedge to some investors—are up $262 per
ounce from January 2007. However, surging prices
are not just limited to these two commodities.
The Commodity Research Bureau’s Spot Price Index
is an unweighted geometric mean of individual
commodity price indexes—ranging from textiles
and foodstuffs to metals and industrial materials
excluding energy goods—has risen 23.6 percent over
the past 12 months. All the subindexes that comprise the spot price index (with the exception of the
textiles and fibers index) have experienced a doubledigit 12-month growth rate. Since January 2006,
the metals index (copper, lead, steel, tin, and zinc)
has jumped up 127.7 percent, while the fats and oils
index is up 98.8 percent over the same time period.
There are many different (and possibly related) postulates to explain the run-up in commodity prices;
resource pressures caused by increased global demand; speculation; subsidized ethanol production;
low real interest rates; and dollar depreciation. Regardless of the cause, higher food and energy prices
increase the costs of doing business and may affect
inflation expectations, especially if these commodity prices remain relatively high. In a speech* in early
March, Federal Reserve Vice Chairman Donald
L. Kohn outlined the risks that higher commodity
prices pose on the outlook. “In these circumstances,
policymakers must be mindful of the uncertainties
Federal Reserve Bank of Cleveland, Economic Trends | May 2008

3

surrounding the outlook for commodity prices and
the risk that past or future increases in these goods
could yet embed themselves in higher long-run
inflation expectations and a persistently faster rate
of overall price increases.”
*“Implications of Globalization for the Conduct of Monetary Policy,”
by Donald L. Kohn. Speech given at the International Symposium
of the Banque de France, Paris, France, on March 7, 2008.

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

4

Money, Financial Markets, and Monetary Policy

Supplying Liquidity: The Tried and True and the New
05.02.08
Bruce Champ and Sarah Wakefield
On April 30, 2008, the Federal Open Market
Committee (FOMC) voted to lower its target
for the federal funds rate by 25 basis points to 2
percent. Since this latest round of rate cuts began
in September 2007, the federal funds rate has
been lowered a total of 3.25 percent. The FOMC’s
statement noted that “economic activity remains
weak” and that “financial markets remain under
considerable stress.” The committee also pointed to
some improvement in core inflation but cautioned
that “energy and other commodity prices have
increased, and some indicators of inflation expectations have risen in recent months.” Richard Fisher
and Charles Plosser preferred no change in the
funds rate and voted against the committee’s action.
In the days prior to the meeting, participants in
the Chicago Board of Trade’s federal funds options
markets placed around a 70 percent probability on
a 25 basis point cut at the April meeting. Nearly a
25 percent probability was placed on no change.
The options market places over a 70 percent probability on a pause at the June meeting. Looking further ahead, participants in the federal funds futures
market have raised their projected path of the funds
rate in recent weeks. Currently, participants in the
futures market foresee little change in the funds
rate over the next few meetings.
With the onset of financial turmoil in the fall
of 2007, the Federal Reserve has implemented a
number of facilities to enhance market liquidity
and the functioning of financial markets. December brought the introduction of the Term Auction
Facility (TAF), which auctions a predetermined
amount of funds to depository institutions that are
eligible for primary credit. Total bids for TAF funds
continue to exceed the amount offered by nearly 2
to 1, even though the biweekly auction sizes were
increased to $50 billion in March. In contrast, the
April 10 and April 24 Term Securities Lending
Facility’s (TSLF) auctions of securities were underFederal Reserve Bank of Cleveland, Economic Trends | May 2008

5

subscribed, with bids totaling less than the amount
offered. Under the TSLF, which was introduced
in March, the Trading Desk of the New York Fed
lends liquid Treasury securities to primary dealers
in exchange for a broader set of collateral. On May
2, the Federal Reserve announced changes to the
TAF and TSLF facilities. Beginning May 5, the size
of the biweekly TAF auctions will be increased from
$50 billion to $75 billion. In addition, securities
eligible as collateral for Schedule 2 TSLF auctions
will be expanded to also include AAA/Aaa-rated
asset-backed securities.
On March 16, the Federal Reserve announced a
new lending facility “to improve the ability of primary dealers to provide financing to participants in
securitization markets.” The Primary Dealer Credit
Facility (PDCF) went into operation on March
17 for a period of at least six months. Under the
PDCF, the Fed makes loans to primary dealers at
the primary credit rate. These loans are collateralized by a wide range of investment-grade securities. Primary dealer credit outstanding peaked at
nearly $40 billion at the end of March but has since
declined to under $20 billion. There also has been
substantial use of the discount window by depository institutions in recent weeks, with primary
credit outstanding averaging around $10 billion
during April. In contrast, primary credit outstanding has averaged $400 million since the facility was
introduced in January 2003.
Despite the new liquidity-providing facilities,
measures of liquidity pressures remain elevated.
One such measure is the spread between the threemonth Libor rate, the rate at which banks lend to
each other in the wholesale London money market,
and the rate on a comparable 90-day Treasury security. This spread has been volatile throughout this
year and is currently at historically high levels.
Funds supplied by the Term Auction Facility, primary credit, and the Primary Dealer Credit Facility provide reserves to the banking system and can
therefore potentially affect the federal funds rate.
In order to keep the funds rate at the target set by
the FOMC, the Trading Desk must drain reserves
to offset the impact of those facilities. This has not
come from a reduction in repurchase agreements
Federal Reserve Bank of Cleveland, Economic Trends | May 2008

6

(repos) conducted by the Desk. Repos remain
elevated due to the introduction of single-trancheterm repos on March 7. This represented another
effort to increase liquidity in term funding markets.
However, the Desk has drained reserves through
outright sales and redemptions of Treasury securities. Since the beginning of December 2007, total
outright holdings of securities in the Fed’s System
Open Market Account (SOMA) have fallen over
$230 billion. The mix of securities in the portfolio has also changed due to the liquidity facilities’ provisions. The proportion of highly liquid
Treasury bills in the Fed’s portfolio has fallen from
34 percent to 13 percent since the beginning of
December 2007.

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

7

Money, Financial Markets, and Monetary Policy

The Yield Curve
04.15.08
Joseph G. Haubrich and Katie Corcoran
Since last month, the yield curve has gotten steeper,
with long-term interest rates rising and short term
interest rates falling. One reason for noting this
is that the slope of the yield curve has achieved
some notoriety as a simple forecaster of economic
growth. The rule of thumb is that an inverted yield
curve (short rates above long rates) indicates a
recession in about a year, and yield curve inversions
have preceded each of the last six recessions (as defined by the NBER). Very flat yield curves preceded
the previous two, and there have been two notable
false positives: an inversion in late 1966 and a very
flat curve in late 1998. More generally, though, a
flat curve indicates weak growth, and conversely, a
steep curve indicates strong growth. One measure
of slope, the spread between 10-year bonds and
3-month T-bills, bears out this relation, particularly
when real GDP growth is lagged a year to line up
growth with the spread that predicts it.
The yield curve steepened slightly since last month,
with long rates edging up and short rates edging
down. The spread remains positive with the 10year rate moving up 3 basis points to 3.54 percent,
while the 3-month rate dropped 4 basis points to
1.33 percent (both for the week ending April 11).
Standing at 221 basis points, the spread inched up
from March’s 214 basis points, and is well above
February’s 144 basis points. Projecting forward
using past values of the spread and GDP growth
suggests that real GDP will grow at about a 2.8 percent rate over the next year. This is on the high side
of other forecasts (see this Congressional Budget
Office memo)).
While such an approach predicts when growth is
above or below average, it does not do so well in
predicting the actual number, especially in the case
of recessions. Thus, it is sometimes preferable to
focus on using the yield curve to predict a discrete
event: whether or not the economy is in recession.
Looking at that relationship, the expected chance
of the economy being in a recession next March
Federal Reserve Bank of Cleveland, Economic Trends | May 2008

8

stands at 1 percent, down from March’s 2.7 percent, and from February’s already low 3.7 percent.
This probability of recession is below several recent
estimates and perhaps seems strange the in the
midst of recent financial concerns, but one aspect
of those concerns has been a flight to quality, which
lowers Treasury yields. Also related is the reduction
of the federal funds target rate and the discount
rate by the Federal Reserve, which tends to steepen
the yield curve. Furthermore, the forecast is for
where the economy will be next April, not earlier in
the year.
On the other hand, a year ago, the yield curve
was predicting a 46 percent chance that the U.S.
economy would be in a recession in March, 2008, a
number that seemed unreasonably high at the time.
To compare the 1 percent chance of recession to
some other probabilities and learn more about different techniques of predicting recessions, head on
over to the Econbrowser blog.
Of course, it might not be advisable to take this
number quite so literally, for two reasons. First,
this probability is itself subject to error, as is the
case with all statistical estimates. Second, other
researchers have postulated that the underlying
determinants of the yield spread today are materially different from the determinants that generated
yield spreads during prior decades. Differences
could arise from changes in international capital
flows and inflation expectations, for example. The
bottom line is that yield curves contain important
information for business cycle analysis, but, like
other indicators, should be interpreted with caution.
For more detail on these and other issues related to
using the yield curve to predict recessions, see the
Commentary “Does the Yield Curve Signal Recession?”

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

9

International Markets

Bifurcation?
05.09.08
Owen F. Humpage and Michael Shenk
In its April World Economic Outlook*, the International Monetary Fund (IMF) lowered its
projections for world economic growth. No surprise there! But, the report also suggested that
the traditional correlation between growth in
advanced-developed countries and growth in
developing countries was weakening. Global trade
gains and macroeconomic policy improvements
have reduced—but not eliminated—the developing countries’ dependency on the developed world.
Now that’s interesting!
The IMF now believes that the pace of world output will slow from 4.9 percent in 2007 to 3.7 percent in 2008 and to 3.8 percent in 2009. All things
considered, the slowdown is not that bad, but
the IMF cautions that the risks to growth remain
weighted on the downside, reflecting primarily the
likelihood that further financial turmoil could impair credit availability. This slowdown follows five
consecutive years of strong, broadly shared world
economic growth.
Notwithstanding attempts to infuse financial
markets with liquidity, the IMF expects ongoing
spillovers from problems in the U.S. subprime
market to constrain credit availability and economic growth in advanced-developed countries.
The United States will bear the brunt; it is likely
to experience a mild recession in 2008 and a tepid
recovery in 2009, even after allowing for recent
cuts in the federal-funds-rate target and income-tax
rebates. Economic growth in other advance economies, particularly Western Europe, will fall short of
potential, but will not contract.
The distinguishing characteristic of the IMF’s
recent outlook is how surprisingly well the developing and emerging-market countries are expected to
perform despite the weakness in the advanced-developed world. Growth in emerging and developing
countries will almost certainly moderate this year
to around 6.7 percent from a phenomenally strong
Federal Reserve Bank of Cleveland, Economic Trends | May 2008

10

7.9 percent pace in 2007 and will most likely
weaken further to 6.6 percent in 2009. Nevertheless, relative to its historic performance, real economic growth among the emerging and developing
countries will remain quite strong.
Since 2004, economic growth has been particularly
robust across all regions of the developing world,
including Africa and Latin America. China alone
has accounted for approximately one quarter of the
world’s overall growth rate, while Brazil, China,
India, and Russia have accounted for approximately
one-half, according IMF estimates.
The IMF credits the recent resilience of the emerging and developing countries largely to the productivity gains that these countries have acquired
through integrating with the broader global
economy. Market reforms within a broad range of
developing countries and technological advances
have encouraged global companies to unbundle
production processes and to access underutilized
labor resources in the developing world. These
patterns seem particularly strong in China, India,
and Eastern Europe. As a consequence, developing
and emerging countries are increasingly important
competitors in world markets. The IMF estimates
that they now account for roughly one-third of all
global trade and for more than one-half of the increase in global import volumes since 2000. Moreover, despite recent global financial stresses, trade
between the developed and developing world has
not dropped off much.
The unbundling of production is also changing the
pattern of global trade. Roughly one-half of emerging and developing counties’ exports are now going
to other such countries, according to the IMF.
This is especially true within Asia. While the IMF
expects that exports from Asia to the United States
and Europe will slow, the effect will be less debilitating than during previous downturns, because
intra-Asia trade is rising relative to trade with the
West. As a consequence, even though the emerging
and developing countries are opening up, the business fluctuations in advanced economies may now
have less of an impact on them than in the past.
The IMF also credits recent strong growth among
emerging and developing economies to their
Federal Reserve Bank of Cleveland, Economic Trends | May 2008

11

improved macroeconomic-policy performance.
Country-to-country variation notwithstanding,
emerging and developing countries have generally
cooled their inflation rates and corralled their fiscal
deficits. Public (and private) balance sheets have
strengthened. While official and private financial
flows into these countries generally have remained
strong, many emerging and developing countries
have reduced their reliance of foreign borrowing,
and their ability to accumulate official foreignexchange reserves provides them an insurance pool
against financial turmoil.
Despite the optimistic outlook for the emerging
and developing world as a whole, the IMF does
sound an important cautionary note. Although
these countries are reducing their business-cycle
dependency on the advanced world, they have not
completely broken it. Spillover effects are still significant and, as the IMF emphasizes, they may be
’nonlinear.’ That is, they may be fairly benign when
economic growth in the advanced counties slows,
but wickedly severe when the developed world slips
into recession.
*See: http://www.imf.org/external/pubs/ft/weo/2008/01/index.htm.

Economic Activity and Labor Markets

The Employment Situation
05.08.08
Yoonsoo Lee and Beth Mowry
The April Employment Report came in better
than anticipated, with a total loss of just 20,000
nonfarm jobs from payrolls. Revisions to February and March numbers increased the losses in
those months by just 8,000. The unemployment
rate edged slightly lower, from 5.1 percent to 5.0
percent over the month.
While this month’s Employment Report paints a
less bleak picture than recent months, it is still indicative of a weak labor market in many areas. The
goods-producing sector as a whole continued its
13-month decline, losing 110,000 jobs, its largest
loss since February 2007. Service-providing industries, however, created 90,000 jobs, an impressive
gain compared with March’s very modest 7,000
gain.
Federal Reserve Bank of Cleveland, Economic Trends | May 2008

12

Labor Market Conditions
Average monthly change
(thousands of employees, NAICS)
2005

2006

2007

YTD
2008

April
2008

Payroll employment

211

175

91

−65

−20

Goods-producing

32

3

−38

−90

−110

Construction

35

13

−19

−48

−61

Heavy and civil engineering
Residentiala
Nonresidentialb
Manufacturing
Durable goods
Nondurable goods

4

3

−1

−9

−15.7

11

−2

−10

−32

−33.1

4

7

1

−7

−12.6

−7

−14

−22

−44

−6

2

−4

−16

−33

−43

−8

−10

−6

−11

−3

Service-providing

179

172

130

25

90

Retail trade

19

5

6

−26

−26.8

Financial activitiesc

14

9

−9

−6

3

56

46

26

−16

39

Temporary help services

17

1

−7

−19

−9.3

Education and health services

36

39

44

48

52

Leisure and hospitality

23

32

29

15

18

Government

14

16

21

13

9

6

6

5

5

−0.7

PBSd

Local educational services

Average for period (percent)
Civilian unemployment rate

5.1

4.6

4.6

5.0

5.0

a. Includes construction of residential buildings and residential specialty trade
contractors.

b. Includes construction of nonresidential buildings and nonresidential specialty trade
contractors.
c. Includes the finance, insurance, and real estate sector and the rental and leasing
sector.
d. PBS is professional business services (professional, scientific, and technical
services, management of companies and enterprises, administrative and support, and
waste management and remediation services).
Source: Bureau of Labor Statistics.

Within the goods-producing sector, manufacturing accounted for 46,000 of the payroll losses, and
construction accounted for 61,000. Durable goods
manufacturing fared far worse than nondurable,
losing 43,000 versus just 3,000. Within durables,
transportation equipment (-19,000) and fabricated
metal products (-11,300) fared the worst. Food
manufacturing was the most positive influence on
nondurable goods, adding 1,700 jobs.
The largest contributors to gains in the service
industry were education and health professions;
professional and business services; and leisure and
hospitality. Most of the 52,000 job gain in education and health professions came on the health care
end (36,900). This is even larger than last month’s
gain of 43,000 and represents the sector’s best performance since August of last year. The 39,000 payroll gain in professional and business services pulled
the sector out of its three-month-long slump, and
was largely due to solid gains in professional and
technical services (26,800) and computer systems
design (10,200). Leisure and hospitality’s 18,000
gain was led by food services and accommodation
(20,000). It is worth noting that financial activities,
although a small source of April’s service-industry
payroll gains, came in positive for the first time
since last July, adding 3,000 jobs.
Retail lost 26,800 jobs in April, continuing its
negative trend begun in December. In particular,
building materials stores and department stores lost
the most jobs within the industry. Food and beverage stores lost jobs (4,400) for the first time since
last April. Temporary help services, which is often
regarded as a leading indicator of overall employment conditions, lost just 9,300 payrolls, compared
to March’s larger loss of 25,000.
The three-month moving average of private sector
employment growth inched up from -94,000 in last
report to -78,000 in this report. This measure can
provide a cleaner read of labor market conditions
because it removes some of the monthly volatility
and the consistent boost provided by the government. Due to the government’s positive contribution of 9,000 jobs last month, April’s private
nonfarm payroll change actually looks less optimistic than the total nonfarm payroll change. Private

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

13

nonfarm payrolls declined by 29,000 in April. The
diffusion index of private employment fell from 48
to 45.4, meaning that even more private employers
cut back payrolls in April than in March.

Economic Activity and Labor Markets

Real GDP 2008:Q1 Advance Estimate
05.06.08
Brent Meyer

Real GDP and Components,
2008: Q1 Advance estimate
Annualized percent
change, last:
Quarterly change
(billions of 2000$)

Quarter

Four
quarters

Real GDP

17.4

0.6

2.5

Personal consumption

20.0

1.0

1.9

Durables

-19.4

-6.1

0.4

-7.9

-1.3

0.4

Services

39.8

3.4

2.8

Business fixed investment

Nondurables

-9.0

-2.5

5.8

Equipment

-1.9

-0.7

3.3

Structures

-5.1

-6.2

11.5

Residential investment

-32.1

-26.6

-21.2

Government spending

10.1

2.0

2.9

National defense

7.5

6.0

5.9

Net exports

7.3

—

—

Exports

19.7

5.5

9.5

Imports

12.4

2.5

0.7

Change in business
inventories

20.1

—

—

Source: Bureau of Economic Analysis.

Real GDP grew at an annualized rate of 0.6 percent
in the first quarter of 2008, the same growth rate
as last quarter, according to the advance release by
the Bureau of Economic Analysis. Over the past
four quarters, real GDP has increased 2.5 percent,
slightly below its long term (30-year) average of 3.0
percent. Growth in the first quarter was primarily
due to increases in exports and private inventories,
which were partly offset by a decrease in private
investment and an increase in imports (which
subtract from real GDP). While headline growth
remained at 0.6 percent, growth among the components varied significantly from last quarter.
Real personal consumption increased 1.0 percent
(annualized rate) in the first quarter, compared to
2.3 percent last quarter. Spending on consumer
durables, which posted a small increase in the
fourth quarter of 2007, fell 6.1 percent in the first
quarter of 2008. Real business fixed investment
decreased 2.5 percent during the quarter, actually
taking away 0.3 percentage point from real GDP
growth, compared to an average contribution of 0.6
percentage point over the last four quarters. Residential investment continued to fall, tumbling 26.6
percent (at an annualized rate) in the first quarter,
and is now down 21.2 percent on a year-over-year
basis. Inventories added 0.8 percentage point to
real GDP growth after taking away 1.5 percentage
points last quarter. Exports continued to perform
well, rising 5.5 percent in the first quarter, while
imports showed a somewhat surprising gain of 2.5
percent, given the backdrop of recent dollar depreciation and weak consumer sentiment.
Over the past few quarters, consumer spending on
services has continued to rise slightly, while spending on both durable and nondurable goods has

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

14

begun to drop off. The four-quarter growth rate in
services consumption was 2.8 percent, according to
the first-quarter advance estimate, while growth in
both durable and nondurable goods consumption
fell to 0.4 percent. The decline in the four-quarter
growth rate for durable goods was somewhat
dramatic, falling from 4.2 percent to 0.4 percent
in the first quarter, their lowest growth rate since
the fourth quarter of 1991. Looking ahead to the
second quarter, the fiscal stimulus rebate checks
have already begun to be distributed and that may
stave off further deterioration in goods consumption. Estimates of how much of the nearly $120
billion stimulus will be spent by consumers over
the next two or three quarters vary dramatically and
depend largely on how many people they predict
will exhibit income smoothing behavior (and save a
large portion of the rebate check).
The Blue Chip consensus economic forecast is predicting that the economy will grow a shade above
zero next quarter, snap back in the third quarter,

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

15

and rise to near-trend growth by the end of 2009.

Economic Activity and Labor Markets

What Interest Rate Spreads Can Tell Us about Mortgage Markets
04.30.08
By Andrea Pescatori and Beth Mowry
The target for the federal funds rate has been
slashed three full percentage points since September, from 5.25 to 2.25 percent. Yet, despite this
steep drop, the average interest rate on 30-year
fixed-rate mortgages has fallen only about half a
percentage point—from about 6.4 to about 5.9
percent—over the same time span. Why has the
central bank’s aggressive action had such a small
impact on these mortgage rates, and what does this
mean?
The Fed does not set mortgage rates, but it does set
a nominal target for the federal funds rate, the rate
at which depository institutions lend their reserve
balances to one another, usually overnight (a very
short maturity). The fed funds rate in turn directly
affects the price of other fixed-income assets of
similar maturities and quality (measured in terms
of default risk and liquidity); this is the case for
short-term Treasury securities, for example. However, as the maturity of an asset gets longer, the link
between its price and the funds rate becomes more
tenuous. This is because the price of a long-term
bond incorporates not just recent changes in the
short-term rates of all relevant assets but their expected future short-term rates as well. For example,
the spread between the interest rate on a 10-year
Treasury note and the federal funds rate has risen
recently because the future path of the federal funds
rate is expected to go up.
Once we control for maturity, the spread between
securities should tell us something about the role
that liquidity and risk are playing in pricing the
assets. A good benchmark for the 30-year fixedrate mortgage is the 10-year Treasury note, because
30-year mortgages usually get paid off in 10 years.
The spread between the average prime conforming
mortgage rate and the 10-year Treasury note has
been heading north since the summer of 2007, reflecting turbulence in the mortgage-backed security
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market, a secondary market for mortgages. With
the housing meltdown, pricing mortgage-backed
securities, especially the more sophisticated ones,
has become even harder, as risk has increased, and
liquidity in the mortgage-backed security market
has dried up (just think about the billions of dollars in write-downs). An illiquid mortgage-backed
security market, in turn, makes the repackaging
of mortgages more difficult. Because mortgages
are more difficult to repackage, mortgages themselves become less liquid for mortgage originators,
who then seek higher compensation for the loss of
liquidity. In fact, although the average 10-year Treasury yield has fallen 93 basis points to 3.59 percent
since September (when the Fed started cutting the
fed funds rate), the average yield for 30-year fixedrate mortgages has fallen only 50 basis points to
5.88 percent. As a result, the spread between the
average 30-year mortgage and the 10-year Treasury
note has widened about 60 percent over the past
year. The spread stood at 148 basis points in April
2007 and now stands at 233 basis points, having
reached its peak of 262 basis points in March at
the time of the Bear Stearns bailout. The risk of
a financial meltdown clearly affected the prime conforming mortgage rate and even caused its level to
increase. More recent data, though, show the spread
retreating from its peak, suggesting that the risk of
a financial crisis has decreased (as other indexes also
indicate).
Compared to the 1990s, the spread between mortgage rates and treasuries is elevated, which suggests
that financial markets are still working through
their prior excesses. To find levels higher than the
current ones, we have to go back to the 1980s, in
particular to the early part of the decade, when the
spread reached its historic high. This was a time of
great economic turmoil, with a high rate of inflation, two back-to-back recessions, and banking
deregulation.
Given the excesses that occurred in the housing and
mortgage markets, it is not surprising that market
participants are being more cautious. Some potential home buyers are holding back, and lenders
have implemented tougher lending standards and
are charging more for loans. From January 1972
to April 2008 the median weekly spread is about
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17

160 basis points between the 30-year fixed-rate
mortgage and the 10-year Treasury note. If this
more normal spread prevailed, fixed-rate mortgages
would be around 5 percent today, instead of the
current 5.88 percent. Until market participants
regain confidence, rate spreads are likely to continue to deviate from their historical norm. Had
the Fed not lowered the funds rate, mortgage rates
would likely be even higher. Assuming there are no
more large shocks, it is likely that the spread will
ease back to more normal levels, providing a boost
to home buyers, who, after all, care about their
mortgage rate, not the fed funds rate.

Regional Activity

Mortgage Delinquencies in Fourth District Metropolitan Areas
4.28.08
By Tim Dunne and Guhan Venkatu
The U.S. housing market continued to be under
considerable stress in the first quarter of 2008. Recent data from the Census Bureau show that building permits and housing starts are still falling, and
a recent report by Equifax and Moody’s Economy.
com indicates that mortgage delinquency rates rose
again in the first quarter. Mortgage delinquency
rates measure the percent of mortgage holders who
are past due on their payments and also represent
the pool of mortgages at risk of entering foreclosure.
It is well documented that Midwestern states such
as Michigan, Indiana, and Ohio have experienced
relatively high rates of mortgage delinquency and
foreclosure. In fact, the rise in delinquency and
foreclosures rates in these states preceded that of
the nation as a whole. But what is happening at the
metro-area level? We looked at delinquency rates
from January 2003 to February 2008 in the major
metropolitan areas of the Fourth District to discern the trends for a range of mortgage types. We
focused on 60-day mortgage delinquency rates in
Cincinnati, Cleveland, Columbus, and Pittsburgh,
the four largest metropolitan areas of the District.
The 60-day delinquency rate reports the percentage of loans for which payments are more than 60
days late but less than 90 days late. The reason to
focus on 60-day delinquencies is that they give us a
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18

look at loans that are entering into the delinquency
process but also have multiple missed payments.
The data we examined come from LoanPerformance, a company that collects information on the
payment status of mortgages from a large number
of loan-servicing firms. LoanPerformance estimates
that the data it collects from these servicing firms
include roughly 75 percent of outstanding prime
mortgages and 40 percent of outstanding subprime
mortgages. The loans are categorized by the type
of servicing firm that made the loan, those that
focus on subprime mortgages or those that focus
on prime rate mortgages, as well as by whether the
loan has a fixed or adjustable rate. (Note that the
distinction between prime and subprime is based
on the servicer and not the borrower.)
Prime, fixed-rate loans currently account for about
65 percent of all outstanding loans according to
the Mortgage Bankers Association. There has been
a steady increase in delinquency rates for this type
of loan across all four major Fourth District metro
areas since the beginning of 2007. More troubling
is the fact that the delinquency rates for prime,
fixed-rate loans appeared to jump sharply toward
the end of 2007 in all four metropolitan areas. The
average went from 0.56 percent in January 2007 to
0.66 percent in February 2008. Cleveland’s delinquency rate for prime, fixed-rate loans has tended
to be higher than the other three Fourth District
metro areas, though in January Columbus’s 60-day
delinquency rate approached Cleveland’s rate before
moving back closer to the rates for Cincinnati and
Pittsburgh.
Prime, adjustable-rate loans have higher delinquency rates than prime, fixed-rate mortgages and
currently average 0.86 across the four metropolitan
areas. Delinquency rates for these loans began to
trend up noticeably in early 2006, about a year in
advance of what we observe with prime, fixed-rate
products.
Nevertheless, despite these recent increases, 60-day
delinquency rates for prime loans are still about
one-fifth to one-sixth that of the current delinquency rates for subprime loans, depending on whether
one compares fixed- or adjustable-rate loans.
Delinquency rates for both subprime fixed- and
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adjustable-rate products have risen markedly since
2005. In the latest month of data (February 2008),
delinquency rates for subprime fixed-rate mortgages
were between 2.6 and 3.3 percent, and for subprime adjustable-rate mortgages, between 4.2 and
5.7 percent, across the four metropolitan areas.
Interestingly, while Cleveland’s 60-day delinquency
rate for most of these types of loans tends to be
worse than the other metros areas, the pattern for
subprime, adjustable-rate mortgages is an exception. In fact, in recent months, Cleveland’s delinquency rate on this type of mortgage has been
below that of the three other metro areas. This is
somewhat surprising since Cleveland has a much
higher foreclosure rate for subprime adjustable-rate
mortgages than do the other three metropolitan
areas. For example, Pittsburgh’s foreclosure rate
for these loans in February was 9.4 percent, while
Cleveland’s was 18.4 percent. This suggests, and
some preliminary analysis of the data appears to
support the conjecture, that a loan with 60-day
delinquency in Cleveland had a substantially higher
likelihood of going into foreclosure than one in
Pittsburgh.
That conjecture aside, the bottom line is that across
all four different loan types delinquency rates are
either rising or remain relatively elevated in the
Fourth District’s major metropolitan areas.

Regional Activity

Fourth District Employment Conditions
04.18.08
Tim Dunne and Kyle Fee
The district’s unemployment rate dropped 0.2
percent to 5.3 percent for the month of February,
following January’s downward revision to 5.5 percent. The decrease in the unemployment rate can
be attributed to decreases in the number of people
unemployed (−3.8 percent) and the labor force
(−0.1 percent) and no change in the number of
people employed. The district’s unemployment rate
was again higher than the nation’s in February (by
0.5 percent), as it has been since early 2004. Since
this time last year, the Fourth District’s unemployment rate increased 0.3 percentage point, while the
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national rate increased 0.6 percentage point.
County-level unemployment rates vary throughout
the district. Of the 169 counties in the Fourth District, 29 had an unemployment rate below the national average in February and 140 had one higher.
Rural Appalachian counties continue to experience
higher levels of unemployment.
The distribution of unemployment rates among
Fourth District counties ranges from 3.5 percent
to 9.8 percent, with the median county unemployment rate at 5.7 percent. Pennsylvania counties
tend to populate the middle to lower half of the
distribution, while Ohio and Kentucky counties
span the entire range.
The distribution of monthly changes in unemployment rates shows that the median county’s unemployment rate declined 0.17 percentage point from
January to February. The county-level changes
indicate that a substantial number of Ohio counties
experienced declines in unemployment rates that
exceeded 0.3 percentage point. However, almost all

Federal Reserve Bank of Cleveland, Economic Trends | May 2008

21

the West Virginia counties in the Fourth District
(six counties) saw their unemployment rates increase.

Banking and Financial Institutions

Fourth District Bank Holding Companies
04.16.08
Joseph G. Haubrich and Saeed Zaman
A bank holding company (BHC) is an organizational form that consists of a parent company that
owns one or more commercial banks, other depository institutions and nonbank subsidiaries. While
BHCs come in all sizes, we focus here on BHCs
with consolidated assets of more than $1 billion.
There are 21 BHCs headquartered in the Fourth
District that meet this definition, including five of
the top fifty BHCs in the United States, as of the
fourth quarter of 2007.
The ongoing consolidation of the banking system nationwide is evident in the Fourth District.
Despite the decline in Fourth District BHCs with
assets over $1 billion (from 24 to 21 since the
beginning of 1999 through the end of 2007), their
total assets increased every year except 2000. In that
year, assets held by Fourth District BHCs declined,
reflecting the acquisition of Charter One Financial
by Citizens Financial Group (which is headquartered in the First Federal Reserve District).
The largest five BHCs in the Fourth District rank
in the top 50 of the largest banking organizations
in the nation. Fourth District BHCs of all asset
sizes account for roughly 4.6 percent of BHC assets nationwide, and BHCs with over $1 billion in
assets make up the majority of the assets held by
Fourth District BHCs.
The income stream of Fourth District BHCs deteriorated somewhat in 2007. The return on assets—
measured by income before taxes and extraordinary
items because a bank’s extraordinary items can
distort the true earnings picture—declined sharply
to 0.98 percent, its lowest level in almost 10 years.
This decrease has coincided with a weakening of
net interest margins (interest income minus interest expense divided by earning assets). Currently at
2.89 percent, the net interest margin is at its lowest
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level in over 9 years.
Another indicator used to measure the strength
of earnings is the level of income earned but not
received. The level has been low for some time
for Fourth District BHCs. If a loan allows the
borrower to pay an amount that does not cover
the interest accrued on the loan, the uncollected
interest is booked as income even though there is
no cash inflow. The assumption is that the unpaid
interest will eventually be paid before the loan
matures. However, if an economic slowdown forces
an unusually large number of borrowers to default
on their loans, the bank’s capital may be impaired
unexpectedly. Despite a slight rise over the past 3
years, income earned but not received in the fourth
quarter of 2007 (0.60 percent) is well below the
recent high of 0.82 percent, which was recorded at
the end of 2000.
Fourth District BHCs are heavily engaged in real
estate related lending. As of the fourth quarter of
2007, about 40 percent of their assets are in loans
secured by real estate. Including mortgage-backedsecurities, the share of real estate-related assets on
the balance sheet is 50 percent.
Deposits continue to be the most important source
of funds for Fourth District BHCs. Savings and
small time deposits (time deposits in accounts less
than $100,000) made up 53 percent of liabilities
in the fourth quarter of 2007. Core deposits, the
sum of transaction, savings, and small time deposits, made up 60 percent of Fourth District BHC
liabilities as of the fourth quarter 2007, the highest level since 1998. Finally, total deposits made
up about 70 percent of funds in 2007. Despite the
requirement that large banking organizations have
a rated debt issue outstanding at all times, subordinated debt represents only 2.8 percent of funding.
As with large holding companies outside the Fourth
District, BHCs in the Fourth District rely heavily on large negotiable certificates of deposit and
nondeposit liabilities for funding.
Problem loans are loans that are more than 90 days
past due but are still receiving interest payments,
as well as loans that are no longer accruing interest. Problem commercial loans rose sharply starting
in 1999, peaked in 2002, and settled below 0.75
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23

percent of assets in 2004, thanks in part to the
strong economy. In the fourth quarter of 2007,
0.78 percent of all commercial loans were problem
loans. Problem real estate loans, which have been
creeping upward since 2005, jumped to their highest level (1.4 percent) at the end of 2007. Problem
consumer loans (credit cards, installment loans,
etc.) edged up slightly to 0.55 percent in the fourth
quarter of 2007.
Net charge-offs are loans removed from the balance sheet because they are deemed unrecoverable,
minus the loans that were deemed unrecoverable
in the past but have been recovered in the current
year. Net charge-offs for consumer loans and real
estate loans increased slightly in the fourth quarter
of 2007, and for commercial loans they remained
flat. Net charge-offs in the fourth quarter of 2007
were limited to 0.42 percent of outstanding commercial loans, 0.91 percent of outstanding consumer loans, and 0.23 percent of outstanding real
estate loans.
Capital is a bank’s cushion against unexpected
losses. The risk-based capital ratio (a ratio determined by assigning a larger capital charge on riskier
assets) for Fourth District BHCs fell sharply from
its peak in 2006 to 10.5 percent in 2007. The lower
the capital ratio, the less protected is the bank. The
leverage ratio (balance sheet capital over total assets)
edged down to 9.2 percent from its recent peak of
9.9 percent in 2006.
An alternative measure of balance sheet strength is
the coverage ratio. The coverage ratio measures the
size of the bank’s capital and loan loss reserves relative to its problem assets. As of the fourth quarter
of 2007, Fourth District BHCs have $8.14 in capital and reserves for each dollar of problem assets,
the lowest level in almost 10 years.

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