View original document

The full text on this page is automatically extracted from the file linked above and may contain errors and inconsistencies.

1
•

•

•

•

•

•

•

The Economy in Perspective

FRB Cleveland • October 2002

Connecting the dots…Economic policymakers can
sympathize with the national security analysts who
are criticized for not putting together the pieces that
seem—after the fact—to have formed an unmistakable picture. After all, critics ask, if an intelligence
agency can’t see the whole picture, who can? And if
policymakers can’t fill in the blanks, then what?
But predicting the future is just plain difficult, so
many professional analysts don’t look only at the
single most likely event, they construct several
scenarios and weigh the probability of each. Financial corporations rely heavily on risk management
techniques to estimate their exposures from
various events and design strategies to mitigate
their losses in any eventuality. So do national
security and economic policy analysts. To use risk
management techniques successfully, they need
the imagination to envision many possible
outcomes, the willingness to incur costs to cover
the undesirable ones, and the flexibility to adjust
strategy when conditions change.
Now consider current economic conditions in
the U.S. Some observers consider them far weaker
than expected, and abandon hope of even a moderate recovery. Others think conditions are reasonably sound and gradually brightening. Everyone
recognizes that future economic growth would be
compromised by a war with Iraq, renewed terrorist
attacks, or both. How does the U.S. economy
accommodate these diverse opinions, and how do
policymakers set their course?
The disappointed camp points to weak corporate profits, dismal stock market performance,
moribund capital spending, declining goods prices,
rising oil prices, stagnant labor markets, and
dormant export sales. Because of these conditions
and the prospect of military action, many unhappy
campers advocate tax cuts and/or easier monetary
policy to stimulate the economy.
The upbeat camp emphasizes record auto sales,
a buoyant housing market, and strong productivity
growth. Just as important are labor markets’ restabilization—a lagging cyclical indicator—and signs that
spending on capital equipment and software is
picking up. They expect the mix of activity to shift

away from consumers and toward business investment as the economy consolidates its gains in the
year ahead. These happier campers regard fiscal
policy as stimulating and monetary policy as accommodative to economic expansion.
Financial markets digest these disparate viewpoints and reflect their net effect through prices,
volume, quality spreads, and write-offs. Demand for
U.S. Treasury instruments—especially short-term
securities—has strengthened in the past six months
as sagging confidence boosted the premium
investors were willing to pay for claims in the
world’s safest and most liquid financial markets.
Private debt issuers have been forced to offer higher
yields to float their paper; even so, the reception
has often been tepid. Bond defaults are rising, as are
loan-loss charge-offs at commercial banks. The
volatility index of the S&P 500 stocks stands at
record levels, showing wide swings of opinion
about corporate valuations, and new issuance
remains dormant. Cash is king.
For economic policymakers, the key issue is the
likelihood that expansion can continue under these
circumstances. Fortunately, policymakers who wish
to see the big picture are aided powerfully by the
markets, which have an enormous, gyroscopic
capacity to rebalance economic activity after turbulence. By absorbing and retransmitting millions of
individual corporate and household decisions, market economies channel resources toward their
highest-valued use. So the fixed-investment famine
has become the consumers’ feast. Liquidity sloshing
around in financial markets, looking for safe harbors, has been washing up on households’ shores,
financing homes and cars.
The Federal Open Market Committee’s selfdescribed accommodative monetary policy stance
has been supporting the public’s demand for cash
and liquid assets at near-zero real interest rates.
The question now is whether even lower nominal
rates would be salutary. As the debate ensues,
policymakers should draw comfort from knowing
that while they are busy connecting the dots, market forces are hard at work piecing together the
bigger picture.

2
•

•

•

•

•

•

•

Inflation and Prices
12-month percent change
4.00 CPI AND CPI EXCLUDING FOOD AND ENERGY

August Price Statistics

3.75

Percent change, last:
2001
a
a
a
1 mo. 3 mo. 12 mo. 5 yr. avg.

3.50
CPI

3.25

Consumer prices
All items

4.1

2.2

1.7

2.3

1.5

Less food
and energy

3.8

2.1

2.4

2.4

2.7

Medianb

3.3

3.1

3.4

3.1

3.9

0.0 –0.3

–1.5

1.1 –1.7

–1.6 –1.1

–0.3

1.0

3.00
2.75

Producer prices
Finished goods
Less food
and energy

2.50
2.25
2.00

0.9

CPI excluding
food and energy

1.75
1.50
1.25
1.00
1995

12-month percent change
4.25 CPI AND TRIMMED-MEAN CPI MEASURES

1996

1997

1998

1999

2000

2001

2002

Percent of CPI items
45 CPI PRICE CHANGE DISTRIBUTION, PREVIOUS 12 MONTHS

4.00
40
3.75
Median CPI b

3.50

35

3.25

30

3.00
25

2.75
2.50

20
b

2.25

15

2.00
CPI
1.75

10

1.50

CPI, 16% trimmed-mean

1.25
1.00

5
0

1995

1996

1997

1998

1999

2000

2001

2002

Less than
–6

–6 to –3

–3 to 0

0 to 3

3 to 6

6 to 9

Component price increases, 12-month percent change

More
than 9

FRB Cleveland • October 2002

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.

After monthly increases of 0.1% in
June and July, the Consumer Price
Index rose 0.3% (4.1% annual rate) in
August. The Labor Department reported that an outsized increase in
apparel prices was partly responsible
for the CPI’s advance: After falling for
the previous four months, apparel
prices rose 1.1% in August. This,
combined with price increases for tobacco and smoking products as well
as larger increases than July’s in energy and shelter prices, offset falling
food prices. Overall, the CPI had its
largest monthly increase in four

months. Over the last 12 months, the
CPI has risen 1.7%.
Core measures of inflation, for the
most part, also rose sharply in August.
The CPI excluding food and energy
went up 3.8% and the median CPI
rose 3.3% (both annual rates); the
16% trimmed-mean CPI rose at an
annual rate of almost 3%. Although
the 12-month percent changes in the
CPI’s trimmed mean and the CPI less
food and energy ticked up in August,
the year-over-year changes in all of
the core measures has been trending
down since the beginning of this year.

Instead of scrutinizing every price
change, we rely on central tendency
measures to describe the distribution
of prices in the economy. The CPI is
the mean change in the price distribution; however, there are other central tendency measures, including
core measures like the trimmed
mean and the median. Each measure
has advantages and disadvantages,
depending on how the price data are
distributed. For example, imagine
that prices rose at a 3% rate for everything except food products, whose
prices doubled because of bad
(continued on next page)

3
•

•

•

•

•

•

•

Inflation and Prices (cont.)
12-month percent change
5 CORE CPI GOODS AND SERVICES

Percent of CPI items
45 CPI PRICE-CHANGE DISTRIBUTION,
PREVIOUS 12 MONTHS: GOODS AND SERVICES
40
35

4
Core CPI services

Services
Goods

30

3

25

2

20

1

Core CPI goods

15
0
10
–1

5

–2

0
Less than
–6

–6 to –3

–3 to 0

0 to 3

3 to 6

6 to 9

Component price increases, 12-month percent change

More
than 9

Annualized quarterly percent change
5 ACTUAL CPI AND BLUE CHIP FORECAST a

1995

1996

1997

1998

1999

2000

2001

2002

12-month percent change
5.5
HOUSEHOLD INFLATION EXPECTATIONS b
5.0

4
Highest 10%

4.5

CPI
3

Five years ahead

4.0
Consensus
3.5

2
3.0
1
Lowest 10%

2.5
2.0

0

One year ahead
1.5

–1
1995

1.0
1996

1997

1998

1999

2000

2001

2002

2003

2004

1995

1996

1997

1998

1999

2000

2001

2002

FRB Cleveland • October 2002

a. Blue Chip panel of economists.
b. Mean expected change in consumer prices as measured by the University of Michigan Survey of Consumers.
SOURCES: U.S. Department of Labor, Bureau of Labor Statistics; University of Michigan; and Blue Chip Economic Indicators, September 10, 2002.

weather. If we relied only on the
mean, we might mistakenly believe
that most prices in the economy rose
more than 3%. But the mean need
not be representative of any particular price change in the economy.
Indeed, the current distribution of
the CPI’s price changes for the last
12 months illustrates that the mean
can sometimes conceal as much as it
reveals. The mean of this distribution
is 1.7%, but that is not the rate at
which the largest share of prices is
rising. Instead, the distribution has
more components with price changes
above the mean than below it, as

evidenced by the median (3.4%) and
the trimmed mean (2.2%). Moreover,
none of these measures truly captures
the “two-peaked,” or bimodal, nature
of this distribution.
Such a distribution sometimes suggests that two different price-change
processes are at work in the economy.
If we split the changes into those for
services and those for commodities,
we see that there are, in fact, two overlapping price-change distributions.
A look at a longer time series of data
for CPI services and commodities
suggests that these distributions have
been diverging for several years.

Economists still expect inflation to
accelerate very little in the foreseeable
future, with most pessimistic professional forecasters expecting an inflation rate of about 3% through 2003.
Economists’ consensus expectation,
by contrast, is that the inflation rate
will settle in just below 2.5% by the
end of next year. After about a year in
which households’ long-run inflation
expectations persistently exceeded
their short-run expectations, these
measures have recently converged
at around 3%, about equal to the
inflation expectations of pessimistic
professional forecasters.

4
•

•

•

•

•

•

•

Monetary Policy
Percent
8 RESERVE MARKET RATES

Percent
3.00 IMPLIED YIELDS ON FEDERAL FUNDS FUTURES

Effective federal funds rate a

7

2.75
6

March 20, 2002
2.50

5
May 8, 2002

Intended federal funds rate b
4

2.25
June 27, 2002

3
2.00
2
1.75

Discount rate b

1

September 23, 2002
August 14, 2002

0
2000

2001

2002

2003

Mar.

May

Nov.

Sept.

Jan.

Mar.
2003

May

6.0

March 20, 2002

20-year

7.0
5.5

May 8, 2002

6.5

July
2002

Percent
6.5 YIELDS ON TREASURY CONSTANT MATURITIES

Percent
8.0 IMPLIED YIELDS ON EURODOLLAR FUTURES
7.5

1.50
Jan.

10-year
June 27, 2002

6.0

5.0

5.5

4.5

5.0
September 23, 2002

4.0

4.5
5-year

3.5

4.0
3.5

3.0

August 14, 2002
3.0

1-year

2.5

2.5
2.0

2.0

3-month

1.5
2002

2005

2008

2011

1.5
Mar.

May

July

Sept.
2001

Nov.

Jan.

Mar.

May
2002

July

Sept.

FRB Cleveland • October 2002

a. Weekly average of daily figures.
b. Daily observations.
SOURCES: Board of Governors of the Federal Reserve System, “Selected Interest Rates,” H.15; and Bloomberg Financial Information Services.

At its September 24 meeting, the
Federal Open Market Committee
(FOMC) left the federal funds rate
target unchanged at 1.75%, citing
“robust underlying productivity
growth” as the basis for maintaining
monetary policy’s current stance.
However, the Committee expressed
concern over the extent and timing
of the economic recovery, stating
that “the risks are weighted mainly
toward conditions that may generate
economic weakness.” The dissenters,
Governor Gramlich and President
McTeer, preferred reducing the
federal funds rate target.

Implied yields on federal funds
futures often are used to gauge
market participants’ expectations of
monetary policy. By this measure, few
expected the intended federal funds
rate to change at the September
meeting. However, current yields
indicate that market participants estimate roughly a 90% probability of a
25 basis point (bp) rate cut by the
end of February 2003. Eurodollar
futures, too, can gauge expectations
about federal funds rate changes and,
unlike federal funds futures, can do
so many years out. By September 23,

the implied yield on the September
2012 contract had reached 6.33%,
458 bp above the current target rate,
but this represents a decline of 110 bp
since the March FOMC meeting.
Treasury yields have continued to
decline over the past several months
for maturities of one year and longer,
a sign that market participants have
lowered their expectations of future
inflation and/or real interest rates.
Since March, the decrease in the yield
curve for eurodollar futures 10 years
out has resembled the decline in the
10-year Treasury bond yield.

5
•

•

•

•

•

•

•

Money and Financial Markets
Percent, daily
1.05 SHORT-TERM INTEREST RATE SPREADS AND
OUTSTANDING COMMERCIAL PAPER
0.90

Percent, weekly average
4.0 LONG-TERM INTEREST RATE SPREADS
3.5

Billions of dollars
375
350

TED spread a

Baa corporate bond yield minus 10-year Treasury

325

0.75

3.0

300

0.60
Outstanding nonfinancial commercial paper

2.5
0.45

275

0.30

250

0.15

225

0

200

2.0

1.5
Aaa corporate bond yield minus 10-year Treasury
1.0

0.5

–0.15

175
3-month nonfinancial commercial paper minus 3-month Treasury

–0.30

0
1/99

7/99

1/00

7/00

1/01

7/01

1/02

Percent, daily
4.0 TREASURY-BASED INFLATION INDICATORS

150
1/01

7/02

4/01

7/01

10/01

1/02

4/02

7/02

10/02

Percent
7
HOUSEHOLD INFLATION EXPECTATIONS b

3.5

6
10-year TIIS yield

3.0

5
2.5
4

Five years ahead

2.0
3
1.5
10-year Treasury minus 10-year TIIS
1.0

2
One year ahead
1

0.5
10-year Treasury minus 3-month Treasury
0

0
03/01

07/01

11/01

03/02

07/02

1/99

7/99

1/00

7/00

1/01

7/01

1/02

7/02

FRB Cleveland • October 2002

NOTE: All Treasuries shown are constant maturity.
a. Three-month rate on eurodollar deposits minus three-month Treasury bill yield.
b. Mean expected change in consumer prices as measured by the University of Michigan Survey of Consumers.
SOURCES: Board of Governors of the Federal Reserve System; Bloomberg Financial Information Services; and University of Michigan.

The spread between corporate and
government interest rates typically
rises during recessions and then
declines when the recovery gets
under way. Although many consider
the recession to be over, long rate
spreads have risen more than 50
basis points (bp) so far this year,
despite a drop of about 50 bp in
AAA- and BAA-rated corporate
bonds. This decline, however, has
been more than offset by the fall in
the 10-year Treasury rate. On the
other hand, the spread between

three-month commercial paper and
the three-month Treasury bill has
remained fairly flat in 2002 so far,
with little movement in either rate.
One possible explanation for the
drop in long rates is that the real
interest rate has fallen. This explanation is confirmed by a fall in the
10-year Treasury inflation-indexed
securities (TIIS) yield, which is a real
interest rate.
Alternatively, the fall in long rates
could result from lower inflation
expectations, but there is scant

support for this view. First, the
spread between the 10-year Treasury
rate and the 10-year TIIS yield, a
fairly direct measure of the expected
inflation rate for the next 10 years,
has not changed much since the
start of the year. Second, the University of Michigan survey of household
inflation expectations shows little
change at either the one- or the fiveyear horizon.
Stock prices have dropped in tandem with real interest rates, a surprising relationship at first glance
(continued on next page)

6
•

•

•

•

•

•

•

Money and Financial Markets (cont.)
Index, monthly average, thousands a
18 STOCK MARKET INDEXES
Daily

Index, monthly average, thousands a
7

THE MONETARY BASE

6

2,000

9,500

1,800

10

1,600

8,500

5

1,400

8%

Sweep-adjusted base growth, 1997–2002 b
15

Daily

16

14

Billions of dollars

Sweep adjusted base c

680
8%

5

1,200

7,500

12

1,000

10

0

4

June July Aug. Sept. a

2%
Monetary base

3

Dow Jones Industrial Average

590
8

2

12%

NASDAQ
6

1

0

4
1996

1997

1998

1999

2000

2001

500
10/98

2002

Trillions of dollars
2.0 THE M1 AGGREGATE

10/01

10/02

10%
MZM growth, 1997–2002 b
25
20
15

6
5%

4

5.5

2
0

1.6

10/00

Trillions of dollars
6.5 THE MZM AGGREGATE

Sweep-adjusted M1 growth, 1997–2002 b
10
8

1.8

10/99

8%
2%

5%

22%

10

18%

5
0

Sweep-adjusted M1 c

5%

10%

1.4
5%

4.5
10%
5%

1.2
M1

1.0
10/98

10/99

10/00

10/01

10/02

3.5
10/98

10/99

10/00

10/01

10/02

FRB Cleveland • October 2002

a. Monthly average through September 24.
b. Growth rates are calculated on a fourth-quarter over fourth-quarter basis.
c. The sweep-adjusted base contains an estimate of required reserves saved when balances are shifted from reservable to nonreservable accounts.
Sweep-adjusted M1 contains an estimate of balances temporarily moved from M1 to non-M1 accounts.
SOURCES: Board of Governors of the Federal Reserve System; and Bloomberg Financial Information Services.

because standard asset-pricing theory predicts that a stock’s price
should equal the present discounted value of its dividends. A fall
in the real interest rate implies that
future dividends will be less heavily
discounted, which would increase
stock prices. These prices would
then be expected to increase more
slowly because the return on holding stocks after adjusting for risk
should roughly equal the return on
bonds or the real interest rate. Most

likely, the economy’s continuing
weakness, evidenced by the decline
in the rate spread between the
10-year and the three-month Treasuries in 2002, has pushed down
both real interest rates and stock
prices. In September, the Dow Jones
Industrial Average hit a four-year
low, and the NASDAQ a six-year low.
The longer-term inflation outlook
may also be gauged by the monetary
aggregates, which present a mixed
picture of future inflation. The

growth rates for the narrow aggregates, such as the sweep-adjusted
base and sweep-adjusted M1, are
roughly 1.5 percentage points above
their five-year averages, and both
exceed nominal income’s current
growth rate. The increase in M1
growth resulted from a 7.2%
increase in currency (52% of M1)
and a 5.9% increase in other checkable deposits, offsetting a 12%
decline in demand deposits (24% of

(continued on next page)

7
•

•

•

•

•

•

•

Money and Financial Markets (cont.)
Billions of dollars
1,200 MONETARY INSTRUMENTS

Trillions of dollars
6.0 THE M2 AGGREGATE
Small time deposits

10%

M2 growth, 1997–2002 a

1,000

12

5.6

9

5%

10%

6
800
3

Retail money market mutual funds

5.0
600

5%

0
5%

Currency

1%
5%

400

Demand deposits

4.4

1%

200
Other checkable deposits

0
1998

3.8
1999

2000

2001

10/98

2002

10/99

10/00

10/01

10/02

Trillions of dollars
8.5 THE M3 AGGREGATE

Percent
4 M2 and MZM OPPORTUNITY COST

6%

M3 growth, 1997–2002 a

15%

15
M2

2%
10%

10

3
7.5

5

MZM
0
2
6%
2%
6.5
6%
1

2%

0
1997

5.5
1998

1999

2000

2001

2002

10/98

10/99

10/00

10/01

10/02

FRB Cleveland • October 2002

a. Growth rates are calculated on a fourth-quarter over fourth-quarter basis. Data are seasonally adjusted.
SOURCE: Board of Governors of the Federal Reserve System.

M1). This strong growth suggests an
upsurge in future inflation.
Money of zero maturity (MZM)
has grown 8.5% so far this year.
While this may seem robust, it is
lower than the 20.5% growth of
2001. Recent strong growth reflects
a drop in its opportunity cost (the
difference between rates on threemonth Treasury bills and the shareweighted rates of return on MZM’s
components). Historically, such pat-

terns of money growth have been
portents of future inflation.
The broader M2 monetary aggregate has grown at more moderate
rates, 10.3% in 2001 and an annualized 6.7% so far this year. This
slower growth results from declines
in retail money-market mutual funds
(8%) and small time deposits (4%),
which have more than offset the rise
in M1 growth and savings deposits,
the second of which has advanced
17%. As with MZM, the fall in M2

growth also reflects a drop in its
opportunity cost, the return paid on
M2 deposits. An even broader aggregate, M3, includes M2 plus large
time deposits, eurodollars, and
repurchase agreements. The M3
growth rate has been 5.95% so far
this year, much the same rate as M2.
Growth in the broader aggregates is
more in line with that of nominal
income, suggesting that inflation may
not be a problem going forward.

8
•

•

•

•

•

•

•

Brazil ’s Public-Sector Debt
Percent of GDP
70 GROWTH OF NET PUBLIC-SECTOR DEBT, 1994–JUNE 2002

Percent of GDP
90 GROSS PUBLIC-SECTOR DEBT, JUNE 2002
80

60

General government assets
$95 billion

70
50
60
40

50
40

30

Net public-sector debt
$265 billion

30
20
20
10
10
0

0
1994

1995

1996

1997

1998

1999

2000

2001

2002

Brazilian
per U.S. dollar
4.0 EXCHANGE RATE

Percent of GDP
70 NET PUBLIC-SECTOR DEBT, JUNE 2002

3.5

60
External

21%

3.0

50
Dollarlinked 42%

2.5

40
2.0
30
Domestic
20

1.5
79%
1.0

10

0.5

0

0
1995

1996

1997

1998

1999

2000

2001

2002

FRB Cleveland • October 2002

SOURCES: International Monetary Fund; Ilan Goldfajn, “Are There Reasons to Doubt Fiscal Sustainability in Brazil?” Central Bank of Brazil, Technical Notes 25
(July 2002); and John Williamson, “Is Brazil Next?” Institute for International Economics, International Economics Policy Briefs, no. PB 02-7.

Economic activity in South America
remains weak. The immediate
prospects depend largely on how
Brazil, the region’s biggest economy,
manages its current public-sector
debt problems. A Brazilian default
could have major consequences for
South America and repercussions for
U.S. economic policies.
Brazil’s net public-sector debt has
burgeoned since 1995. At the end
of June 2002, it equaled 58.6% of
the country’s GDP or roughly

$265 billion (equivalent), of which
foreign investors held approximately 21%. About 42% of Brazil’s
net public-sector debt is linked to
the U.S. dollar, so that movements
in the dollar’s exchange rate against
the Brazilian real directly affect the
real value of the debt.
If the cost of servicing its debt
outpaces its ability to raise revenue
for that purpose, Brazil’s debt-toGDP ratio will continue to rise.
Economists typically measure the

costs of servicing debt by a real (or
inflation-adjusted) interest rate and
use the nation’s real GDP growth as
a proxy for its ability to service debt.
We do not know how real interest
rates and Brazil’s economic growth
will evolve over the coming years,
but we can measure the prospects
for its debt-to-GDP ratio under a
range of possibilities. In the calculations, these values represent 10-year
averages, so the exercise permits
some variation, provided that any

(continued on next page)

9
•

•

•

•

•

•

•

Brazil ’s Public-Sector Debt (cont.)
Year-over-year percent change
8 BRAZIL'S REAL GDP GROWTH

Percent
45
BRAZIL'S REAL INTEREST RATES a

7

40

6

35

5

30

4

25

3

20

2

15

1

10

0

5

Real treasury bill

–1
1986

1988

1990

1992

1994

1996

1998

2000

Percentage-point Change in Brazil’s Debt Ratio,
2002–2010

0
1996

1997

1998

2.0%

3.0%

3.5%

2000

2001

2002

Stabilizing Percentage-point Change in Brazil’s
Primary Surplus, 2002–2010b

Real growth
Real
interest rate

1999

Real growth
4.0%

Real
interest rate

2.0%

3.0%

––

3.5%

4.0%

9%

3.3

–2.8

–5.7

–8.4

9%

0.5

10%

9.5

2.9

–0.2

–3.2

10%

1.5

0.4

11%

16.2

9.0

5.7

2.5

11%

2.6

1.4

0.8

0.3

12%

23.3

15.6

12.0

8.5

12%

3.9

2.5

1.9

1.3

13%

30.9

22.6

18.7

15.0

13%

5.3

3.8

3.1

2.4

––

––

––

––

FRB Cleveland • October 2002

a. Data for the third and fourth quarters of 1998 are not available.
b. Annual average increase in the primary surplus-to-GDP ratio necessary to stabilize the debt-to-GDP ratio.
SOURCES: International Monetary Fund; Ilan Goldfajn, “Are There Reasons to Doubt Fiscal Sustainability in Brazil?” Central Bank of Brazil, Technical Notes 25
(July 2002); and John Williamson, “Is Brazil Next?” Institute for International Economics, International Economics Policy Briefs, no. PB 02-7.

deviations from these values are
eventually offset.
While the interest rate and GDP
combinations in the table fall within
the range of its past year-to-year
experience, Brazil’s GDP has grown
only 2.7% per year on average since
1986, with a range of –0.5% in 1992 to
7.0% in 1986. Similarly, between
1996:IQ and 2001:IVQ, the average
annual real interest rate on Brazil’s
treasury bills equaled 15%, with a median value of 13%.

Our simple calculations suggest
that Brazil must maintain a rate of
economic growth consistent with
that achieved in its relatively prosperous years. The key uncertainty is
real interest rates. Interest rates in
large part mirror investors’ confidence, which depends partially on
developments that Brazil can affect
and partially on world events beyond
Brazil’s control. The recent $30 billion IMF loan package may assuage
investors’ fears in the short run.

One adjustment that Brazil can
undertake to avoid default is increasing its budget surplus by selling
state-owned assets, raising taxes, or
cutting public spending. Brazil currently has a primary surplus, consisting of its budget balance less interest
payments, equal to 3.75% of its GDP.
A higher primary surplus expands the
range of real interest rates and economic growth that is consistent with
a lower debt ratio. This is a hard task,
but the alternative may be harder.

10
•

•

•

•

•

•

•

Economic Activity
Percentage points
3 CONTRIBUTION TO PERCENT CHANGE IN REAL GDP

a

Real GDP and Components, 2002:IIQ

Personal
consumption

(Final estimate)
Percent change, last:
Four
Quarter
quarters

Change,
billions
of 1996 $

Real GDP
Personal consumption
Durables
Nondurables
Services
Business fixed
investment
Equipment
Structures
Residential investment
Government spending
National defense
Net exports
Exports
Imports
Change in business
inventories

29.2
28.6
4.8
–0.5`
24.0

1.3
1.8
2.0
–0.1
2.7

2.2
3.1
7.5
3.1
2.1

–7.3
7.7
–11.5
2.5
6.0
7.3
–40.8
34.9
75.8

–2.4
3.3
–17.6
2.7
1.4
7.8
__
14.3
22.2
__

–6.3
–2.9
–15.6
3.2
4.0
9.5
__
–3.0
2.6
__

33.8

Last four quarters

2

2002:IIQ
Government
spending

1
Residential
investment

Imports

0
Change in
inventories Exports
Business fixed
investment

–1

–2

–3

Percent change from previous quarter
30 REAL BUSINESS FIXED INVESTMENT

Percent change from previous quarter
6 REAL GDP AND BLUE CHIP FORECAST
Final percent change

5

Preliminary estimate

20

Advance estimate
4

Blue Chip forecast b

Real business fixed investment
10

30-year average
3
0
2
–10
1

Equipment and software
–20

0

Structures
–30

–1
–2
IIQ

IIIQ
2001

IVQ

IQ

IIQ

IIIQ
2002

IVQ

IQ
2003

–40
IQ

IIQ

IIIQ
2000

IVQ

IQ

IIQ

IIIQ
2001

IVQ

IQ

IIQ
2002

FRB Cleveland • October 2002

NOTE: All data are seasonally adjusted and annualized.
a. Chain-weighted data in billions of 1996 dollars. Components of real GDP need not sum to the total because the total and all components are deflated using
independent chain-weighted price indexes.
b. Blue Chip panel of economists.
SOURCES: U.S. Department of Commerce, Bureau of Economic Analysis; and Blue Chip Economic Indicators, September 10, 2002.

According to the final estimate from
the national income and product
accounts, real gross domestic product (GDP) increased at a 1.3% annual
rate in 2002:IIQ, substantially lower
than its vigorous showing in 2002:IQ.
Personal consumption expenditures
rose a moderate 1.8%; this category
alone contributed 1.2 percentage
points to GDP growth. Exports and
changes in inventories also contributed significantly to the secondquarter increase in real GDP. Exports
increased almost $35 billion (chained
1996 dollars). This reversed the trend

of the last four quarters and contributed 1.3 percentage points to real
GDP growth. But import spending
increased more than twice as much
as export spending. Imports were
the heaviest drag, subtracting 2.7 percentage points from GDP growth.
The final estimate of real GDP
growth in 2002:IIQ barely surpassed
the advance and preliminary estimates. However, Blue Chip forecasters
do not expect real GDP growth to
exceed its long-term average until
2003:IQ.
Spending on business fixed investment has shown signs of weakness

for nearly two years. This weakness is
evident in its failure to post a quarterly gain since 2000. Some encouragement comes from spending on
equipment and software (one of the
major sub-indexes of business fixed
investment); in 2002:IIQ, it showed
an increase of 3.3% (annual rate), its
first quarterly gain since 2000:IIIQ. In
another favorable development,
overall business fixed investment fell
only 2.4% (annual rate) in 2002:IIQ,
rather than the 6.3% decrease it
posted over the last four quarters.
(continued on next page)

11
•

•

•

•

•

•

•

Economic Activity (cont.)
Percent change from previous year
9 NONFARM BUSINESS PRODUCTIVITY a

Output, Hours, and Productivity during
Recessionsa,b
Percent change, peak to trough:
Average
Current
1990
of last six
recession recession recessions

6
1.30
2.11
3

2.90
0

–3
1950

1960

1970

1980

1990

1974– 1991– 1996–
1990 1995 2001

Growth of labor productivity
Contributions from:f
Capital deepening
Information technology
capital
Computer hardware
Software
Communication
equipment
Other capital

1.36

1.54

2.25

–2.1
–1.9
–0.3

–2.5
–3.1
0.7

Manufacturing sector
Output
Hours
Productivity

–4.4
–5.9
1.6

–4.1
–3.7
–0.3

–6.5
–8.2
1.9

Nonfinancial corporate
sector
Output
Hours
Productivity

1.2
–2.7
4.0

–1.3
–2.4
1.2

–2.7
–3.7
1.0

2000

Contributions to Growth in Labor Productivity,
c
Using Latest Data
e

Nonfarm business sector
Output
–0.2
Hours
–2.4
Productivity
2.2

Post–1995
changed

1995–2000 productivity growth, percent
20 CHANGES IN INDUSTRY PRODUCTIVITY GROWTH,
1987–95 VERSUS 1995–2000 g
SIC 62
15

0.89

SIC 36

SIC 35
10

0.77

0.52

1.17

0.40

0.41
0.23
0.09

0.46
0.19
0.21

0.97
0.50
0.34

0.56
0.27
0.25

0.09
0.37

0.05
0.06

0.13
0.20

0.04
–0.17

Labor quality
Multifactor productivity
Semiconductors
Computer hardware
Software
Communication
equipment
Other sectors

0.22
0.37
0.08
0.11
0.04

0.45
0.58
0.13
0.13
0.09

0.25
0.83
0.42
0.18
0.09

0.03
0.46
0.34
0.07
0.05

–5

0.04
0.11

0.06
0.17

0.04
0.10

0.00
–0.01

–10

Total IT contribution

0.68

0.87

1.70

1.02

5
SIC 67
0

–15
–12

–8

0
–4
4
1987–95 productivity growth, percent

8

12

FRB Cleveland • October 2002

a. Data are seasonally adjusted.
b. Due to rounding, productivity change may not equal change in output minus change in hours. The current recession is assumed to have ended in 2001:IVQ.
c. Unpublished update to Stephen D. Oliner and Daniel E. Sichel, “Information Technology and Productivity: Where Are We Now and Where are We Going?”
Federal Reserve Bank of Atlanta, Economic Review no. 87 (2002:IIIQ). Details may not sum to totals due to rounding.
d. Change equals the 1996–2001 period minus the 1974–90 period.
e. Nonfarm business sector. Measured as the average annual log difference for the years shown, multiplied by 100.
f. Percentage points per year.
g. The chart is reprinted from Kevin J. Stiroh, “Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?” Federal Reserve
Bank of New York, December 2001. SIC numbers refer to the Standard Industrial Code.
SOURCES: U.S. Department of Commerce, Bureau of the Census; and U.S. Department of Labor, Bureau of Labor Statistics.

In the 1990s, productivity accelerated from the anemic 1.3% growth
rate it posted for much of the 1970s
and throughout the 1980s. Since
1991, productivity has increased at an
average annual rate of 2.11%. But this
is still less than productivity’s average
2.9% advance before the slowdown
of the mid-1970s.
Some worry that the past decade’s
strong productivity gains may prove
ephemeral. Productivity has recently
rebounded, but it slowed to a crawl,
advancing only 0.2% between

2000:IIQ and 2001:IIQ. Certainly,
0.2% is a slow growth rate, but it is
robust considering that the economy
slipped into a recession in March
2001. In fact, productivity held up far
better during the latest recession
than in earlier downturns.
Where does this strong productivity growth come from? Simply, it is
the result of information technology,
whose contribution to growth leaped
from 0.68% in 1974–90 to 1.70%
in 1996–2001. This increase of 1.02
percentage points exceeds the 0.89

percentage point increase in total
labor productivity between the same
two periods.
The IT revolution’s responsibility
for recent productivity gains explains
the widespread belief that we have
passed into a “new economy.” Dissenters from this view fear that
strong productivity growth is concentrated in certain high-tech sectors,
but this fear seems unwarranted
because 38 of 61 industries showed
an uptick in productivity between
1987–95 and 1995–2000.

12
•

•

•

•

•

•

•

Labor Markets
Change, thousands of workers
350 AVERAGE MONTHLY NONFARM EMPLOYMENT CHANGE

Labor Market Conditions

300

Average monthly change
(thousands of employees)

Preliminary

250

Revised

200
Payroll employment
Goods-producing
Mining
Construction
Manufacturing
Durable goods
Nondurable goods
Service-producing
TPUa
Wholesale and
retail trade
FIREb
Servicesc
Health services
Help supply
Government

150
100
50
0
–50
–100
–150
–200

1999
259
8
–3
26
–16
–5
–11
252
19

2000
159
–1
1
8
–11
1
–12
161
17

60
7
132
9
32
35

25
5
92
15
0
22

–250

2001
–119
–111
1
–3
–109
–79
–30
–8
–23
–31
10
–2
27
–54
39

Jan.–
Aug. Sept.
2002
2002
1
–43
–59
–38
–1
–2
–10
–1
–48
–35
–36
–42
–12
7
60
–5
–12
–32
–7
0
59
23
18
20

–21
16
28
21
2
4

Average for period (percent)
Civilian unemployment
rate

–300

4.2

4.0

4.8

5.8

5.6

–350
1998 1999 2000 2001

IQ

July

IIQ IIIQ
2002

Aug.
2002

Percent
65.0 LABOR MARKET INDICATORS

Sept.

Percent
8.2

64.5

Percent
72 LABOR FORCE PARTICIPATION RATE,
SUMMER MONTHS, AGES 16–24 d

7.6

71

64.0

7.0

70

63.5

6.4

69

63.0

5.8

68

5.2

67

62.0

4.6

66

61.5

4.0

65

3.4

64

Employment-to-population ratio

62.5
Civilian unemployment rate

61.0
1995

1996

1997

1998

1999

2000

2001

2002

1990

1992

1994

1996

1998

2000

2002

FRB Cleveland • October 2002

NOTE: All data are seasonally adjusted, unless otherwise noted.
a. Transportation and public utilities.
b. Finance, insurance, and real estate.
c. The services industry includes travel; business support; recreation and entertainment; private and/or parochial education; personal services; and health services.
d. Not seasonally adjusted. This is the average labor force participation rate for this age group for the months of April, May, June, and July.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics.

Preliminary September nonfarm employment figures show a decline of
43,000, but revisions to both July
and August suggest much stronger
growth than was initially thought.
Job losses in September were not
limited to goods producers service
producers lost 5,000 jobs. The
largest employment declines were
concentrated in durable goods manufacturing (42,000), transportation
(32,000), and wholesale and retail
trade (21,000). Most of September’s
decline in transportation employ-

ment results from unusually high
job losses in trucking (17,000). Nondurable goods manufacturing
gained employment in September,
as did services; finance, insurance,
and real estate; and government. In
fact, FIRE has not gained this many
jobs in a single month (16,000) since
May 2001.
The monthly unemployment rate
inched down in September to 5.6%,
its lowest level since February. Similarly, the employment-to-population
ratio increased 0.2 percentage points
to 63.0, its post-February high.

The Bureau of Labor Statistics
reports specifically on employment
and unemployment data for the
summer months (April–July) for
the 16–24 age group, an important
part of the seasonal workforce. The
summertime labor force participation rate for this age group has
dropped almost 5 percentage points
since 1990 to an average rate of
65.4% in 2002. BLS analysts suggest
that higher summer school enrollment may be a proximate cause of
this decline.

13
•

•

•

•

•

•

•

Distribution of Occupations in 1950 and 1990
SHARE OF MALE WORKFORCE

SHARE OF FEMALE WORKFORCE
Farmers
Laborers

1990
1950

Service workers (private household)

1990
1950

Service workers (not household)

Craftsmen

Sales workers
Managers, officials

Clerical and kindred

Farm laborers

Professional, technical

Sales workers

Farm laborers

Service workers (private household)

Managers, officials

Professional, technical service

Laborers

Service workers (not household)

Farmers

Operatives a
Clerical and kindred

0

5

10

15

20

25

30

35

Craftsmen
Operatives a
0

5

10

Percent

FEMALE WORKERS’ REAL WAGES b

15

Percent

20

25

MALE WORKERS’ REAL WAGES b
1990

Farmers

1990
1950

Service workers (private household)

1950

Laborers

Service workers (not household)
Craftsmen

Sales workers
Clerical and kindred

Managers, officials
Farm laborers

Professional, technical
Sales workers

Farm laborers

Service workers (private household)
Managers, officials
Laborers

Professional, technical

Farmers

Service workers (not household)
Operatives a

Craftsmen
Operatives a

Clerical and kindred
0

5

10
15
Real wages, thousands of dollars

20

25

0

10

20
30
Real wages, thousands of dollars

40

50

FRB Cleveland • October 2002

a. Includes bus drivers, taxi drivers, dressmakers, dyers, motormen, blasters, plumbers, sailors, welders, and so forth.
b. Real wages calculated using the CPI-U.
SOURCES: U.S. Department of Labor, Bureau of Labor Statistics; and the University of Minnesota’s Population Center, Integrated Public Use
Microdata Series.

The labor market has undergone fundamental changes since the middle
of the last century. The most significant of these has been the shift away
from factory jobs and manual labor to
jobs that require more skill and perhaps have better working conditions.
The occupational distribution of
women in the workforce, shown with
1950’s ranking for the share of working females in each occupation, indicates that clerical and kindred is still
the largest category. In 1950, roughly
25% of all female workers were
employed in this occupation; in 1990

(the most recent census year for
which data have been released), that
share had increased to nearly onethird. The largest declines occurred
among operatives, service workers in
private households, and farm laborers. In 1950, about 21% of all working
women were categorized as operatives; by 1990, this figure had fallen to
only 9%. A striking gain has been
observed for female professional and
technical workers, an occupation that
grew from about 10% of the female
workforce in 1950 to more than 20%
in 1990, and is now the second-largest
employer of women.

Males show a similar pattern
of occupational shifts. In 1950, operatives formed the largest occupational
group, accounting for more than 20%
of all men employed. By 1990, just
over 15% of the male workforce were
employed as operatives, a smaller
share than craftsmen (20%) and professional and technical (16%).
For both males and females, the
largest wage gains outside the farming
sector occurred in three occupations:
managers and officials, professional
and technical, and sales workers.

14
•

•

•

•

•

•

•

Manufacturing Employment
Change, thousands of workers
300 U.S. AVERAGE MONTHLY NONFARM EMPLOYMENT CHANGE

Change, thousands of workers
10 OHIO AVERAGE MONTHLY NONFARM EMPLOYMENT CHANGE

200
5
100
0

0

–100

–5

–200
Nonmanufacturing
Manufacturing

–10
Nonmanufacturing

–300

Manufacturing
–400

–15
IQ

IIQ

IIIQ
2001

IVQ

IQ

IIQ

June

2002

July
2002

Aug.

Index, March 2001=100
102 MANUFACTURING EMPLOYMENT

IQ

IIQ

IIIQ
2001

IVQ

IQ

IIQ

June

2002

July
2002

Aug.

Ohio’s Share of U.S. Manufacturing Losses

100

Percent
March 2001– January 2002–
December 2001 August 2002

98

Ohio

96
U.S.
94

92

Total manufacturing

4.1

2.4

Durable goods

4.2

3.1

Fabricated metals

7.1

6.0

Industrial machinery

4.9

3.4

Electronic and electrical
equipment

1.4

1.4

Transportation equipment

7.1

9.2

Nondurable goods

3.8

0.7

Food processing

15.6

–0.4

4.2

2.1

13.3

2.5

Printing and publishing
Chemicals and products

90
Mar.

May

July

Sept.
2001

Nov.

Jan.

Mar.

May
2002

July

FRB Cleveland • October 2002

NOTE: All data are seasonally adjusted.
SOURCES: U.S. Department of Labor, Bureau of Labor Statistics; and Federal Reserve Bank of Cleveland calculations.

Manufacturing employment declined
significantly during the most recent
recession. From the recession’s
beginning in March 2001 until
December 2001 (which many economists consider its end), U.S. manufacturing suffered a net loss of more
than 1 million jobs, or 5.7% of all
jobs that existed in the industry
when the recession began.
Although employment in nonmanufacturing industries has grown
throughout 2002, manufacturing
continues to register monthly
losses. The nation’s rate of job loss

in manufacturing seemed to slow
in 2002:IQ, but preliminary figures
suggest that it increased again in
August, nearing the average
monthly losses of 2002:IQ.
Ohio’s manufacturing industry
also has struggled, showing a net loss
of almost 43,000 jobs from March to
December 2001—roughly 4% of all
manufacturing jobs that existed in
Ohio when the recession started.
Unlike the U.S. as a whole, however,
Ohio’s manufacturing employment
losses began to moderate in
2001:IIIQ, before the recession

ended. In August 2002, however,
Ohio’s rate of losses worsened, and
the state’s monthly employment
decline in manufacturing was the
largest since September 2001.
In the first four months of the
recession, the rate of manufacturing
employment decline was higher in
Ohio than in the U.S., but since July
2001, the U.S. rate of job loss has exceeded Ohio’s. By November 2001,
steep manufacturing declines had
slowed in Ohio, but U.S. declines did
not start to moderate until February
2002. Indeed, Ohio’s share of the
(continued on next page)

15
•

•

•

•

•

•

•

Manufacturing Employment (cont.)
Index, March 2001=100
102 DURABLE GOODS MANUFACTURING EMPLOYMENT

Index, March 2001=100
102 NONDURABLE GOODS MANUFACTURING EMPLOYMENT

100

100

98

98
Ohio

96

96

Ohio

U.S.
U.S.
94

94

92

92

90

90
Mar.

May

July

Sept.
2001

Nov.

Jan.

Mar.

May

July

Mar.

May

2002

Percent Change in Manufacturing Employment
a
(March–December 2001)

July

Sept.
2001

Nov.

Jan.

Mar.

May

July

2002

Percent Change in Manufacturing Employment
a
(January–August 2002)

U.S.

Ohio

U.S.

Ohio

Total manufacturing

–7.6

–5.4

Total manufacturing

–2.3

–1.0

Durable goods

–9.2

–6.0

Durable goods

–2.8

–1.3

–6.6

–5.6

Fabricated metals

–1.0

–0.7

–12.3

–8.6

Industrial machinery

–4.5

–2.0

–17.3

–6.0

Electronic and electrical
equipment

–6.9

–2.1

–5.8

–5.3

Transportation equipment

–1.2

–1.5

Nondurable goods

–5.1

–4.0

Nondurable goods

–1.6

–0.2

Food processing

–0.7

–3.0

Food processing

–0.1

1.0

Printing and publishing

–6.8

–6.2

Printing and publishing

–3.4

–1.6

Chemicals and products

–1.9

–4.1

Chemicals and products

–0.6

–0.2

Fabricated metals
Industrial machinery
Electronic and electrical
equipment
Transportation equipment

FRB Cleveland • October 2002

NOTE: All data are seasonally adjusted.
a. Annualized rate
SOURCES U.S. Department of Labor, Bureau of Labor Statistics; and Federal Reserve Bank of Cleveland calculations.

nation’s manufacturing job losses fell
sharply with the onset of the recovery. With the exception of transportation equipment, Ohio’s share of U.S.
losses fell in manufacturing as a
whole and in each of its major subindustries. In fact, food processing
added jobs from January to
August 2002, reducing U.S. losses in
that sub-industry by 0.4%.
Trends in the manufacturing
industry as a whole are closely mirrored in durable goods production,
which creates more than 60% of U.S.

manufacturing employment (in
Ohio, that figure is nearly 67%).
Although Ohio’s durable goods
manufacturing posted net employment gains in both February and
May 2002, these were offset by
declines in March and June. Conditions for nondurable goods in Ohio
have remained fairly steady since
the recovery began; throughout
2002, employment has held near
December 2001 levels.
Sub-industries’ performance during the recession and the recovery
further supports the point that

Ohio’s manufacturing troubles in
the most recent recession were less
severe than those of the U.S. Even
during the recession, most subindustries fared better in Ohio than
in the nation. Employment declines
in food processing and chemicals
and in allied products, however,
were more severe in Ohio than in
the nation as a whole. During the
recovery, only one Ohio industry,
transportation equipment, has had
greater percentage declines than the
nation as a whole.

16
•

•

•

•

•

•

•

Commercial Banks
Billions of dollars
25 NET INCOME

Billions of dollars
120 SOURCES OF INCOME

20

100
Net operating income
Total interest income

15

80

10

60

5

40
Total noninterest income

Securities and other gains/losses
20

0

0

–5
1/97

1/98

1/99

1/00

1/01

1/02

3/1/95

Percent
10

Percent
10 NET INTEREST MARGIN AND ASSET GROWTH

3/1/97

3/1/98

3/1/99

1.8

8

1.6

7

1.4

6

6

1.2

5

5

1.0

4

4

0.8

3

3

0.6

2

2

0.4

1

1

0.2

0

0

3/1/02

Return on equity

8

Asset
growth rate

7

0
1996

3/1/01

Percent
20

Net interest margin

1995

3/1/00

Percent
2.0 EARNINGS

9

9

3/1/96

1997

1998

1999

2000

2001

2002

16

Return on assets

12

8

4

0
1995

1996

1997

1998

1999

2000

2001

2002

FRB Cleveland • October 2002

NOTE: Observation for 2002 is second-quarter annualized data.
SOURCE: Federal Deposit Insurance Corporation, Quarterly Banking Profile, various issues.

In 2002:IIQ, FDIC-insured depository
institutions reported net income of
$23.4 billion, representing a 7.9% increase from the previous quarter.
Strong demand for consumer loans
offset weaker demand for commercial loans, producing an increase in
net income.
Depository institutions’ total interest income increased slightly to $90
billion in 2002:IIQ, the first improvement in interest income since 2000.
However, total noninterest income

was 8.6% higher than in the same
quarter a year ago, another sign that
the earnings pressures that tormented banks in the second and third
quarters of 2001 are finally abating.
Commercial banks’ strong earnings performance is once again
apparent in the net interest margin.
Net interest is equal to interest plus
dividends earned on interest-bearing
assets minus interest paid to
depositors and creditors. In 2002:IIQ,
the net interest margin, which is

net interest expressed as a percentage of average earning assets, rose to
4.13%, its highest level since 1997.
This rise offset depository institutions’ asset growth of 6.13%, pushing
their return on assets to 1.37%, which
matched the all-time high reached in
1999:IIIQ. Second-quarter return on
equity, 14.85%, was also at its highest
level since 1999.
Net loans and leases as a share of
total assets decreased from 58.7% in
2002:IQ to 57.7% in 2002:IIQ. Net

(continued on next page)

17
•

•

•

•

•

•

•

Commercial Banks (cont.)
Percent of assets
65 NET LOANS AND LEASES

Percent
0.6

Percent of loans and leases
1.2 ASSET QUALITY

0.5

1.0

62

Problem assets
0.8

0.4

59

Net charge-offs
0.6

0.3

0.4

0.2

0.2

0.1

56

53

0

50
1/95

1/96

1/97

1/98

1/99

1/00

1/01

1/02

Percent
9 HEALTH

Percent
2.00

8

0
1995

1.75

1996

1997

1998

1999

2000

2001

2002

Percent
200

Ratio
10.0 CORE CAPITAL
9.5

190
Coverage ratio

9.0

180

1.50

7

8.5

Unprofitable banks
1.25

6
Problem banks
5

1.00

4

0.75

3

0.50

2

0.25
0

1
1995

1996

1997

1998

1999

2000

2001

2002

170
Core capital (leverage) ratio

8.0

160

7.5

150

7.0

140

6.5

130

6.0

120

5.5

110

5.0

100
1995

1996

1997

1998

1999

2000

2001

2002

FRB Cleveland • October 2002

NOTE: Observations for 2002 are second-quarter annualized data.
a. Net income equals net operating income plus securities and other gains and losses.
SOURCE: Federal Deposit Insurance Corporation, Quarterly Banking Profile, various issues.

loans and leases grew 2.1%, but total
assets grew 3.8%, resulting in a
slight drop in the ratio from the first
quarter to the second. Although the
ratio was well below its recent high
of 61.3% in 2000:IIIQ, lending was
brisk during the second quarter,
partly because of refinancing activity
spurred by low interest rates.
Asset quality gave mixed signals in
the second quarter. Net charge-offs
(total noncollectable loans and
leases removed from balance sheet,

minus recoveries), which have been
rising since 1999, stood at $10.6 billion
or about 1.1% of depository institutions’ commercial and industrial loans.
However, problem assets (nonperforming loans and repossessed real
estate) as a share of loans and leases
fell slightly to 0.54%, its first decrease
since 1998.
Problem banks (those with substandard exam ratings) reached
1.44%, the highest level since 1995.
However, declining asset quality is

not a significant problem for FDICinsured depository institutions, where
the percent of unprofitable institutions is falling and currently stands at
6.24%. The coverage ratio (prudential
reserves as a share of noncurrent
loans and leases) fell to 127%. Core
capital, which protects depository
institutions against unexpected losses,
is at 8%, its highest recorded level, up
from 7.89% in 2001. Most of these
performance indicators point to a
strong banking sector.

18
•

•

•

•

•

•

•

Foreign Central Banks
Percent
7 MONETARY POLICY TARGETS a

Trillions of yen
–35

6

–30

5

–25
Bank of England

4

30

BANK OF JAPAN

27
Current account balances (daily)
24

–20
21

3

Current account balances

–15

European Central Bank

18
–10

2

15

Federal Reserve

1

–5

0

0

–1

5
Bank of Japan

12
9

–2

10

6

–3

15

3

–4

20

0

Current account less required reserves
Excess reserve balances

April

July

October
2001

January

April

July

October

April

2002

Foreign currency per U.S. dollar
1.65 FOREIGN EXCHANGE

10.5

July

October
2001

January

July

October

2002

12-month percent change
8 CONSUMER PRICE INDEX
7

Canadian dollar

April

Mexico
Canada

1.60

10.0

6

5
1.55

9.5

4

3
1.50

9.0

2

Mexican peso
1
1.45
April

8.5
July

October
2001

January

April

July

October

0
April

July

2002

October
2001

January

April
2002

July

sFRB Cleveland • October 2002

a. Federal Reserve and Bank of Japan: overnight interbank rates (since March 19, 2001, the Bank of Japan has targeted a quantity of current account balances;
since December 19, 2001, it has targeted the range of a quantity of current account balances). Bank of England and European Central Bank: two-week repo rate.
SOURCES: Board of Governors of the Federal Reserve System; Bank of Japan; European Central Bank; Bank of England; Bank of Canada; and Bloomberg
Financial Information Services.

None of the four major central banks
changed its policy setting over the
past month, although all acknowledge a potential for weakness in the
global outlook.
The Bank of Japan has maintained
its steady pattern of supplying about
¥15 trillion in current operating
balances. Without intending to alter
that policy position, it is considering a
program to reduce what it views as
the potentially destabilizing influence
of stock market volatility on the banking system. The plan’s details have not
been announced, but published

remarks by Bank of Japan officials
suggest its outlines. The Bank would
purchase from banks, at market
prices, equities in nonfinancial corporations to the extent that they exceed
a bank’s primary capital. For a dozen
or so large banks, the aggregate
amount of this excess is thought to be
roughly ¥8 trillion. Currently, stock
market volatility is said to affect banks’
capital directly because 60% of unrealized capital losses must be charged
off. While selling stocks might force
banks to realize residual losses, their
portfolios would be subject to less
market risk in the future. The Bank of

Japan would hold the equities for up
to 10 years.
The exchange rates of the Mexican
peso and the Canadian dollar against
the U.S. dollar have depreciated
recently. The Bank of Canada has
increased its interest-rate policy target
a total of 75 basis points this year.
In September, the Bank of Mexico
added 100 billion pesos to the
amount by which it leaves the banking system “short” of nonborrowed
reserves. This was expected to
increase the year’s run-up in shortterm interest rates, which is already
several hundred basis points.