FOR WIRE TRANSMISSION: 9:30 A.M. EST, TUESDAY,
NOVEMBER 28, 2000
GERMANY COMPOSITE INDEXES OF
LEADING AND COINCIDENT INDICATORS:
The leading index decreased 0.3 percent in October, and the coincident
index increased 0.2 percent. Taken together, the composite indexes continue
to point to a potential weakening trend in the German economy.
- The general weakness seen in the leading index in the past months is
- The strong pace of growth in the coincident index set in the earlier
part of this year appears to be moderating.
- Although the weakness in the leading index is not yet fully reflected
in the coincident index, there is cause for concern in the coming
LEADING INDICATORS. Eight of the nine indicators
that make up the leading index decreased in October. The most significant
negative contributors to the leading index in October —in order
from the larger negative contributor to the smallest—are stock prices,
consumer confidence, yield spread, and construction orders. Only CPI for services, one of the nine indicators
that make up the leading index, increased in October. (For details see data
availability section and tables).
With the decrease of 0.3 percent in October, the
leading index now stands at 105.8 (1990=100). Based on revised data, this index decreased 0.1 percent in September and
decreased 0.2 percent in August. During
the six-month span through October, the leading index declined 1.5 percent, and
seven of the nine components declined (diffusion index, six-month span equals
COINCIDENT INDICATORS. Three of the five components of the coincident
index increased in October. The
increases—in order from the largest positive contributor to the smallest—are
gross domestic product, industrial production and unemployment rate.
Manufacturing sales and retail trade remained steady in October.
(For details see data availability section and tables).
With the increase of 0.2 percent in October, the
coincident index stands at 108.8 (1990=100). Based on revised data, this index increased 0.2 percent in September, and
increased 0.1 percent in August. During
the six-month period through October, the coincident index increased 1.4
percent, with four out of five series making positive contributions (diffusion
index, six-month span equals 80 percent).
DATA AVAILABILITY. The data series used to compute
the two composite indexes reported in the tables in this release are those
available "as of" 10 A.M. MET (Germany) on November 24, 2000. At the
time of the release, recent data for several of the series are based on
estimates. In the leading index, new orders for investment goods
industries, applications for unemployment compensation, yield spread,
consumer confidence index, change in inventories, new residential
construction orders and gross enterprises and properties income are based
on estimates. In the coincident index, recent data for gross domestic
product, industrial production, manufacturing sales and retail trade are
also based on estimates.
The schedule for the Germany Leading Economic Indicators news release in 2000:
|November data ...
||Thursday December 28, 2000
All releases are at 9:30 A.M. EST
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|Bart Van Ark
THE CYCLICAL INDICATOR APPROACH.
The composite indexes are the key elements in an analytic system designed
to signal peaks and troughs in the business cycle. The leading and
coincident indexes are essentially composite averages of between five and
eight individual leading or coincident indicators. (See below for details.)
They are constructed to summarize and reveal common turning point patterns
in economic data in a clearer and more convincing manner than any
individual component—primarily because they smooth out some of the
volatility of individual components.
Historically, the cyclical turning points in
the leading index have occurred before those in aggregate economic
activity, while the cyclical turning points in the coincident index have
occurred at about the same time as those in aggregate economic activity.
A change in direction in a composite index
does not signal a cyclical turning point unless the movement is of
significant size, duration, and scope. Historical analysis with U.S. data
shows recession warnings are best determined by looking for negative growth
of at least 1 percent, coupled with declines in at least half of the
components over a six-month span. Further explanations of the cyclical
indicator approach and the composite index methodology appear in The
Conference Board’s Business Cycle Indicators page:
Methodology and Revisions.
Germany Composite Indexes:
Components and Standardization Factors
||New Orders, Investment
||Yield Spread, 10 Year
minus 3 month
||Change in Inventories
||Gross Enterprise and
||Growth Rate for
Consumer Price index for Services
||Gross Domestic Product
The component factors are inversely related to the standard deviation of the
month-to-month changes in each component. They are used to equalize the
volatility of the contribution from each component and are
"normalized" to sum to 1. These factors were last revised effective
with the June 27, 2000 release, and all historical values for the two composite
indexes were revised at that time to reflect the changes. (Under normal
circumstances, updates to the leading and coincident indexes only incorporate
revisions to data over the past six months.)
factors above were calculated using 1973-1998 as the sample period
for measuring volatility for the leading index, and 1991-1998 as the
sample period for the coincident index. There are additional sample
periods as the result of different starting dates for the component data.
When one or more components is missing, the other factors are adjusted
proportionately to ensure that the total continues to sum to 1. For
additional information on the standardization factors and the index
methodology visit the following web page: Methodology and Revisions.
address the problem of lags in available data, those leading and
coincident indicators that are not available at the time of publication
are estimated using statistical imputation. An autoregressive model is
used to estimate each component. The resulting indexes are constructed
using real and estimated data, and will be revised as the data unavailable
at the time of publication become available. Such revisions are part of
the monthly data revisions, now a regular part of the U.S. Business Cycle
Indicators program. The main advantage of this procedure is to utilize in
the leading index the data, such as stock prices, that are available
sooner than other data on real aspects of the economy, such as and new
orders and changes in inventory. Empirical research by The Conference
Board suggests there are real gains in adopting this procedure to make all
the indicator series as up-to-date as possible.