Forecasting with Leading Indicators: Does the New Index Lead?

Kamran M Dadkhah and Fatemeh Zahedi

Empirical Economics, 1992, vol. 17, issue 4, 485-505

Abstract: There are very few economic variables that capture as much public attention as the Composite Index of Leading Indicators (CLI). Designed as an early warning system for signaling recessions and recoveries in business cycles, CLI now has significant influence over the expectations of decisionmakers and market participants. Since its inception in 1938, the index has undergone many revisions, the last of which took effect in March 1989. In this study we evaluate the new index. A number of filters, including the Bayesian sequential probability recursion and the rule of three consecutive declines in CLI, are used to evaluate the information content of CLI in forecasting the turning points in the economy. We also report the result of our forecasting experiment to gauge the marginal value of the new index to improve forecasts of variables such as the unemployment rate, index of industrial production, GNP, sales, profit, consumption and housing starts.

Date: 1992
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:empeco:v:17:y:1992:i:4:p:485-505

Ordering information: This journal article can be ordered from
http://www.springer. ... rics/journal/181/PS2

Access Statistics for this article

Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund

More articles in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().