The Composite Index of Leading Economic Indicators: How to Make it More Timely
Ataman Ozyildirim () and
Victor Zarnowitz ()
Additional contact information
Robert McGuckin: The Conference Board
Victor Zarnowitz: The Conference Board
No 00-04, Economics Program Working Papers from The Conference Board, Economics Program
A major shortcoming of the U.S. leading index is that it does not use the most recent information for stock prices and yield spreads. The index methodology ignores these data in favor of a time-consistent set of components (i.e., all of the components must refer to the previous month). An alternative is to bring the series with publication lags up-to-date with forecasts and create an index with a complete set of most recent components. This study uses tests of ex-ante predictive ability of the U.S. leading index to evaluate the gains to this new "hot box" procedure of statistical imputation. We find that, across a variety of simple forecasting models, the new approach offers substantial improvements.
Keywords: business cycle; indicators; leading index; times series; forecasting (search for similar items in EconPapers)
Pages: 32 pages
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7) Track citations by RSS feed
Downloads: (external link)
http://www.conference-board.org/economics/workingpapers.cfm?pdf=E-0004-00-WP First version, 2000 (application/pdf)
Working Paper: The Composite Index of Leading Economic Indicators: How to Make It More Timely (2001)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cnf:wpaper:0004
Access Statistics for this paper
More papers in Economics Program Working Papers from The Conference Board, Economics Program Contact information at EDIRC.
Bibliographic data for series maintained by A Ozyildirim ().