Multi-period corporate failure prediction with stochastic covariates
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Author
Contributions
- Wang, Ke. - Contributor
- National Bureau of Economic Research. - Contributor
Publication
2004 - National Bureau of Economic Research, Cambridge, Mass, Massachusetts
Language
English
Word Count
11,000 words, Guess
Page Count
44 pages
Identifiers
- OCLC Control Number56614910
- Open LibraryOL17624118M
Classifications
- LCCHB1
Description
"We provide maximum likelihood estimators of term structures of conditional probabilities of bankruptcy over relatively long time horizons, incorporating the dynamics of firm-specific and macroeconomic covariates. We find evidence in the U.S. industrial machinery and instruments sector, based on over 28,000 firm-quarters of data spanning 1971 to 2001, of significant dependence of the level and shape of the term structure of conditional future bankruptcy probabilities on a firm's distance to default (a volatility-adjusted measure of leverage) and on U.S. personal income growth, among other covariates.Variation in a firm's distance to default has a greater relative effect on the term structure of future failure hazard rates than does a comparatively sized change in U.S. personal income growth, especially at dates more than a year into the future"--National Bureau of Economic Research web site.
Subjects
Topics
Series Statement
- NBER working paper series -- no. 10743.
- Working paper series (National Bureau of Economic Research) -- working paper no. 10743.
Links
Other Editions
- Multi-period corporate failure prediction with stochastic covariates
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