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Multi-Period Corporate Failure Prediction with Stochastic Covariates / Darrell Duffie, Ke Wang.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Duffie, Darrell.
Contributor:
National Bureau of Economic Research.
Wang, Ke.
Series:
Working Paper Series (National Bureau of Economic Research) no. w10743.
NBER working paper series no. w10743
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2004.
Summary:
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.
Notes:
Print version record
September 2004.

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