Multi-period corporate default prediction with stochastic covariates

被引:428
作者
Duffie, Darrell [1 ]
Saita, Leandro [1 ]
Wang, Ke [1 ]
机构
[1] Stanford Univ, Grad Sch Business, Stanford, CA 94305 USA
关键词
default; bankruptcy; duration analysis; doubly stochastic; distance to default; RATING TRANSITIONS; CAPITAL STRUCTURE; FINANCIAL RATIOS; CREDIT SPREADS; BANKRUPTCY; RISK; MODEL; INSURANCE; RETURNS; DEBT;
D O I
10.1016/j.jfineco.2005.10.011
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We provide maximum likelihood estimators of term structures of conditional probabilities of corporate default, incorporating the dynamics of firm-specific and macroeconomic covariates. For US Industrial firms, based on over 390,000 firm-months of data spanning 1980 to 2004, the term structure of conditional future default probabilities depends on a firm's distance to default (a volatility-adjusted measure of leverage), on the firm's trailing stock return, on trailing S&P 500 returns, and on US interest rates. The out-of-sample predictive performance of the model is an improvement over that of other available models. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:635 / 665
页数:31
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