Return
Multi-period corporate default prediction with stochastic covariates
D
L
W
DOI:10.1016/j.jfineco.2005.10.011.png)
Abstract
En 中文
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.
Keywords:
default
bankruptcy
duration analysis
doubly stochastic
distance to default
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
12
Papers:
3.8K
Citations:
5.5W
Organization
No organization information available
