Additive Intensity Regression Models in Corporate Default Analysis

被引:4
|
作者
Lando, David [1 ]
Medhat, Mamdouh [1 ]
Nielsen, Mads Stenbo [1 ]
Nielsen, Soren Feodor [1 ]
机构
[1] Copenhagen Business Sch, Copenhagen, Denmark
关键词
default risk modeling; Aalen's additive regression model; martingale residual processes; PREDICTION;
D O I
10.1093/jjfinec/nbs018
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We consider additive intensity (Aalen) models as an alternative to the multiplicative intensity (Cox) models for analyzing the default risk of a sample of rated, nonfinancial U.S. firms. The setting allows for estimating and testing the significance of time-varying effects. We use a variety of model checking techniques to identify misspecifications. In our final model, we find evidence of time-variation in the effects of distance-to-default and short-to-long term debt. Also we identify interactions between distance-to-default and other covariates, and the quick ratio covariate is significant. None of our macroeconomic covariates are significant.
引用
收藏
页码:443 / 485
页数:43
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