企业违约的决定因素:系统性危机、部门危机和信用传染

Tao Wang
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引用次数: 5

摘要

本文利用1991年至2009年美国上市公司违约数据的大样本,研究了违约/破产预测背景下系统性困境和部门困境的影响。我根据与违约的距离(这是评估公司信用风险的有力代理)构建了衡量整个经济范围的系统性危机和部门危机的指标。我发现将这些困扰因素作为协变量可以提高强度模型预测违约的性能。因此,系统和部门的困境因素是重要的宏观经济和行业水平的协变量,在以前的文献中是缺失的。我还使用霍克斯规范检验了信用传染效应。与Lando和Nielson(2010)相反,我发现强有力的证据表明样本中确实存在信用传染效应。在此模型中加入系统性和部门性的危机因素后,信用传染效应就不那么显著了,这表明这些危机措施能够捕捉违约前和违约后的传染效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Corporate Default: Systematic Distress, Sectoral Distress and Credit Contagion
This paper studies the effects of systematic distress and sectoral distress in the context of default/bankruptcy prediction using a large sample of U.S. public company default data from 1991 to 2009. I construct measures to proxy for economy-wide systematic distress and sectoral distress based on distance to default, which is a powerful proxy to evaluate a firm's credit risk. I find that including such distress factors as covariates can improve the intensity model's performance to predict defaults. Therefore the systematic and sectoral distress factors are important macroeconomic and industry-level covariates that are missing in the previous literature. I also examine the credit contagion effects using the Hawkes specification. Contrary to Lando and Nielson (2010), I find strong evidence that credit contagion effects do exist in the sample. After adding the systematic and sectoral distress factors to such model, the credit contagion effects are much less significant which indicates that these distress measures are able to capture the pre-default as well as post-default contagion effects.
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