系统性信用风险:CDX指数相关性与极端依赖性

Sofiane Aboura, N. Wagner
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引用次数: 5

摘要

依赖性是信用风险组合建模和定价中的一个重要问题。我们讨论了信用风险依赖的一个直接的共同因素模型,该模型是由Duffie和Singleton(1998)等强度模型驱动的。在实证分析中,我们利用美国流动性大盘股债务的信用违约互换(CDS)价差数据,研究了风险中性测度下的依赖关系。共同因子的代理是DJ CDX.NA.IG索引。我们证明(i) CDX因子显著但解释力低,(ii)因子敏感性表现出明显的时变性质,(iii)系统信用风险表现出不对称的极端因子依赖,其中极端依赖仅存在于向上的CDX运动中。这一发现来自EVT-copula方法,是联合违约的各种强度模型所预测的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Credit Risk: CDX Index Correlation and Extreme Dependence
Dependence is an important issue in credit risk portfolio modeling and pricing. We discuss a straightforward common factor model of credit risk dependence, which is motivated by intensity models such as Duffie and Singleton (1998), among others. In the empirical analysis, we study dependence under the risk-neutral measure using credit default swap (CDS) spread data of liquid large-cap U.S. obligors. The proxy for the commonfactor is the DJ CDX.NA.IG index. We document that (i) the CDX factor is significant but has low explanatory power, (ii) factor sensitivities show distinct time-varying nature and that (iii) systematic credit risk shows asymmetric extreme factor dependence, where extreme dependence is present for upward CDX movements only. This finding from an EVT-copula approach is what is predicted by various intensity models of joint defaults.
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