Inferring Asset Correlations from CDS Spreads: A Structural Model Approach

Chanatip Kitwiwattanachai, Neil D. Pearson
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引用次数: 3

Abstract

Default correlation is a concern especially after witnessing the financial crisis. To find default correlations, we would like to know asset correlations which are unobservable. In this paper we derive a model to infer asset correlations from Credit Default Swaps (CDSs). We use a structural model approach with the first passage time as default. The resulting model is closed-form and extremely easy to compute. Using the data from 2004 to 2008, we find the average implied asset correlation from CDS to be over 0.4. The average equity correlation, which is usually used as a proxy for asset correlation, over the same period is 0.155. The result complies with the literature that there is another unobservable factor driving defaults among firms.
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从CDS价差推断资产相关性:一种结构模型方法
违约相关性令人担忧,尤其是在目睹了金融危机之后。为了找到默认的相关性,我们想知道不可观察的资产相关性。本文推导了一个从信用违约掉期(cds)中推断资产相关性的模型。我们使用结构模型方法,将第一次通过时间作为默认值。所得到的模型是封闭的,非常容易计算。使用2004 - 2008年的数据,我们发现CDS的平均隐含资产相关性超过0.4。同一时期的平均权益相关性(通常用作资产相关性的代理)为0.155。研究结果与文献一致,认为存在另一个不可观察的因素驱动企业违约。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Inferring Asset Correlations from CDS Spreads: A Structural Model Approach
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