通过贝塞尔桥量化交易对手风险

Mark H. A. Davis, M. Pistorius
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引用次数: 23

摘要

我们构建了一个动态信用模型,可以精确地校准CDS报价。将违约时间建模为信用指数过程的第一次通过时间,我们证明了该信用指数过程的参数可以选择使违约时间的风险中性(隐含)分布匹配。利用这个违约模型,我们开发了一个资产价格模型,该模型以在给定时间发生违约为条件。我们举例说明了使用该模型来估计与航空公司作为交易对手进行的石油掉期交易的预期正敞口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification of Counterparty Risk Via Bessel Bridges
We construct a dynamical credit model that can be calibrated exactly to CDS quotes. Modelling the default time as the first-passage time of a credit index process to the level zero, we show that the parameters of this credit index process can be chosen such that the risk-neutral (implied) distribution of the time of default is matched. Employing this default model we develop a model for asset prices conditional on the occurrence of default at a given time. We illustrate the use of the model in estimating the expected positive exposure of an oil swap traded with an airline as counterparty.
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