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Hedging default risks of CDOs in Markovian contagion models

机译:对冲马尔可夫传染模型中CDO的违约风险

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摘要

We describe a replicating strategy of CDO tranches based upon dynamic trading of the corresponding credit default swap index. The aggregate loss follows a homogeneous Markov chain associated with contagion effects. Default intensities depend upon the number of defaults and are calibrated onto an input loss surface. Numerical implementation can be carried out thanks to a recombining tree. We examine how input loss distributions drive the credit deltas. We find that the deltas of the equity tranche are lower than those computed in the standard base correlation framework. This is related to the dynamics of dependence between defaults.
机译:我们基于相应的信用违约掉期指数的动态交易描述了CDO档的复制策略。总损失遵循与传染效应相关的均质马尔可夫链。默认强度取决于默认数量,并在输入损耗表面上进行校准。借助重组树,可以执行数字实现。我们研究了输入损失分布如何驱动信用增量。我们发现,股票档次的差额低于标准基本相关框架中计算的差额。这与默认值之间的依存关系有关。

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