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Hedging default risks of CDO tranches in non-homogeneous Markovian contagion models

机译:对冲非均质马尔可夫传染模型中CDO档的违约风险

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The paper is concerned with the hedging of credit derivatives, in particular synthetic collateralized debt obligations (CDOs) tranches and first to default swap (FTD) with respect to actually traded credit default swaps index (CDS index). In the model, we will relax the name homogeneity assumption, that all the names share the same risk-neutral default. We think of two homogeneous groups of names and the default intensities of each group depending both upon the number of survived names in each subgroup. This results a two dimensional Markov chain setting, since the portfolio state is characterized by the number of survived names in each group. Finally, we have achieved the numerical implementation through trinomial trees, by means of Markov chain techniques. The experimental results show that the new extended hedge model in this paper improves the hedge strategies under the name homogeneity case. (C) 2016 Elsevier Inc. All rights reserved.
机译:本文涉及信用衍生品的套期保值,特别是合成抵押债务凭证(CDO)档和相对于实际交易的信用违约掉期指数(CDS指数)的第一违约掉期(FTD)。在模型中,我们将放宽名称同质性假设,即所有名称共享相同的风险中性违约。我们考虑两个相同的名称组,每个组的默认强度取决于每个子组中尚存名称的数量。这导致了二维马尔可夫链设置,因为投资组合状态的特征在于每组中尚存姓名的数量。最后,借助马尔可夫链技术,通过三叉树实现了数值实现。实验结果表明,本文提出的新的扩展对冲模型改进了名称同质情况下的对冲策略。 (C)2016 Elsevier Inc.保留所有权利。

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