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The impact of the dependence structure in risk management: a focus on credit-risk

机译:依赖结构在风险管理中的影响:专注于信贷风险

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The aim of the paper is to discuss the important role of the dependence structure in risk management. Therefore, we focus on credit-risk and propose an innovative model to value the credit risk of a portfolio. This new approach (HYC for short) is based on a hierarchical hybrid copula and involves a clusterization of the portfolio in several risk's classes. The HYC model is classified as hybrid because the computation of the loss cdf depends on the class's cardinality: for large groups one is justified to apply a limiting approach, while for small ones one applies a procedure preserving the granularity of the group itself. In order to appreciate the impact of the dependence structure in credit-risk evaluation, a VaR analysis based on the HYC loss function is here compared to the CreditMetrics approach in an in-sample exercise and to the empirical VaR in an out-of sample exercise aimed to test the forecasting effectiveness of the model. This comparison allows us to appreciate over/under-valuation of the capital detained from the financial institution. Moreover, the impact of an enlargement of the dependence structure is discussed with respect to the systemic/contagious effects in the context of a portfolio optimisation with constraint on a sub-portfolio's risk.
机译:本文的目的是探讨依赖结构在风险管理中的重要作用。因此,我们专注于信贷风险,并提出创新模型来重视投资组合的信用风险。这种新方法(Hyc for Short)基于分层混合Copula,涉及在几个风险的类中占组合的集群化。 Hyc模型被归类为混合动力车,因为丢失CDF的计算取决于类基数:对于大组,一个是合理的,以应用限制方法,而对于小的,则一个人适用于保留组本身的粒度的过程。为了理解依赖结构对信贷风险评估的影响,这里将基于Hyc损耗功能的VAR分析与样品中运动中的信用媒体方法以及在样品锻炼外运动中的信用法方法进行比较旨在测试模型的预测效果。这一比较使我们能够欣赏金融机构拘留的资本的/估值。此外,在对子产品组合的限制的情况下,在投资组合优化的背景下,讨论了依赖结构的扩大的影响。

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