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首页> 外文期刊>Metrika: International Journal for Theoretical and Applied Statistics >Default models based on scale mixtures of Marshall-Olkin copulas: Properties and applications
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Default models based on scale mixtures of Marshall-Olkin copulas: Properties and applications

机译:基于Marshall-Olkin copulas比例混合的默认模型:属性和应用

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摘要

We present a unification of the Archimedean and the Lévy-frailty copula model for portfolio default models. The new default model exhibits a copula known as scale mixture of Marshall-Olkin copulas and an investigation of the dependence structure reveals that desirable properties of both original models are combined. This allows for a wider range of dependence patterns, while the analytical tractability is retained. Furthermore, simultaneous defaults and default clustering are incorporated. In addition, a hierarchical extension is presented which allows for a heterogeneous dependence structure. Finally, the model is applied to the pricing of CDO contracts. For this purpose, an efficient Laplace transform inversion approach is developed. Supporting a separation of marginal default probabilities and dependence structure, the model can be calibrated to CDS contracts in a first step. In a second step, the calibration of several parametric families to CDO contracts demonstrates a good fitting quality, which further emphasizes the suitability of the approach.
机译:对于投资组合违约模型,我们提出了Archimedean和Lévy-脆弱copula模型的统一形式。新的默认模型展示了一个称为马歇尔-奥尔金(Marshall-Olkin)copulas的鳞屑混合物的系,对依存关系的研究表明这两个原始模型的理想特性已经结合在一起。这样可以保留更多的依赖性模式,同时保留了分析性。此外,还同时包含默认值和默认群集。此外,提出了一种层次扩展,它允许异构依赖结构。最后,该模型被应用于CDO合同的定价。为此,开发了一种有效的拉普拉斯变换反演方法。支持边际违约概率和依赖结构的分离,可以在第一步中将模型校准为CDS合约。第二步,根据CDO合同对几个参数族进行校准,显示出良好的拟合质量,这进一步强调了该方法的适用性。

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