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ON DEFAULT CORRELATION AND PRICING OF COLLATERALIZED DEBT OBLIGATION BY COPULA FUNCTIONS

机译:COPULA函数的缺省债务关联和定价

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Default correlation is the key point for the pricing of multi-name credit derivatives. In this paper, we apply copulas to characterize the dependence structure of defaults, determine the joint default distribution, and give the price for a specific kind of multi-name credit derivative - collateralized debt obligation (CDO). We also analyze two important factors influencing the pricing of multi-name credit derivatives, recovery rates and copula function. Finally, we apply Clayton copula, in a numerical example, to simulate default times taking specific underlying recovery rates and average recovery rates, then price the tranches of a given CDO and then analyze the results.
机译:缺省关联是多名称信用衍生产品定价的关键。在本文中,我们应用copulas来描述违约的依赖结构,确定联合违约分布,并给出特定种类的多名称信用衍生工具-抵押债务义务(CDO)的价格。我们还分析了影响多名称信用衍生产品定价的两个重要因素,即回收率和copula函数。最后,在一个数值示例中,我们使用Clayton copula来模拟默认时间,并采用特定的基础回收率和平均回收率,然后对给定CDO的批次定价,然后分析结果。

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