Gumbel copula死亡率依赖模型

Walter Omonywa Onchere, Calvin Bitange Maina, Fred Nyamitago Monari
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摘要

利用共同寿命最后遗属年金数据,我们对共同寿命依赖性进行了分析。在本文中,我们应用Gumbel copula方法,并将其与Clayton copula方法进行比较,以解决依赖效应。采用矩量法对边际参数的关联参数和最大似然估计进行了标定。随后,根据标准值对边际的性能进行比较。研究结果表明,具有逻辑边际的Gumbel联结公式可以很好地解释依赖效应。这些研究结果对共同寿险的估值避免定价错误具有重要意义
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gumbel copula mortality dependence modeling
Using joint-life last-survivor annuities data, we conduct an analysis of the joint lifetime dependence. In the current paper, we apply the Gumbel copula and compare it to the Clayton copula approaches to address dependence effects. The method of moments procedure is used to calibrate the copula dependence parameter and maximum likelihood estimation for the marginal specifications. Subsequently, the performance of the marginals is compared following the criteria values. The findings show that the Gumbel copula with logistic marginals appropriately accounts for the dependence effects. These research findings have significant implications for the valuation of joint-life policies to avoid pricing error
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