Compound Joint-life Annuity Frailty Modeling

W. Onchere, P. Weke, J. Ottieno, C. Ogutu
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Abstract

Grouping insureds in clusters such as joint-life annuities imposes statistical dependence. In this paper, we propose the shared compound frailty approach in collective valuation of joint-life annuity products where most applications have been in bio-statistics. The positive stable compound process used entails the frailty mixing distribution with the weighted exponential, generalized exponential and weighted Weibull as the base force of mortality distributions calibrated on a large Kenyan insurer joint-life last-survivor dataset. The findings shows that the positive stable generalized exponential model addresses time-varying heterogeneity effects positively and negatively associated with dependence
复合联合寿命年金脆弱性模型
将被保险人分组,如联合终身年金,会增加统计上的依赖性。在本文中,我们提出了共同复合脆弱性方法在共同人寿年金产品的集体估值,其中大多数应用已在生物统计学。使用的正稳定复合过程需要脆弱性混合分布,加权指数,广义指数和加权威布尔作为在大型肯尼亚保险公司联合生命最后幸存者数据集上校准的死亡率分布的基础力量。研究结果表明,正稳定广义指数模型解决了时变异质性效应与依赖的正相关和负相关
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