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Optimal hedging of demographic risk in life insurance

机译:人寿保险中人口风险的最佳对冲

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A Markov chain model is taken to describe the development of a multi-state life insurance policy or portfolio in a stochastic economic–demographic environment. It is assumed that there exists an arbitrage-free market with tradeable securities derived from demographic indices. Adopting a mean-variance criterion, two problems are formulated and solved. First, how can an insurer optimally hedge environmental risk by trading in a given set of derivatives? Second, assuming that insurers perform optimal hedging strategies in a given derivatives market, how can the very derivatives be designed in order to minimize the average hedging error across a given population of insurers? The paper comes with the caveat emptor that the theory will find its prime applications, not in securitization of longevity risk, but rather in securitization of catastrophic mortality risk.
机译:采取马尔可夫链模型来描述在随机经济-人口环境中多州人寿保险单或投资组合的发展。假设存在一个无套利市场,其可交易证券来源于人口指数。采用均方差准则,提出并解决了两个问题。首先,保险公司如何通过交易给定的一组衍生品来最佳地对冲环境风险?其次,假设保险公司在给定的衍生品市场上执行最佳对冲策略,那么如何设计衍生产品以最大程度地减少给定保险公司群体的平均对冲误差?本文提出了警告,该理论将找到其主要应用,而不是用于长寿风险的证券化,而是在灾难性死亡风险的证券化中。

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