首页> 外文期刊>The journal of risk finance >The pricing of hedging longevity risk with the help of annuity securitizations: An application to the German market
【24h】

The pricing of hedging longevity risk with the help of annuity securitizations: An application to the German market

机译:年金证券化对冲寿命风险的定价:在德国市场的应用

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose - The purpose of this paper is to develop a model to hedge annuity portfolios against increases in life expectancy. Across the globe, and in the industrial nations in particular, people have seen an unprecedented increase in their life expectancy over the past decades. The benefits of this apply to the individual, but the dangers apply to annuity providers. Insurance companies often possess no effective tools to address the longevity risk inherent in their annuity portfolio. Securitization can serve as a substitute for classic reinsurance, as it also transfers risk to third parties. Design/methodology/approach - This paper extends on methods insurer's can use to hedge their annuity portfolio against longevity risk with the help of annuity securitization. Future mortality rates with the Lee-Carter-model and use the Wang-transformation to incorporate insurance risk are forecasted. Based on the percentile trenching method, where individual tranches are aligned to Standard & Poor's ratings, we price an inverse survivor bond. This bond offers fix coupon payments to investors, while the principal payments are at risk and depend on the survival rate within the underlying portfolio. Findings - The contribution to the academic literature is threefold. On the theoretical side, building on the work of Kim and Choi (2011), we adapt their pricing model to the current market situation. Putting the principal at risk instead of the coupon payments, the insurer is supplied with sufficient capital to cover additional costs due to longevity. On the empirical side, the method for the German market is specified. Inserting specific country data into the model, price sensitivities of the presented securitization model are analyzed. Finally, in a case study, the procedure to the annuity portfolio of a large German life insurer is applied and the price of hedging longevity risk is calculated. Practical implications - To illustrate the implication of this bond structure, several sensitivity tests were conducted before applying the pricing model to the retail sample annuity portfolio from a leading German life insurer. The securitization structure was applied to calculate the securitization prices for a sample portfolio from a large life insurance company. Social implications - The findings contribute to the current discussion about how insurers can face longevity risk within their annuity portfolios. The fact that the rating structure has such a severe impact on the overall hedging costs for the insurer implies that companies that are willing to undergo an annuity securitization should consider their deal structure very carefully. In addition, we have pointed out that in imperfect markets, the retention of the equity tranche by the originator might be advantageous. Nevertheless, one has to bear in mind that by this behavior, the insurer is able to reduce the overall default risk in his balance sheet by securitizing a life insurance portfolio; however, the fraction of first loss pieces from defaults increases more than proportionally. The insurer has to take care to not be left with large, unwanted remaining risk positions in his books. Originality/value - In this paper, we extend on methods insurer's can use to hedge their annuity portfolio against longevity risk with the help of annuity securitization. To do so, we take the perspective of the issuing insurance company and calculate the costs of hedging in a four-step process. On the theoretical side, building on the work of Kim and Choi (2011), we adapt their pricing model to the current market situation. On the empirical side, we specify the method for the German market. Inserting specific country data into the model, price sensitivities of the presented securitization model are analyzed.
机译:目的-本文的目的是建立一个模型来对冲年金投资组合以对抗预期寿命的增长。在过去的几十年中,全球各地,尤其是在工业国家中,人们的预期寿命都空前增加。这样做的好处适用于个人,但是危险适用于年金提供者。保险公司通常没有有效的工具来解决其年金投资组合中固有的寿命风险。证券化可以代替传统的再保险,因为它也将风险转移给了第三方。设计/方法/方法-本文扩展了保险公司可借助年金证券化对冲其年金组合以抵御长寿风险的方法。预测使用Lee-Carter模型的未来死亡率,并使用Wang变换合并保险风险。基于百分位数挖沟方法,其中各个部分与标准普尔的评级保持一致,我们对反向幸存者债券定价。该债券向投资者提供固定的息票支付,而本金支付则处于风险中,并取决于基础投资组合的生存率。调查结果-对学术文献的贡献是三方面的。从理论上讲,我们基于Kim和Choi(2011)的工作,将其定价模型调整为当前的市场状况。使本金(而不是息票)处于风险之中,为保险公司提供了足够的资金来支付由于寿命延长而产生的额外费用。在经验方面,指定了德国市场的方法。将特定的国家/地区数据插入模型,可以分析所提出的证券化模型的价格敏感性。最后,在一个案例研究中,应用了一家大型德国人寿保险公司的年金投资组合的程序,并计算了对冲寿命风险的价格。实际意义-为了说明这种债券结构的含义,在将定价模型应用于德国一家领先的人寿保险公司的零售样本年金投资组合之前,进行了几次敏感性测试。证券化结构用于计算大型人寿保险公司的样本投资组合的证券化价格。社会影响-调查结果有助于当前有关保险公司如何在其年金投资组合中面临寿命风险的讨论。评级结构对保险公司的整体套期成本产生了如此严重的影响,这意味着愿意进行年金证券化的公司应该非常谨慎地考虑其交易结构。此外,我们已经指出,在不完善的市场中,发起人保留股权的部分可能是有利的。但是,必须记住,通过这种行为,保险公司可以通过将人寿保险资产证券化来降低资产负债表中的整体违约风险。但是,第一笔违约损失的比例增加的幅度大于比例。保险公司必须注意不要在账簿上留下大量不必要的剩余风险头寸。原创性/价值-在本文中,我们扩展了保险公司可以借助年金证券化对冲其年金组合以抵御长寿风险的方法。为此,我们从发行保险公司的角度出发,并通过四个步骤来计算对冲成本。从理论上讲,我们基于Kim和Choi(2011)的工作,将其定价模型调整为当前的市场状况。在经验方面,我们指定了德国市场的方法。将特定的国家/地区数据插入模型,可以分析所提出的证券化模型的价格敏感性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号