Catastrophe risk in a stochastic multi-population mortality model

被引:0
|
作者
Robben, Jens [1 ,2 ]
Antonio, Katrien [1 ,2 ,3 ,4 ,5 ]
机构
[1] Katholieke Univ Leuven, Fac Econ & Business, Leuven, Belgium
[2] Katholieke Univ Leuven, Leuven Res Ctr Insurance & Financial Risk Anal, LRisk, Leuven, Belgium
[3] Univ Amsterdam, Fac Econ & Business, Amsterdam, Netherlands
[4] Katholieke Univ Leuven, Leuven Stat Res Ctr, LStat, Leuven, Belgium
[5] Univ Amsterdam, Res Ctr Longev Risk, RCLR, Amsterdam, Netherlands
关键词
catastrophe risk; mortality improvement model; mortality shocks; multi-population mortality model; regime switch; scenario analysis; stochastic mortality model; LEE-CARTER MODEL; TIME-SERIES; EXTENSION; TREND; JUMPS;
D O I
10.1111/jori.12470
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper incorporates mortality shocks in the scenarios for future mortality rates produced by a stochastic multi-population mortality model. Hereto, the proposed model combines a decreasing stochastic mortality trend with a mechanism that switches between regimes of low and high volatility. During the high volatility regimes, mortality shocks occur that last from one to several years and temporarily impact the mortality rates before returning to the overall mortality trend. Furthermore, we account for the age-specific impact of these mortality shocks on mortality rates. Actuaries and risk managers can tailor this scenario generator to their specific needs, risk management objectives, or supervisory requirements. The generated scenarios allow (re)insurers, policymakers, or actuaries to evaluate the effects of different catastrophe risk scenarios on, for example, the calculation of solvency capital requirements.
引用
收藏
页码:599 / 651
页数:53
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