通过shapley分解进行风险分配,并应用于可变年金

IF 1.7 3区 经济学 Q2 ECONOMICS
ASTIN Bulletin Pub Date : 2023-03-13 DOI:10.1017/asb.2023.7
Frédéric Godin, Emmanuel Hamel, Patrice Gaillardetz, Edwin Hon-Man Ng
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引用次数: 3

摘要

摘要介绍了一种包含多个风险因素的寿险合同柔性风险分解方法。对冲可以自然地嵌入到框架中。虽然该方法在本工作中适用于可变年金,但它一般也适用于其他保险或金融合同。该方法依赖于对增益和损失的Shapley分解的分量应用分配原则。分配方法的实现需要使用一种涉及嵌套模拟的随机对随机算法。通过数值实例研究了权益、利率和死亡风险对保证最小到期收益(GMMB)政策的相对影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk allocation through shapley decompositions, with applications to variable annuities
Abstract This paper introduces a flexible risk decomposition method for life insurance contracts embedding several risk factors. Hedging can be naturally embedded in the framework. Although the method is applied to variable annuities in this work, it is also applicable in general to other insurance or financial contracts. The approach relies on applying an allocation principle to components of a Shapley decomposition of the gain and loss. The implementation of the allocation method requires the use of a stochastic on stochastic algorithm involving nested simulations. Numerical examples studying the relative impact of equity, interest rate and mortality risk for guaranteed minimal maturity benefit (GMMB) policies conclude our analysis.
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来源期刊
ASTIN Bulletin
ASTIN Bulletin 数学-数学跨学科应用
CiteScore
3.20
自引率
5.30%
发文量
24
审稿时长
>12 weeks
期刊介绍: ASTIN Bulletin publishes papers that are relevant to any branch of actuarial science and insurance mathematics. Its papers are quantitative and scientific in nature, and draw on theory and methods developed in any branch of the mathematical sciences including actuarial mathematics, statistics, probability, financial mathematics and econometrics.
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