A general surplus decomposition principle in life insurance

IF 1.6 3区 经济学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Julian Jetses, M. Christiansen
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引用次数: 5

Abstract

ABSTRACT In with-profit life insurance, the prudent valuation of future insurance liabilities leads to systematic surplus that mainly belongs to the policyholders and is redistributed as bonus. For a fair and lawful redistribution of surplus, the insurer needs to decompose the total portfolio surplus with respect to the contributions of individual policies and with respect to different risk sources. For this task, actuaries have a number of heuristic decomposition formulas, but an overarching decomposition principle is still missing. This paper fills that gap by introducing a so-called ISU decomposition principle that bases on infinitesimal sequential updates of the insurer's valuation basis. It is shown that the existing heuristic decomposition formulas can be replicated as ISU decompositions. Furthermore, alternative decomposition principles and their relation to the ISU decomposition principle are discussed. The generality of the ISU concept makes it a useful tool also beyond classical surplus decompositions in life insurance.
人寿保险中一般盈余分解原则
在有利润寿险中,对未来保险负债的审慎估值导致了主要属于投保人的系统性盈余,并作为红利进行再分配。为了公平合法地对盈余进行再分配,保险公司需要将总投资组合盈余按单个保单的供款和不同风险源进行分解。对于这项任务,精算师有许多启发式分解公式,但仍然缺少一个总体分解原则。本文通过引入所谓的ISU分解原则来填补这一空白,该原则基于保险人估值基础的无限小顺序更新。结果表明,现有的启发式分解公式可以复制为ISU分解公式。此外,还讨论了不同的分解原则及其与ISU分解原则的关系。ISU概念的通用性使其成为超越经典的人寿保险盈余分解的有用工具。
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来源期刊
Scandinavian Actuarial Journal
Scandinavian Actuarial Journal MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
3.30
自引率
11.10%
发文量
38
审稿时长
>12 weeks
期刊介绍: Scandinavian Actuarial Journal is a journal for actuarial sciences that deals, in theory and application, with mathematical methods for insurance and related matters. The bounds of actuarial mathematics are determined by the area of application rather than by uniformity of methods and techniques. Therefore, a paper of interest to Scandinavian Actuarial Journal may have its theoretical basis in probability theory, statistics, operations research, numerical analysis, computer science, demography, mathematical economics, or any other area of applied mathematics; the main criterion is that the paper should be of specific relevance to actuarial applications.
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