基于随机利率框架下新标准差保费原则的混合人寿保险估值

IF 0.8 Q4 BUSINESS, FINANCE
Oussama Belhouari, Griselda Deelstra, Pierre Devolder
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引用次数: 0

摘要

在完全无套利的金融市场中,金融产品的估值采用风险中性衡量标准,这些产品完全可以对冲。人寿保险的方法则不同,因为其估值是基于保险费原则,其中包括安全加载。保险公司通过汇集大量独立风险来降低风险。在我们的框架中,我们建议对一类同时依赖于死亡率和财务风险的产品(即混合人寿产品)进行估值。本文的主要贡献在于提出了随机利率框架下的广义标准差溢价原理,并将其与文献中提出的不同估值算子相结合。我们通过一个经典应用,即有利润的纯禀赋,来说明我们的方法。我们给出了一些数值结果,并进行了广泛的敏感性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hybrid life insurance valuation based on a new standard deviation premium principle in a stochastic interest rate framework

Hybrid life insurance valuation based on a new standard deviation premium principle in a stochastic interest rate framework

In a complete arbitrage-free financial market, financial products are valued with the risk-neutral measure and these products are completely hedgeable. In life insurance, the approach is different as the valuation is based on an insurance premium principle which includes a safety loading. The insurer reduces the risk by pooling a vast number of independent risks. In our framework, we suggest valuations of a class of products that are dependent on both mortality and financial risk, namely hybrid life products. The main contribution of this paper is to present a generalized standard deviation premium principle in a stochastic interest rate framework, and to integrate it in different valuation operators suggested in the literature. We illustrate our methods with a classical application, namely a Pure Endowment with profit. Several numerical results are presented, and an extensive sensitivity analysis is included.

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来源期刊
European Actuarial Journal
European Actuarial Journal BUSINESS, FINANCE-
CiteScore
2.30
自引率
8.30%
发文量
35
期刊介绍: Actuarial science and actuarial finance deal with the study, modeling and managing of insurance and related financial risks for which stochastic models and statistical methods are available. Topics include classical actuarial mathematics such as life and non-life insurance, pension funds, reinsurance, and also more recent areas of interest such as risk management, asset-and-liability management, solvency, catastrophe modeling, systematic changes in risk parameters, longevity, etc. EAJ is designed for the promotion and development of actuarial science and actuarial finance. For this, we publish original actuarial research papers, either theoretical or applied, with innovative applications, as well as case studies on the evaluation and implementation of new mathematical methods in insurance and actuarial finance. We also welcome survey papers on topics of recent interest in the field. EAJ is the successor of six national actuarial journals, and particularly focuses on links between actuarial theory and practice. In order to serve as a platform for this exchange, we also welcome discussions (typically from practitioners, with a length of 1-3 pages) on published papers that highlight the application aspects of the discussed paper. Such discussions can also suggest modifications of the studied problem which are of particular interest to actuarial practice. Thus, they can serve as motivation for further studies.Finally, EAJ now also publishes ‘Letters’, which are short papers (up to 5 pages) that have academic and/or practical relevance and consist of e.g. an interesting idea, insight, clarification or observation of a cross-connection that deserves publication, but is shorter than a usual research article. A detailed description or proposition of a new relevant research question, short but curious mathematical results that deserve the attention of the actuarial community as well as novel applications of mathematical and actuarial concepts are equally welcome. Letter submissions will be reviewed within 6 weeks, so that they provide an opportunity to get good and pertinent ideas published quickly, while the same refereeing standards as for other submissions apply. Both academics and practitioners are encouraged to contribute to this new format. Authors are invited to submit their papers online via http://euaj.edmgr.com.
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