Bowley reinsurance with asymmetric information: a first-best solution

IF 1.6 3区 经济学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
T. Boonen, Yiying Zhang
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引用次数: 3

Abstract

Bowley reinsurance solutions are reinsurance contracts for which the reinsurer optimally sets the pricing density while anticipating that the insurer will choose the optimal reinsurance indemnity given this pricing density. This Bowley solution concept of equilibrium reinsurance strategy has been revisited in the modern risk management framework by Boonen et al. [(2021). Bowley reinsurance with asymmetric information on the insurer's risk preferences. Scandinavian Actuarial Journal 2021, 623–644], where the insurer and reinsurer are both endowed with distortion risk measures but there is asymmetric information on the distortion risk measure of the insurer. In this article, we continue to study this framework, but we allow the premium principle to be more flexible. We call this solution the first-best Bowley solution. We provide first-best Bowley solutions in closed form under very general assumptions. We implement some numerical examples to illustrate the findings and the comparisons with the second-best solution. The main result is further extended to the case when both the reinsurer and the insurers have heterogeneous beliefs on the distribution functions of the underlying risk.
信息不对称的鲍利再保险:最优方案
Bowley再保险解决方案是一种再保险合同,其中再保险人设定了最优定价密度,同时期望保险人在此定价密度下选择最优再保险赔付。Boonen等人[(2021)]在现代风险管理框架中重新审视了均衡再保险策略的Bowley解概念。保险公司风险偏好信息不对称的鲍利再保险。斯堪的纳维亚精算杂志(Scandinavian Actuarial Journal, 2021, 623-644),其中保险人和再保险人都被赋予了扭曲风险度量,但保险人的扭曲风险度量存在信息不对称。在本文中,我们将继续研究这个框架,但我们允许溢价原则更加灵活。我们称这个解为最优鲍利解。我们在非常一般的假设下提供封闭形式的最佳鲍利解。我们实施了一些数值算例来说明研究结果以及与次优解的比较。主要结果进一步推广到再保险人和保险人对潜在风险的分布函数有异质信念的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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