分层再保险协议中保单限额的最优分配

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL Probability in the Engineering and Informational Sciences Pub Date : 2022-11-24 DOI:10.1017/S0269964822000432
Chuchu Wang, Wei Wang, Yiying Zhang, Peng-fei Zhao
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引用次数: 0

摘要

分层再保险契约是再保险最优设计问题中常见的一种形式。本文研究了具有依赖风险的分层再保险协议中保单限额的分配问题。本文从风险厌恶的角度出发,从右尾弱随机安排增加损失的保险公司的角度,研究了政策限制的排序和异质性对终端财富预期效用函数的影响。在一定条件下,给出了普通层再保险合同的最优分配排序。对随机分层再保险合同也进行了平行研究。作为一种特殊情况,当损失之间的确切依赖结构未知时,还可以确定最坏的政策限额分配。给出了数值例子来阐明理论结论。
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Optimal allocation of policy limits in layer reinsurance treaties
Abstract Layer reinsurance treaty is a common form obtained in the problem of optimal reinsurance design. In this paper, we study allocations of policy limits in layer reinsurance treaties with dependent risks. We investigate the effects of orderings and heterogeneity among policy limits on the expected utility functions of the terminal wealth from the viewpoint of risk-averse insurers faced with right tail weakly stochastic arrangement increasing losses. Orderings on optimal allocations are presented for normal layer reinsurance contracts under certain conditions. Parallel studies are also conducted for randomized layer reinsurance contracts. As a special case, the worst allocations of policy limits are also identified when the exact dependence structure among the losses is unknown. Numerical examples are presented to shed light on the theoretical findings.
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
审稿时长
>12 weeks
期刊介绍: The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
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