On asymptotic ruin probability for a bidimensional renewal risk model with dependent and subexponential main claims and delayed claims

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED
Yueli Yang, Bingzhen Geng, Shijie Wang
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引用次数: 0

Abstract

In this paper, we consider a bidimensional renewal risk model with dependent main claims and delayed claims. Concretely, suppose that an insurance company simultaneously operates two kinds of businesses which separately trigger two types of claims named main claims and delayed claims, respectively, the two lines of businesses share a common claim-arrival counting process, and the random pairs from the two main claims as well as the random pairs from the two delayed claims, independent of each other, follow bivariate Farlie–Gumbel–Morgenstern distributions with different parameters. Assuming that all the claims are subexponential, an asymptotic formula of finite-time ruin probability for such a model is derived as the initial surpluses tend to infinity, which extends some recent ones in the literature.

关于具有依赖性和亚指数主债权及延迟债权的二维续期风险模型的渐近毁损概率
在本文中,我们考虑了一个具有依赖性主赔款和延迟赔款的二维续保风险模型。具体来说,假设一家保险公司同时经营两种业务,这两种业务分别引发名为主赔款和延迟赔款的两类赔款,两类业务共享一个共同的赔款到达计数过程,两类主赔款的随机对和两类延迟赔款的随机对相互独立,遵循具有不同参数的二元 Farlie-Gumbel-Morgenstern 分布。假设所有索赔都是次指数分布,当初始盈余趋于无穷大时,推导出了这种模型的有限时间毁损概率的渐近公式,该公式扩展了近期文献中的一些公式。
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
CiteScore
1.50
自引率
11.10%
发文量
56
审稿时长
>12 weeks
期刊介绍: Japan Journal of Industrial and Applied Mathematics (JJIAM) is intended to provide an international forum for the expression of new ideas, as well as a site for the presentation of original research in various fields of the mathematical sciences. Consequently the most welcome types of articles are those which provide new insights into and methods for mathematical structures of various phenomena in the natural, social and industrial sciences, those which link real-world phenomena and mathematics through modeling and analysis, and those which impact the development of the mathematical sciences. The scope of the journal covers applied mathematical analysis, computational techniques and industrial mathematics.
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