Gambler's ruin problem in a Markov-modulated jump-diffusion risk model

IF 1.6 3区 经济学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Scandinavian Actuarial Journal Pub Date : 2022-01-24 DOI:10.1080/03461238.2021.2025145
Yuxuan Liu, Zhengjun Jiang, Yixin Qu
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Abstract

ABSTRACT When an insurance company's risk reserve is governed by a Markov-modulated jump-diffusion risk model, we study gambler's ruin problem in terms of two-sided ruin probability that the insurance company shall be ruined before its risk reserve reaches an upper barrier level . We employ Banach contraction principle and q-scale functions to confirm the two-sided ruin probability to be the only fixed point of a contraction mapping and construct an iterative algorithm of approximating the two-sided ruin probability. We find that the two-sided ruin probability and Lipschitz constant in the contraction mapping depend on the upper barrier level b, premium rate per squared volatility, Markov intensity rate per squared volatility, Poisson intensity rate per squared volatility and the mean value of claim per unit of time. Finally, we present a numerical example with two regimes to show the efficiency of the iterative algorithm.
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马尔可夫调制跳跃-扩散风险模型中的赌徒破产问题
摘要当保险公司的风险准备金受马尔可夫调制跳跃-扩散风险模型约束时,我们从保险公司在其风险准备金达到上限之前破产的双边破产概率角度研究了赌徒破产问题。利用Banach收缩原理和q尺度函数,证实了双边破产概率是收缩映射的唯一不动点,构造了逼近双边破产概率的迭代算法。我们发现,收缩映射中的双边破产概率和Lipschitz常数依赖于上障碍水平b、每平方波动率的溢价率、每平方波动率的马尔可夫强度率、每平方波动率的泊松强度率和每单位时间索赔的平均值。最后给出了两种情况下的数值算例,说明了迭代算法的有效性。
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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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