Some State-Specific Exit Probabilities in a Markov-Modulated Risk Model

被引:1
|
作者
Li, Jingchao [1 ,2 ]
Li, Shuanming [3 ]
机构
[1] Shenzhen Univ, Coll Math & Stat, Nanhai Ave 3688, Shenzhen 518060, Guangdong, Peoples R China
[2] Shenzhen Univ, Shenzhen Key Lab Adv Machine Learning & Applicat, Shenzhen 518060, Guangdong, Peoples R China
[3] Univ Melbourne, Ctr Actuarial Studies, Dept Econ, Parkville, Vic 3010, Australia
基金
中国国家自然科学基金;
关键词
RUIN;
D O I
10.1155/2020/5830245
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, we study some state-specific one-sided exit probabilities in a Markov-modulated risk process including the probability that ruin occurs without or with the surplus visiting certain states; the probability that ruin occurs without or with a claim occurring in certain states; the probability that the surplus attains a target level without or with visiting certain states; and the probability that the surplus attains a target level without or with a claim occurring in certain states. We also investigate the corresponding two-sided first exit probabilities without (or with) the surplus visiting certain states or without (or with) claims occurring in certain states. All these probabilities can be expressed elegantly in terms of some modified matrix scale functions which are easily computable.
引用
收藏
页数:10
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