Asymptotics for the sum-ruin probability of a bi-dimensional compound risk model with dependent numbers of claims

Abstract This paper studies a bi-dimensional compound risk model with quasi-asymptotically independent and consistently varying-tailed random numbers of claims and establishes an asymptotic formula for the finite-time sum-ruin probability. Additionally, some results related to tail probabilities of random sums are presented, which are of significant interest in their own right. Some numerical studies are carried out to check the accuracy of the asymptotic formula.

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Publication Details

Journal
Probability in the Engineering and Informational Sciences
Published
2024-09-20
DOI
https://doi.org/10.1017/s0269964824000093
Primary Topic
Probability and Risk Models
Type
article
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article

Asymptotics for the sum-ruin probability of a bi-dimensional compound risk model with dependent numbers of claims

Dongya Cheng, Zhangting Chen
Probability in the Engineering and Informational Sciences
Probability and Risk Models
article

Asymptotics for the sum-ruin probability of a bi-dimensional compound risk model with dependent numbers of claims

Dongya Cheng, Zhangting Chen
article en

Abstract

Abstract This paper studies a bi-dimensional compound risk model with quasi-asymptotically independent and consistently varying-tailed random numbers of claims and establishes an asymptotic formula for the finite-time sum-ruin probability. Additionally, some results related to tail probabilities of random sums are presented, which are of significant interest in their own right. Some numerical studies are carried out to check the accuracy of the asymptotic formula.

Probability in the Engineering and Informational SciencesVol. 38(4)
Soochow University (CN)
Openalex Percentile: Top 81%
Probability and Risk Models
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Asymptotics for the sum-ruin probability of a bi-dimensional compound risk model with dependent numbers of claims — Dongya Cheng, Zhangting Chen · Probability in the Engineering and Informational Sciences (2024) | TGRS Research Map | TGRS