RUIN PROBABILITIES FOR A MULTIDIMENSIONAL RISK MODEL WITH NON-STATIONARY ARRIVALS AND SUBEXPONENTIAL CLAIMS

被引:3
作者
Fu, Ke-Ang [1 ]
Liu, Yang [2 ]
机构
[1] Zhejiang Univ City Coll, Dept Stat, Hangzhou 310015, Peoples R China
[2] Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Peoples R China
关键词
Cox process; Hawkes process; multidimensional risk model; non-stationary arrival process; ruin probability; subexponential class; LARGE DEVIATIONS; ASYMPTOTICS; BEHAVIOR; FORCE; SUMS;
D O I
10.1017/S0269964821000085
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Consider a multidimensional risk model, in which an insurer simultaneously confronts m (m >= 2) types of claims sharing a common non-stationary and non-renewal arrival process. Assuming that the claims arrival process satisfies a large deviation principle and the claim-size distributions are heavy-tailed, asymptotic estimates for two common types of ruin probabilities for this multidimensional risk model are obtained. As applications, we give two examples of the non-stationary point process: a Hawkes process and a Cox process with shot noise intensity, and asymptotic ruin probabilities are obtained for these two examples.
引用
收藏
页码:799 / 811
页数:13
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