Asymptotic analysis of risk quantities conditional on ruin for multidimensional heavy-tailed random Walks

被引:5
|
作者
Liu, Jingchen [1 ]
Woo, Jae-Kyung [2 ]
机构
[1] Columbia Univ, Dept Stat, New York, NY 10027 USA
[2] Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
来源
关键词
Multivariate regularly variation; Heavy-tailed increments; Hitting rare set; Lyapunov inequality; OPTIMAL RESERVE ALLOCATION; VARYING RANDOM-WALKS; LARGE DEVIATIONS; MODEL; PROBABILITIES; TIME;
D O I
10.1016/j.insmatheco.2013.11.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper we consider a multidimensional renewal risk model with regularly varying claims. This model may be used to describe the surplus of an insurance company possessing several lines of business where a large claim possibly puts multiple lines in a risky condition. Conditional on the occurrence of ruin, we develop asymptotic approximations for the average accumulated number of claims leading the process to a rare set, and the expected total amount of shortfalls to this set in finite and infinite horizons. Furthermore, for the continuous time case, asymptotic results regarding the total occupation time of the process in a rare set and time-integrated amount of shortfalls to a rare set are obtained. (C) 2013 Elsevier B.V. All rights reserved.
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页码:1 / 9
页数:9
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