Tail asymptotics of generalized deflated risks with insurance applications

被引:3
|
作者
Ling, Chengxiu [1 ,2 ]
Peng, Zuoxiang [1 ]
机构
[1] Southwest Univ, Sch Math & Stat, Chongqing 400715, Peoples R China
[2] Univ Lausanne, Dept Actuarial Sci, UNIL Dorigny, CH-1015 Lausanne, Switzerland
来源
基金
中国国家自然科学基金;
关键词
Deflated risks; Expectile; Haezendonck-Goovaerts risk measure; Second-order/third-order regular variations; Extreme value theory; REGULAR VARIATION; EXTREME; INDEX;
D O I
10.1016/j.insmatheco.2016.09.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
Let X and S is an element of (0, 1) be two independent risk variables. This paper investigates approximations of generalized deflated risks E{(XII)-I-kappa{SX > x}} with a flexible constant kappa >= 0 under extreme value theory framework. Our findings are illustrated by three applications concerning higher-order tail approximations of deflated risks as well as approximations of the Haezendonck Goovaerts and expectile risk measures. Numerical analyses show that higher-order approximations obtained in this paper significantly improve lower-order approximations. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:220 / 231
页数:12
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