On the asymptotics of tail conditional expectation for portfolio loss under bivariate Eyraud-Farlie-Gumbel-Morgenstern copula and heavy tails

被引:1
|
作者
Xing, Guo-dong [1 ,2 ]
Li, Xiaohu [3 ]
Yang, Shanchao [4 ]
机构
[1] Xiamen Univ, Sch Math Sci, Xiamen, Peoples R China
[2] Shangrao Normal Univ, Sch Math & Comp Sci, Shangrao, Peoples R China
[3] Stevens Inst Technol, Dept Math Sci, Hoboken, NJ 07030 USA
[4] Guangxi Normal Univ, Sch Math & Stat, Guilin, Peoples R China
基金
美国国家科学基金会;
关键词
Asymptotics; Bivariate Eyraud-Farlie-Gumbel-Morgenstern copula; Portfolio loss; Power-law; Tail conditional expectation;
D O I
10.1080/03610918.2018.1510526
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In the setting of bivariate Eyraud-Farlie-Gumbel-Morgenstern copula and heavy tails characterized by the power law of tail decay, we present the asymptotics of tail conditional expectation for portfolio loss as the confidence level tends to one. In order to illustrate the obtained result, a numerical example and its relevant simulation are carried out.
引用
收藏
页码:2049 / 2058
页数:10
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