The Tail Mean-Variance optimal capital allocation under the extended skew-elliptical distribution

被引:0
|
作者
Li, Pingyun [1 ]
Yin, Chuancun [1 ]
机构
[1] Qufu Normal Univ, Sch Stat & Data Sci, Qufu 273165, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Capital allocation; Tail Mean-Variance model; Extended skew-elliptical distributions; Quadratic distance; Risk measure; PORTFOLIO; SELECTION;
D O I
10.1016/j.cam.2024.115965
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper we introduce a novel Tail Mean -Variance (TMV) model intended to optimize capital allocation in financial decision -making. The TMV model has many intriguing properties, such as considering the variability and tail risk of the loss function simultaneously. We specifically consider the multivariate extended skew -elliptical (ESE) distributions, which are widely applicable in financial and insurance data modeling. Additionally, we explore the probabilistic properties of the multivariate extended skew -elliptical (ESE) distributions and present explicit formulas for the TMV model within this distribution. Finally, a numerical example is provided to illustrate the results.
引用
收藏
页数:18
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