Journal of Computational and Applied Mathematics2022,Vol.41017.DOI:10.1016/j.cam.2022.114210

Multivariate tail covariance risk measure for generalized skew-elliptical distributions

Zuo, Baishuai Yin, Chuancun
Journal of Computational and Applied Mathematics2022,Vol.41017.DOI:10.1016/j.cam.2022.114210

Multivariate tail covariance risk measure for generalized skew-elliptical distributions

Zuo, Baishuai 1Yin, Chuancun1
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作者信息

  • 1. Qufu Normal Univ
  • 折叠

Abstract

In this paper, the multivariate tail covariance (MTCov) for generalized skew-elliptical distributions is considered. Some special cases for this distribution, such as generalized skew-normal, generalized skew student -t, generalized skew-logistic and generalized skew-Laplace distributions, are also considered. In order to test the theoretical feasibility of our results, the MTCov for skewed and non skewed normal distributions is computed and compared. Finally, we give a special formula of the MTCov for generalized skew-elliptical distributions. (c) 2022 Elsevier B.V. All rights reserved.

Key words

Generalized skew-elliptical distribution/Generalized skew-logistic/Multivariate risk measures/Multivariate tail covariance/Tail variance/Generalized skew student-t/CONDITIONAL-EXPECTATION

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量20
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