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20202025
most citedMultivariate doubly truncated moments for generalized skew-elliptical distributions with application to multivariate tail conditional risk measures

1 citations · 3 across the 10 of their papers we have counts for

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math.ST2023★ 1 cited

An analysis of multivariate measures of skewness and kurtosis of skew-elliptical distributions

Baishuai Zuo, Narayanaswamy Balakrishnan, Chuancun Yin

This paper examines eight measures of skewness and Mardia measure of kurtosis for skew-elliptical distributions. Multivariate measures of skewness considered include Mardia, Malkov…

math.ST2023★ 1 cited

Multivariate range Value-at-Risk and covariance risk measures for elliptical and log-elliptical distributions

Baishuai Zuo, Chuancun Yin, Jing Yao

In this paper, we propose the multivariate range Value-at-Risk (MRVaR) and the multivariate range covariance (MRCov) as two risk measures and explore their desirable properties in…

math.ST2022

Doubly truncated moment risk measures for elliptical distributions

Baishuai Zuo, Chuancun Yin

In this paper, we define doubly truncated moment (DTM), doubly truncated skewness (DTS) and kurtosis (DTK). We derive DTM formulae for elliptical family, with emphasis on normal, s…

math.ST2022★ 1 cited

Multivariate doubly truncated moments for generalized skew-elliptical distributions with application to multivariate tail conditional risk measures

Baishuai Zuo, Chuancun Yin

In this paper, we focus on multivariate doubly truncated first two moments of generalized skew-elliptical (GSE) distributions and derive explicit expressions for them. It includes…

math.ST2021

Multivariate double truncated expectation and covariance risk measures for elliptical distributions

Baishuai Zuo, Chuancun Yin

The main objective of this work is to calculate the multivariate double truncated expectation (MDTE) and covariance (MDTCov) for elliptical distributions. We also consider double t…

math.ST2020

Explicit expressions for joint moments of -dimensional elliptical distributions

Baishuai Zuo, Chuancun Yin, Narayanaswamy Balakrishnan

Inspired by Stein's lemma, we derive two expressions for the joint moments of elliptical distributions. We use two different methods to derive for any m…

math.ST2020

Conditional tail risk expectations for location-scale mixture of elliptical distributions

Baishuai Zuo, Chuancun Yin

We present general results on the univariate tail conditional expectation (TCE) and multivariate tail conditional expectation for location-scale mixture of elliptical distributions…