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20202022
most citedMultivariate doubly truncated moments for generalized skew-elliptical distributions with application to multivariate tail conditional risk measures

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

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.ST20221 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…

q-fin.RM2021

Multivariate tail covariance for generalized skew-elliptical distributions

Baishuai Zuo, Chuancun Yin

In this paper, the multivariate tail covariance (MTCov) for generalized skew-elliptical distributions is considered. Some special cases for this distribution, such as generalized s…

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…