Stochastic Orderings of Multivariate Elliptical Distributions

Chuancun Yin

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Abstract: Let ${\bf X}$ and ${\bf X}$ be two $n$-dimensional elliptical random vectors, we establish an identity for $E[f({\bf Y})]-E[f({\bf X})]$, where $f: \Bbb{R}^n \rightarrow \Bbb{R}$ fulfilling some regularity conditions. Using this identity we provide a unified derivation of sufficient and necessary conditions for classifying multivariate elliptical random vectors according to several main integral stochastic orders. As a consequence we obtain new inequalities by applying it to multivariate elliptical distributions. The results generalize the corresponding ones for multivariate normal random vectors in the literature.

Date: 2019-10, Revised 2019-11
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Citations: View citations in EconPapers (2)

Published in J. Appl. Probab. 58 (2021) 551-568

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