AIMS Mathematics (Mar 2022)

Tail risk measures with application for mixtures of elliptical distributions

  • Pingyun Li,
  • Chuancun Yin

DOI
https://doi.org/10.3934/math.2022491
Journal volume & issue
Vol. 7, no. 5
pp. 8802 – 8821

Abstract

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In this paper we derive explicit formulas of tail conditional expectation (TCE) and tail variance (TV) for the class of location-scale mixtures of elliptical distributions, which includes the generalized hyper-elliptical (GHE) distribution. We also develop portfolio risk decomposition with TCE for multivariate location-scale mixtures of elliptical distributions. To illustrate our findings, we focus on the generalized hyperbolic (GH) family which is a popular subclass of the GHE for stocks modelling.

Keywords