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On quadratic forms in multivariate generalized hyperbolic random vectors (Biometrika - Accepted)

  • Writer: Juan Carlos Arismendi Zambrano
    Juan Carlos Arismendi Zambrano
  • May 17, 2022
  • 1 min read

Abstract

Exact and approximate expressions for tail probabilities and partial moments of quadratic forms in multivariate generalized hyperbolic random vectors are obtained. The derivations involve a generalization of the classic inversion formula of Gil-Pelaez (1951). Two numerical applications are considered: the distribution of the two stage least squares estimator, and the expected shortfall of a quadratic portfolio.

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