On quadratic forms in multivariate generalized hyperbolic random vectors

Authors
Publication date 06-2021
Journal Biometrika
Volume | Issue number 108 | 2
Pages (from-to) 413–424
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
  • Faculty of Economics and Business (FEB)
Abstract This article presents exact and approximate expressions for tail probabilities and partial moments of quadratic forms in multivariate generalized hyperbolic random vectors. The derivations involve a generalization of the classic inversion formula for distribution functions (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.
Document type Article
Note With supplementary file
Language English
Published at https://doi.org/10.1093/biomet/asaa067
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