Absolute moments of the variance-gamma distribution

Research output: Contribution to journalArticlepeer-review

Abstract

We obtain exact formulas for the absolute raw and central moments of the variancegamma distribution, as infinite series involving the modified Bessel function of the second kind and the modified Lommel function of the first kind. When the skewness parameter is equal to zero (the symmetric variance-gamma distribution), the infinite series reduces to a single term. Moreover, for the case that the shape parameter is a half-integer (in our parameterisation of the variance-gamma distribution), we obtain a closed-form expression for the absolute moments in terms of confluent hypergeometric functions. As a consequence, we deduce new exact formulas for the absolute raw and central moments of the asymmetric Laplace distribution and the product of two correlated zero mean normal random variables, and more generally the sum of independent copies of such random variables.
Original languageEnglish
Article number128861
JournalJournal of Mathematical Analysis and Applications
Volume543
Issue number1
Early online date10 Sept 2024
DOIs
Publication statusE-pub ahead of print - 10 Sept 2024

Keywords

  • Variance-gamma distribution
  • absolute moment
  • asymmetric Laplace distribution
  • product of correlated normal random variables
  • modified Bessel function
  • hypergeometric function

Fingerprint

Dive into the research topics of 'Absolute moments of the variance-gamma distribution'. Together they form a unique fingerprint.

Cite this