The distribution of the product of independent variance-gamma random variables

Research output: Contribution to journalArticlepeer-review

Abstract

Let X and Y be independent variance-gamma random variables with zero location parameter; then the exact probability density function of the product XY is derived. Some basic distributional properties are also derived, including formulas for the cumulative distribution function and the characteristic function, as well as asymptotic approximations for the density, tail probabilities and the quantile function. As special cases, we deduce some key distributional properties for the product of two independent asymmetric Laplace random variables as well as the product of four jointly correlated zero mean normal random variables with a particular block diagonal covariance matrix. As a by-product of our analysis, we deduce some new reduction formulas for the Meijer G-function.
Original languageEnglish
Article number128530
JournalJournal of Mathematical Analysis and Applications
Volume539
Issue number1
Early online date24 May 2024
DOIs
Publication statusPublished - 1 Nov 2024

Keywords

  • Asymmetric Laplace distribution
  • Meijer G-function
  • Product distribution
  • Product of correlated normal random variables
  • Variance-gamma distribution

Fingerprint

Dive into the research topics of 'The distribution of the product of independent variance-gamma random variables'. Together they form a unique fingerprint.

Cite this