The distribution of the product of independent variance-gamma random variables
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929339519467520 |
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| author | Gaunt, Robert E. Li, Siqi |
| author_facet | Gaunt, Robert E. Li, Siqi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_17446 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The distribution of the product of independent variance-gamma random variables Gaunt, Robert E. Li, Siqi Probability Primary 60E05, 62E15, Secondary 41A60 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. |
| title | The distribution of the product of independent variance-gamma random variables |
| topic | Probability Primary 60E05, 62E15, Secondary 41A60 |
| url | https://arxiv.org/abs/2401.17446 |