Asymptotic approximations for the distribution of the product of correlated normal random variables
We obtain asymptotic approximations for the probability density function of the product of two correlated normal random variables with non-zero means and arbitrary variances. As a consequence, we deduce asymptotic approximations for the tail probabilities and quantile functions of this distribution, as well as an asymptotic approximation for the widely used risk measures value at risk and tail value at risk.
Authors
- Robert E. Gaunt (ORCID: https://orcid.org/0000-0001-6187-0657)
- Zixin Ye
Institutions
- University of Manchester (GB)
Publication Details
- Journal
- Journal of Mathematical Analysis and Applications
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1016/j.jmaa.2024.128987
- Citations
- 4
- Primary Topic
- Probability and Risk Models
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- University of Manchester
- Engineering and Physical Sciences Research Council