Author:

Keywords:

Actuarial, Applications, Approximation, Asymptotic approximation, Asymptotics, Heavy-tailed distributions, Quality, Random variables, Stochastic dependence, Sums of random variables, Variables, Work, 01 Mathematical Sciences, 14 Economics, 15 Commerce, Management, Tourism and Services, Statistics & Probability

Abstract:

This paper establishes some asymptotic results for sums of dependent random variables, in the presence of heavy-tailedness conditions. We demonstrate how the derived results can be used to approximate functionals of sums of dependent random variables for which the analytic expression is too cumbersome to work with and which are of major importance in actuarial applications. Numerical illustrations are provided to assess the quality of the asymptotic approximations.