摘要

This paper investigates the asymptotic behavior for the tail probability of the randomly weighted sums Sigma(n)(k=1)theta X-k(k) and their maximum, where the random variables X-k and the random weights theta(k) follow a certain dependence structure proposed by Asimit and Badescu [1] and Li et al. [2]. The obtained results can be used to obtain asymptotic formulas for ruin probability in the insurance risk models with discounted factors.