Distribution of shifted discrete random walk generated by distinct random variables and applications in ruin theory
arXiv:2211.14629 · doi:10.15559/24-VMSTA249
Abstract
In this paper, we set up the distribution function and the generating function of , where , , the random walk consists of periodically occurring distributions, and the integer-valued and non-negative random variables are independent. This research generalizes two recent works where and were considered respectively. The provided sequence of sums generates so-called multi-seasonal discrete-time risk model with arbitrary natural premium and its known distribution enables to calculate the ultimate time ruin probability or survival probability . Verifying obtained theoretical statements we demonstrate several computational examples for survival probability and its generating function when , , and admits Poisson and some other distributions. We also conjecture the non-singularity of certain matrices.