May 9, 2024
Abouzar Bazyari

Abouzar Bazyari

Academic Rank: Assistant professor
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Degree: Ph.D in -
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Faculty: Faculty of Intelligent Systems and Data Science

Research

Title On the ruin probabilities for a general perturbed renewal risk process
Type Article
Keywords
Asymptotic approximation Brownian perturbation Log–logistic distribution Martingale method Pareto Distribution Ruin probability
Journal JOURNAL OF STATISTICAL PLANNING AND INFERENCE
DOI https://doi.org/10.1016/j.jspi.2023.02.005
Researchers Abouzar Bazyari (First researcher)

Abstract

This paper studies the ruin probabilities in a homogeneous continuous compound Poisson risk model which is adapted for the perturbed insurance risk model with standard Brownian motion. In such a model, we construct a martingale in terms of a differentiable exponential function based on the discounted and perturbed surplus process. We obtain the exponential upper bounds for the ruin probabilities using Martingale approach and provide a sharper exponential upper bound for the infinite time ruin probability. Moreover, we derive two asymptotic approximation formulas for the finite time ruin probability when claim size distribution belongs to some heavy-tailed families. Finally, several numerical examples are presented to show the effect of constant force of interest on the ruin probabilities and that our results are excellent and reliable.