December 6, 2025
Abouzar Bazyari

Abouzar Bazyari

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

Research

Title Asymptotic Ruin Probabilities in a Dependent Perturbed Integrated Risk Process with Application
Type Article
Keywords
Affine process , Asymptotic ruin probability, Girsanov's theorem, Heavy-tailed distribution, Perturbed integrated risk model
Journal Journal of Statistical Modelling: Theory and Applications
DOI https://jsm.yazd.ac.ir/article_3943.html
Researchers Abouzar Bazyari (First researcher)

Abstract

The present paper investigates two types of perturbed integrated risk models to compute the asymptotic ruin probabilities‎: ‎(i) the risk model which is perturbed by log-return rate‎, ‎jump process‎, ‎and Brownian motion process with dependent structure between the insurance risk and investment risk when the claim sizes are pairwise strong quasi-asymptotically independent‎. ‎For this model‎, ‎we assume that the heavy-tailed claim sizes and return jumps are caused by the systematic factors with an arbitrarily dependent structure; (ii) the risk model in which the underlying price process is a geometric Brownian motion‎, ‎and the jump diffusion process is modeled by a dependent Affine process when the claim sizes are asymptotically independent‎. ‎For both dependent models‎, ‎the asymptotic ruin probabilities are obtained using mathematical approaches‎. ‎Moreover‎, ‎some numerical studies with Monte Carlo simulation using the Farlie-Gumbel-Morgenstern copula as the joint distribution function of claim sizes and return jumps are provided to verify the performance of asymptotic results‎. ‎Some of the results show that‎, ‎under the framework of regular variation with dependence structure‎, ‎the asymptotic finite-time ruin probability is insensitive to the claim sizes.