February 18, 2026
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 On computations in homogeneous renewal risk model with Wiener process perturbation
Type Article
Keywords
Claim process, Maximum surplus distribution, Ruin probability, Standard Brownian motion, Wiener process
Journal Life Cycle Reliability and Safety Engineering
DOI https://doi.org/10.1007/s41872-026-00395-0
Researchers Abouzar Bazyari (First researcher)

Abstract

We mainly adapt the well-known classical Cramér-Lundberg model with a homogeneous Poisson process to the perturbed risk model by adding a Wiener process and interest rates which may be caused by a claim amount or by fluctuation. The dynamic equation forms of risk model with having the standard Brownian motion and exponential stochastic interest rate are proposed and the dynamic value function of infinite time ruin probability is obtained using the Hamilton-Jacobi- Bellman equation. We give a barrier strategy to obtain the exponential integro-differential equations for the distribution of maximum surplus before ruin. Applying the Itô’s formula together with some mathematical analysis methods and a general form of quadratic polynomial, we obtain some integro-differential equations for evaluating the infinite time ruin probabilities. Furthermore, we deduce and simplify the closed-form results of these equations through the exponential claim amounts. Finally, to better illustrate the derived formulas, we shall study several examples in details and investigate the effect of parameters of models on the ruin probabilities