On the Discounted Penalty Function in a Perturbed Erlang Renewal Risk Model With Dependence

Franck Adékambi, Essodina Takouda

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, we consider the risk model perturbed by a diffusion process. We assume an Erlang(n) risk process, (n= 1 , 2 , …) to study the Gerber-Shiu discounted penalty function when ruin is due to claims or oscillations by including a dependence structure between claim sizes and their occurrence time. We derive the integro-differential equation of the expected discounted penalty function, its Laplace transform. Then, by analyzing the roots of the generalized Lundberg equation, we show that the expected penalty function satisfies a certain defective renewal equation and provide its representation solution. Finally, we give some explicit expressions for the Gerber-Shiu discounted penalty functions when the claim size distributions are Erlang(m), (m= 1 , 2 , …) and provide numerical examples to illustrate the ruin probability.

Original languageEnglish
Pages (from-to)481-513
Number of pages33
JournalMethodology and Computing in Applied Probability
Volume24
Issue number2
DOIs
Publication statusPublished - Jun 2022

Keywords

  • Aggregate risk process
  • Convolution formula
  • Copulas
  • Diffusion process
  • Erlang distribution
  • Penalty function
  • Renewal equation
  • Ruin theory

ASJC Scopus subject areas

  • Statistics and Probability
  • General Mathematics

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