On multivariate modifications of Cramer Lundberg risk model with constant intensities

Pavlina Jordanova, Milan Stehlik

Research output: Contribution to journalArticlepeer-review

Abstract

The paper considers very general multivariate modifications of Cramer– Lundberg risk model. The claims can be of different types and can arrive in groups. The groups arrival processes have constant intensities. The counting groups processes are dependent multivariate compound Poisson processes of Type I. We allow empty groups and show that in that case we can find stochastically equivalent Cramer–Lundberg model with non-empty groups. The investigated model generalizes the risk model with common shocks, the Poisson risk process of order k, the Poisson negative binomial, the Polya-Aeppli, the Polya-Aeppli of order k amongothers.All of them with one or more types of policies. The numerical characteristics, Cramer–Lundberg approximations, and probabilities of ruin are derived. During the paper, we show that the theory of these risk models intrinsically relates to the special types of integro differential equations. The probability solutions to such differential equations provide new insights, typically overseen from the standard point of view.
Original languageEnglish
Number of pages25
JournalStochastic Analysis and Applications
DOIs
Publication statusPublished - 2018

Fields of science

  • 101007 Financial mathematics
  • 101018 Statistics
  • 101024 Probability theory
  • 101029 Mathematical statistics
  • 509 Other Social Sciences

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Social and Economic Sciences (in general)

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