Optimal dynamic reinsurance policies under a generalized Denneberg’s absolute deviation principle

Ken Seng Tan, Pengyu Wei, Wei Wei, Shengchao Zhuang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper studies the optimal dynamic reinsurance policy for an insurance company whose surplus is modeled by the diffusion approximation of the classical Cramér–Lundberg model. We assume the reinsurance premium is calculated according to a proposed Mean-CVaR premium principle which generalizes Denneberg's absolute deviation principle and expected value principle. Moreover, we require that both ceded loss and retention functions are non-decreasing to rule out moral hazard. Under the objective of minimizing the ruin probability, we obtain the optimal reinsurance policy explicitly and we denote the resulting treaty as the dual excess-of-loss reinsurance. This form of the optimal treaty is new to the literature and lends support to the fact that reinsurance contracts in practice often involve layers. It also demonstrates that reinsurance treaties such as the proportional and the standard excess-of-loss, which are typically found to be optimal in the dynamic reinsurance model, need not be optimal when we consider a more general optimization model. We also consider other generalizations including (i) allowing the insurer to manage its business through both reinsurance and investment; and (ii) N-piecewise Mean-CVaR premium principle. In the former case, we not only show that the dual excess-of-loss reinsurance policy remains optimal, but also demonstrate that investing in stock can further enhance insurer's financial stability with lower ruin probability. For the latter case, we establish that the optimal reinsurance treaty can have at most N layers, which is also more consistent with practice.

Original languageEnglish
Pages (from-to)345-362
Number of pages18
JournalEuropean Journal of Operational Research
Volume282
Issue number1
Early online date3 Sep 2019
DOIs
Publication statusPublished - 1 Apr 2020

Keywords

  • Mean-CVaR
  • Moral hazard
  • Reinsurance
  • Risk management
  • Ruin probability

ASJC Scopus subject areas

  • Computer Science(all)
  • Modelling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

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