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Optimal Reinsurance for Gerber-Shiu Functions in the Cramer-Lundberg Model

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  • Michael Preischl
  • Stefan Thonhauser

Abstract

Complementing existing results on minimal ruin probabilities, we minimize expected discounted penalty functions (or Gerber-Shiu functions) in a Cramer-Lundberg model by choosing optimal reinsurance. Reinsurance strategies are modelled as time dependant control functions, which leads to a setting from the theory of optimal stochastic control and ultimately to the problem's Hamilton-Jacobi-Bellman equation. We show existence and uniqueness of the solution found by this method and provide numerical examples involving light and heavy tailed claims and also give a remark on the asymptotics.

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  • Michael Preischl & Stefan Thonhauser, 2018. "Optimal Reinsurance for Gerber-Shiu Functions in the Cramer-Lundberg Model," Papers 1809.00990, arXiv.org.
    • Handle: RePEc:arx:papers:1809.00990
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    References listed on IDEAS

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    1. Pablo Azcue & Nora Muler, 2005. "Optimal Reinsurance And Dividend Distribution Policies In The Cramér‐Lundberg Model," Mathematical Finance, Wiley Blackwell, vol. 15(2), pages 261-308, April.
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