Optimal risk control and dividend distribution policies. Example of excess-of loss reinsurance for an insurance corporation

Bjarne Højgaard (), Søren Asmussen () and Michael Taksar ()
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Bjarne Højgaard: Department of Mathematics, Aalborg University, Fr. Bajersv. 7E, DK-9220 Aalborg Ø, Denmark
Søren Asmussen: Department of Mathematical Statistics, University of Lund, Box 118, S-221 00 Lund, Sweden
Michael Taksar: Department of AMS SUNY - Stony Brook, NY, USA Manuscript

Finance and Stochastics, 2000, vol. 4, issue 3, 299-324

Abstract: We consider a model of a financial corporation which has to find an optimal policy balancing its risk and expected profits. The example treated in this paper is related to an insurance company with the risk control method known in the industry as excess-of-loss reinsurance. Under this scheme the insurance company divert part of its premium stream to another company in exchange of an obligation to pick up that amount of each claim which exceeds a certain level a. This reduces the risk but it also reduces the potential profit. The objective is to make a dynamic choice of a and find the dividend distribution policy, which maximizes the cumulative expected discounted dividend pay-outs. We use diffusion approximation for this optimal control problem, where two situations are considered: (a) The rate of dividend pay-out are unrestricted and in this case mathematically the problem becomes a mixed singular-regular control problem for diffusion processes. Its analytical part is related to a free boundary (Stephan) problem for a linear second order differential equation. The optimal policy prescribes to reinsure using a certain retention level (depending on the reserve) and pay no dividends when the reserve is below some critical level $x_1$ and to pay out everything that exceeds $x_1$. Reinsurance will stop at a level $x_0\leq x_1$ depending on the claim size distribution. (b) The rate of dividend pay-out is bounded by some positive constant $M

Date: 2000-05-09
Note: received: May 1998; final version received: July 1999
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