Optimal investment for insurers. (English) Zbl 1007.91025

Insurance business considered is modelled by a compound Poisson process with the Black-Scholes type market index. The authors show that the ruin probability of this risk process is minimized by the choice of a suitable investment strategy for a capital market index. Let \(T(t)\), \(t \geq 0,\) be the surplus process. The optimal invested amount \(A_t\), \(t \geq 0,\) at time \(t\) has the following properties: the amount of money \(A_t = A(T(t))\); \(A(0) = 0\); the derivative \(A'\) has a pole at \(0\); the function \(A\) remains bounded for exponential claim sizes, and it is unbounded for heavy-tailed claim size distributions. The result is obtained with the aid of the Bellman equation - a second order nonlinear integro-differential equation - which characterizes the value function and the optimal strategy. More explicit solutions are determined when the claim size distribution is exponential, in which case a numerical example is also provided. Another example refers to the case of Pareto claim size.
Using in the model a Brownian motion with drift in place of the compound Poisson process, S. Browne [Meth. Oper. Res. 20, 937-958 (1995; Zbl 0846.90012)] obtained the quite different result: the optimal strategy is the investment of a constant amount of money in the risky asset, irrespectively of the size of the surplus.


91B30 Risk theory, insurance (MSC2010)
93E20 Optimal stochastic control
60G40 Stopping times; optimal stopping problems; gambling theory


Zbl 0846.90012
Full Text: DOI


[1] Browne, S., Optimal investment policies for a firm with a random risk process: exponential utility and minimizing the probability of ruin, Mathematics of Operations Research, 20, 937-958 (1995) · Zbl 0846.90012
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