Stochastic optimal control and stochastic differential Games: applications in insurance
Abstract
The present thesis is divided into two parts.The first part begins with the development of a new approach to study the problem of optimal investment under asymmetric information. This approach heavily relies on stochastic optimal control techniques and in particular on the use of the Hamilton-Jacobi-Bellman equation. Then, we turn our attention to the introduction of inside information aspects to the insurance/reinsurance market. This is accomplished by considering two firms: an insurer and a reinsurer and letting one of the firms, the insurer, possess some additional information which is hidden from the reinsurer. By employing the aforementioned approach, we are able to treat the problem of maximizing the expected utility from terminal wealth, for both firms, by taking explicitly into account their different information sets. Finally, we provide a numerical teratment of the overall effect of the additional information on the optimal decisions of the insurer.The aim of the second p ...
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