OPTIMAL INVESTMENT AND DIVIDEND POLICY IN AN INSURANCE COMPANY: A VARIED BOUND FOR DIVIDEND RATES

In this paper we consider an optimal dividend problem for an insurance company whose surplus process evolves a classical Cramer-Lundberg process. We impose a varied bound over the dividend rate to raise the dividend payment at a acceptable survival probability. Our objective is to find a strategy consisting of both investment and dividend payment which maximizes the cumulative expected discounted dividend payment until the ruin time. We show that the optimal value function is a unique viscosity solution of the associated Hamilton-Jacobi-Bellman equation with a given boundary condition. We characterize the optimal value function as the smallest viscosity supersolution of the HJB equation. We introduce a method to construct the potential solution of our problem and give a verification theorem to check its optimality. Finally we show some numerical results.