Optimal Proportional Reinsurance in a Bivariate Risk Model

Cristina Gosio, Ester C. Lari, Marina Ravera

Department of Economics and Business Studies, University of Genoa, Genoa, Italy.

DOI: 10.4236/me.2015.66062                

Abstract

The paper deals with the optimal proportional reinsurance in a collective risk theory model involving two classes of insurance business. These classes are dependent through the number of claims. The objective of the insurer is to choose an optimal reinsurance strategy that maximizes the expected exponential utility of terminal wealth. We are able to derive the evolution of the insurer surplus process under the assumption that the number of claims of the two classes of the insurance business has a Poisson bivariate distribution. We face the problem of finding the optimal strategy using the dynamic programming approach. Therefore, we determine the infinitesimal generator for the surplus process and for the value function, and we give the Hamilton Jacobi Bellmann (HJB) equation. Under particular assumptions, we obtain explicit form of the optimal reinsurance strategy on correspondent value function.

Keywords

Collective Risk Theory, Optimal Proportional Reinsurance, Dynamic Programming

Conflicts of Interest

The authors declare no conflicts of interest.

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