Abstract
This paper studies a Markov-dependent risk model in which the claim occurrence and the claim amount are regulated by an external discrete time Markov process. Integro-differential equations in matrix form for the Gerber-Shiu discounted penalty function are presented. Then the analytical solutions to the equations are derived. Finally, in the two-state model, some numerical results are obtained when claim amount is exponentially distributed.
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