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ON THE EXPECTED DISCOUNTED PENALTY FUNCTION IN A MARKOV-DEPENDENT RISK MODEL WITH CONSTANT DIVIDEND BARRIER
Authors:Liu Juan  Xu Jiancheng  Hu Yijun
Institution:[1]College of Mathematics and Statistics, Hubei Normal University, Huangshi 435002 [2]School of Mathematics and Statistics, Wuhan University, Wuhan 430072
Abstract:This article considers a Markov-dependent risk model with a constant dividend barrier.A system of integro-differential equations with boundary conditions satisfied by the expected discounted penalty function,with given initial environment state,is derived and solved.Explicit formulas for the discounted penalty function are obtained when the initial surplus is zero or when all the claim amount distributions are from rational family.In two state model,numerical illustrations with exponential claim amounts are given.
Keywords:Markov-dependent risk model  dividend barrier  Cerber-Shiu function  integro-differential equation  Laplace transform
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