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Portfolio Optimization in a Semi-Markov Modulated Market
Authors:Mrinal K Ghosh  Anindya Goswami  Suresh K Kumar
Institution:(1) Department of Mathematics, Indian Institute of Science, Bangalore, 560012, India;(2) Department of Mathematics, Indian Institute of Technology Bombay, Mumbai, 76, India
Abstract:We address a portfolio optimization problem in a semi-Markov modulated market. We study both the terminal expected utility optimization on finite time horizon and the risk-sensitive portfolio optimization on finite and infinite time horizon. We obtain optimal portfolios in relevant cases. A numerical procedure is also developed to compute the optimal expected terminal utility for finite horizon problem. This work was supported in part by a DST project: SR/S4/MS: 379/06; also supported in part by a grant from UGC via DSA-SAP Phase IV, and in part by a CSIR Fellowship.
Keywords:Risk-sensitive control  Semi-Markov process  Fixed income securities  Nonnegative factors
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