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- W2908237141 abstract "This paper investigates optimal portfolio strategies in a market where the drift is driven by an unobserved Markov chain. Information on the state of this chain is obtained from stock prices and expert opinions in the form of signals at random discrete time points. As in Frey et al. (2012), Int. J. Theor. Appl. Finance, 15, No. 1, we use stochastic filtering to transform the original problem into an optimization problem under full information where the state variable is the filter for the Markov chain. The dynamic programming equation for this problem is studied with viscosity-solution techniques and with regularization arguments." @default.
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- W2908237141 date "2013-03-11" @default.
- W2908237141 modified "2023-09-27" @default.
- W2908237141 title "Dynamic Programming Equations for Portfolio Optimization under Partial Information with Expert Opinions" @default.
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