We consider the problem of maximizing the expected utility from terminal wealth in the case of CARA preferences and when the mean return rate of the stock is an unknown nitestate random variable. We reduce the problem within a complete observation setting and then, by means of dynamic programming techniques, we explicitly solve it and compare the optimal policy with the one relative to the complete observation case.
Mainini, A., Longo, M., Portfolio optimization under partial information and cara preferences, <<Portfolio optimization under partial information and cara preferences>>, 2013; 13/8 (Luglio): 3-19 [http://hdl.handle.net/10807/55733]
Portfolio optimization under partial information and cara preferences
Mainini, Alessandra;Longo, Michele
2013
Abstract
We consider the problem of maximizing the expected utility from terminal wealth in the case of CARA preferences and when the mean return rate of the stock is an unknown nitestate random variable. We reduce the problem within a complete observation setting and then, by means of dynamic programming techniques, we explicitly solve it and compare the optimal policy with the one relative to the complete observation case.
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