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Expected Log-Utility Maximization Under Incomplete Information and with Cox-Process Observations

Kazufumi Fujimoto (), Hideo Nagai () and Wolfgang Runggaldier ()

Asia-Pacific Financial Markets, 2014, vol. 21, issue 1, 35-66

Abstract: We consider the portfolio optimization problem for the criterion of maximization of expected terminal log-utility. The underlying market model is a regime-switching diffusion model where the regime is determined by an unobservable factor process forming a finite state Markov process. The main novelty is due to the fact that prices are observed and the portfolio is rebalanced only at random times corresponding to a Cox process where the intensity is driven by the unobserved Markovian factor process as well. This leads to a more realistic modeling for many practical situations, like in markets with liquidity restrictions; on the other hand it considerably complicates the problem to the point that traditional methodologies cannot be directly applied. The approach presented here is specific to the log-utility. For power utilities a different approach is presented in the companion paper (Fujimoto et al. in Appl Math Optim 67(1):33–72, 2013 ). Copyright Springer Japan 2014

Keywords: Portfolio optimization; Stochastic control; Incomplete information; Regime-switching models; Cox-process observations; Random trading times (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s10690-013-9176-1

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