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ESAIM: COCV
DOI: 10.1051/cocv/2009008
Mean variance and goal achieving portfolio for discrete-time market with currently observable source of correlations
Nikolai DokuchaevDepartment of Mathematics, Trent University, Ontario, Canada. nikolaidokuchaev@trentu.ca
Received July 11, 2008. Revised November 30, 2008. Published online June 18, 2009.
Abstract
The paper studies optimal portfolio selection for discrete time
market models in mean-variance and goal achieving setting. The
optimal strategies are obtained for models with an observed process
that causes serial correlations of price changes. The optimal
strategies are found to be myopic for the goal-achieving problem and
quasi-myopic for the mean variance portfolio.
Mathematics Subject Classification. 91B16, 91B70
Key words: Discrete time market, multi-period market, myopic strategies, serial correlation, optimal portfolio, mean variance portfolio, goal achieving
© EDP Sciences, SMAI 2009
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