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Discrete-time mean-variance portfolio optimization with Markov switching parameters

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Author(s):
Araujo, Michael Viriato ; do Valle Costa, Oswaldo Luiz ; IEEE
Total Authors: 3
Document type: Journal article
Source: 2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12; v. 1-12, p. 2-pg., 2006-01-01.
Abstract

In this paper, a discrete-time version of the multiperiod mean-variance portfolio selection problem in which the market parameters are subjected to a random regime switching is investigated. We analitically derive an optimal control policy for this mean-variance formulation in a closed form. Such a poticy can be obtained by the solution of a set of interconnected Riccatti difference equations. Additionaly, an explicit expression for the efficient frontier corresponding to this control law is identified and a numerical example with brazilian assets is presented. (AU)

FAPESP's process: 03/06736-7 - Control and filtering of Markovian jumping parameters stochastic systems
Grantee:João Bosco Ribeiro do Val
Support Opportunities: Research Projects - Thematic Grants