Dynamic Portfolio Choice with Linear Rebalancing Rules
Ciamac C. Moallemi
Columbia Business School - Decision Risk and Operations
Princeton University - Bendheim Center for Finance
January 1, 2012
We consider a broad class of dynamic portfolio optimization problems that allow for complex models of return predictability, transaction costs, trading constraints, and risk considerations. Determining an optimal policy in this general setting is almost always intractable. We propose a class of linear rebalancing rules, and describe an efficient computational procedure to optimize with this class. We illustrate this method in the context of portfolio execution, and show that it achieves near optimal performance.
Number of Pages in PDF File: 41
Keywords: Portfolio Choice, Transaction Costs, Return Predictability, Portfolio Execution
JEL Classification: G11working papers series
Date posted: February 27, 2012
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