DC (difference of convex) programming approach for portfolio optimization under step increasing transaction costs

DC (difference of convex) programming approach for portfolio optimization under step increasing transaction costs

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Article ID: iaor200973302
Volume: 58
Issue: 3
Start Page Number: 267
End Page Number: 289
Publication Date: Apr 2009
Journal: Optimization
Authors: , ,
Keywords: portfolio optimization
Abstract:

We address a class of particularly hard-to-solve portfolio optimization problems, namely the portfolio optimization under step increasing transaction costs. The step increasing functions are approximated, as closely as desired by a difference of polyhedral convex functions. Then we apply the difference of convex functions algorithm (DCA) to the resulting polyhedral DC program. For testing the efficiency of the DCA we compare it with CPLEX and the branch and bound algorithm proposed by Konno et al.

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