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Paper detail

A Continuous Optimization Approach for the Financial Portfolio Selection under Discrete Asset Choice Constraints

In this paper we consider a generalization of the Markowitz's Mean-Variance model under linear transaction costs and cardinality constraints. The cardinality constraints are used to limit the number of assets in the optimal portfolio. The generalized model is formulated as a mixed integer quadratic programming (MIP) problem. The purpose of this paper is to investigate a continuous approach based on difference of convex functions (DC) programming for solving the MIP model. The preliminary comparative results of the proposed approach versus CPLEX are presented.

preprint2014arXivOpen access
Mahdi Moeini
Computational Engineering, Finance, and Science
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