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

📝 Original Info

• Title: A Continuous Optimization Approach for the Financial Portfolio Selection under Discrete Asset Choice Constraints
• ArXiv ID: 1404.3286
• Date: 2014-04-15
• Authors: Researchers from original ArXiv paper

📝 Abstract

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.

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Deep Dive into 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.

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