Asset portfolio optimization using support vector machines and real-coded genetic algorithm

  • Authors:
  • Pankaj Gupta;Mukesh Kumar Mehlawat;Garima Mittal

  • Affiliations:
  • Department of Operational Research, University of Delhi, Delhi, India and Flat No.-01, Kamayani Kunj, Delhi, India 110092;Department of Operational Research, University of Delhi, Delhi, India;Department of Operational Research, University of Delhi, Delhi, India

  • Venue:
  • Journal of Global Optimization
  • Year:
  • 2012

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Abstract

This paper presents an integrated approach for portfolio selection in a multicriteria decision making framework. Firstly, we use Support Vector Machines for classifying financial assets in three pre-defined classes, based on their performance on some key financial criteria. Next, we employ Real-Coded Genetic Algorithm to solve a mathematical model of the multicriteria portfolio selection problem in the respective classes incorporating investor-preferences.