A cross-entropy method for value-at-risk constrained optimization

  • Authors:
  • Duc Manh Nguyen;Hoai An Le Thi;Tao Pham Dinh

  • Affiliations:
  • LMI, INSA of Rouen, Mont Saint Aignan, France;Laboratory of Theoretical and Applied Computer Science, University of Paul Verlaine - Metz, Metz, France;LMI, INSA of Rouen, Mont Saint Aignan, France

  • Venue:
  • ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
  • Year:
  • 2011

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Abstract

In this paper, we consider a portfolio optimization problem with a Value-at-Risk constraint. It is a nonconvex nonsmooth optimization problem which is very hard to solve. We propose an approach based on the Cross-Entropy (CE) method to tackle it. The numerical results show the efficiency of our approach.