Multi-objective stochastic programming for portfolio selection |
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Authors: | Fouad Ben Abdelaziz Belaid Aouni Rimeh El Fayedh |
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Institution: | 1. Laboratoire LARODEC, Institut Supérieur de Gestion, Le Bardo 2000, University of Tunis, Tunisia;2. Decision Aid Research Group, School of Commerce and Administration, Laurentian University, Sudbury, Ont., Canada P3E 2C6 |
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Abstract: | Generally, in the portfolio selection problem the Decision Maker (DM) considers simultaneously conflicting objectives such as rate of return, liquidity and risk. Multi-objective programming techniques such as goal programming (GP) and compromise programming (CP) are used to choose the portfolio best satisfying the DM’s aspirations and preferences. In this article, we assume that the parameters associated with the objectives are random and normally distributed. We propose a chance constrained compromise programming model (CCCP) as a deterministic transformation to multi-objective stochastic programming portfolio model. CCCP is based on CP and chance constrained programming (CCP) models. The proposed program is illustrated by means of a portfolio selection problem from the Tunisian stock exchange market. |
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Keywords: | Goal programming Compromise programming Chance constrained programming Chance constrained compromise programming Portfolio selection |
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