Annals of Operations Research

, Volume 251, Issue 1–2, pp 179–192 | Cite as

A multiple stochastic goal programming approach for the agent portfolio selection problem

  • Hatem Masri


Stochastic goal programming is a suitable solution approach for multi-objective stochastic programs when a unique goal is settled for each objective function. In this paper, we address the case of multiple stochastic goals for an objective function. We derive results from studying the agent portfolio selection problem. The proposed multiple stochastic goal programming approach allows investors to set different goals for the return objective function. A chance constrained approach is proposed to address the stochastic investors’ minimum acceptable rate of return and a recourse approach to deal with investors’ ideal rate of return. An empirical study from Bahrain stock market is reported.


Multi-objective stochastic programming Stochastic goal programming Chance constrained approach Recourse approach Portfolio selection problem 


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.College of Business AdministrationUniversity of BahrainSakhirKingdom of Bahrain

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