Stochastic network programming for financial planning problems
Management Science - Focused issue on financial modeling
Multi-stage stochastic linear programs for portfolio optimization
Annals of Operations Research
A heuristic algorithm for a portfolio optimization model applied to the Milan stock market
Computers and Operations Research
Heuristics for cardinality constrained portfolio optimisation
Computers and Operations Research
Improved Particle Swarm Optimization for Realistic Portfolio Selection
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
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In this paper, the optimal portfolio selection problem with transaction costs is studied. In the previous study, the transaction cost is generally assumed as a V-shaped function of difference between the existing and the new portfolio. But, in this study, a portfolio selection model with quadratic subsection concave transaction costs is presented. Due to proposed model is a complex quadratic programming problem which can't be solved by exact algorithms efficiently, an improved particle swarm optimization (IPSO) is designed to solve it. Finally, a numerical example is given to illustrate our proposed effective approach and the performances of IPSO and standard genetic algorithm (SGA) are compared. Experiment results show that IPSO is clearly superior compared to a SGA.