期刊名称：International Journal of Economics and Finance
印刷版ISSN：1916-971X
电子版ISSN：1916-9728
出版年度：2015
卷号：7
期号：8
页码：88
DOI：10.5539/ijef.v7n8p88
出版社：Canadian Center of Science and Education
摘要：Portfolio management has always been an issue of high importance in financial markets.This paper is an attempt to introduce a new technique of portfolio selection. After presenting a review of literature on factors influencing portfolio selection, the importance of each factor is determined in regards to experts’ opinions and a weight is assigned to each factor using fuzzy network analytic process technique. Consequently, using an approach based on TOPSIS and similarity, selected stocks were ranked. After depicting efficient frontiers of the top ranks obtained from both approaches, using genetic algorithm, Sharpe ratio was used in order to examine model’s performance.
