文章基本信息

标题：The Formation of Optimal Portfolio of Mutual Shares Funds using Multi-Objective Genetic Algorithm
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作者：Yandra Arkeman ; Akhmad Yusuf ; Mushthofa Mushthofa 等
期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2013
卷号：11
期号：3
页码：625-636
DOI：10.12928/telkomnika.v11i3.1148
语种：English
出版社：Universitas Ahmad Dahlan
摘要：Investments in financial assets have become a trend in the globalization era, especially the investment in mutual fund shares. Investors who want to invest in stock mutual funds can set up an investment portfolio in order to generate a minimal risk and maximum return. In this study the authors used the Multi-Objective Genetic Algorithm Non-dominated Sorting II (MOGA NSGA-II) technique with the Markowitz portfolio principle to find the best portfolio from several mutual funds. The data used are 10 company stock mutual funds with a period of 12 months, 24 months and 36 months. The genetic algorithm parameters used are crossover probability of 0.65, mutation probability of 0.05, Generation 400 and a population numbering 20 individuals. The study produced a combination of the best portfolios for the period of 24 months with a computing time of 63,289 seconds.