Artificial intelligence supports decision by analyzing enormous information. This paper introduces an intelligent portfolio management system (IPMS) that applies artificial intelligence to assist investors in planning their investments. A prototype is developed based on the portfolio management process, involving stock selection and asset allocation optimization. A genetically optimised fuzzy rule-base is developed for stock selection. Genetic algorithm is used to optimize asset allocation according to investor’s risk aversion.
CITATION STYLE
Chan, M. C., Wong, C. C., Tse, W. F., Cheung, B. K. S., & Tang, G. Y. N. (2002). Artificial intelligence in portfolio management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2412, pp. 403–409). Springer Verlag. https://doi.org/10.1007/3-540-45675-9_60
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