Artificial intelligence in portfolio management

Man Chung Chan, Chi Cheong Wong, W. F. Tse, Bernard K.S. Cheung, Gordon Y N TANG

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    8 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2002 - 3rd International Conference, Proceedings
    EditorsHujun Yin, Nigel Allinson, Richard Freeman, John Keane, Simon Hubbard
    PublisherSpringer Verlag
    Pages403-409
    Number of pages7
    ISBN (Print)9783540440253
    DOIs
    Publication statusPublished - 2002
    Event3rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002 - Manchester, United Kingdom
    Duration: 12 Aug 200214 Aug 2002

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2412
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference3rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002
    Country/TerritoryUnited Kingdom
    CityManchester
    Period12/08/0214/08/02

    Scopus Subject Areas

    • Theoretical Computer Science
    • Computer Science(all)

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