Genetic algorithms in multi-stage asset allocation system

Man Chung Chan, Chi Cheong Wong, Bernard K.S. Cheung, Gordon Y N Tang

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

    9 Citations (Scopus)

    Abstract

    This paper presents a decision-making process that incorporates Genetic Algorithms into multi-stage asset allocation system. The objective function is to maximize one’s economic utility or end-of-period wealth. The performance of our system is demonstrated by optimizing the allocation of cash and various stocks in Shenzhen market of China. Experiments are conducted to compare performance of the portfolios optimized by different objective functions in terms of expected return and standard derivation.

    Original languageEnglish
    Title of host publicationProceedings - 2002 IEEE International Conference on Systems, Man and Cybernetics
    PublisherIEEE
    Pages316-321
    Number of pages6
    Volume3
    ISBN (Print)0780374371
    DOIs
    Publication statusPublished - Oct 2002
    Event2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
    Duration: 6 Oct 20029 Oct 2002
    https://ieeexplore.ieee.org/xpl/conhome/8325/proceeding

    Publication series

    NameProceedings of the IEEE International Conference on Systems, Man and Cybernetics
    PublisherIEEE
    ISSN (Print)1062-922X

    Conference

    Conference2002 IEEE International Conference on Systems, Man and Cybernetics
    Country/TerritoryTunisia
    CityYasmine Hammamet
    Period6/10/029/10/02
    Internet address

    Scopus Subject Areas

    • Control and Systems Engineering
    • Hardware and Architecture

    User-Defined Keywords

    • Asset allocation
    • Genetic Algorithms
    • Multi-stage stochastic optimization

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