• DocumentCode
    2863149
  • Title

    A comparison of adaptive and static agents in equity market trading

  • Author

    Schoreels, Cyril ; Garibaldi, Jonathan M.

  • Author_Institution
    Sch. of Comput. Sci. & IT, Nottingham Univ., UK
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Firstpage
    393
  • Lastpage
    399
  • Abstract
    This paper aims to determine whether an adaptive agent population performs better than a static population. A static population is evolved on historical equity market data from the DAX-30, split into training and testing segments. An adaptive population is retrained continuously over the most recent available data that becomes available with each passing day. For comparison their performance over the out-of-sample test data is measured. Results obtained indicate a clear superiority of the adaptive over the static approach.
  • Keywords
    electronic trading; software agents; adaptive agent population; equity market trading; static agent population; Computer science; Financial management; Genetic algorithms; Genetic programming; Humans; Neural networks; Portfolios; Power system modeling; Predictive models; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
  • Print_ISBN
    0-7695-2416-8
  • Type

    conf

  • DOI
    10.1109/IAT.2005.7
  • Filename
    1565571