• DocumentCode
    702439
  • Title

    A prediction-based behavioral model for financial markets

  • Author

    Gerencser, Laszlo ; Matyas, Zalan

  • Author_Institution
    Computer and Automation Institute of the Hungarian Academy of Sciences, 13-17 Kende u., Budapest 1111, Hungary
  • fYear
    2003
  • fDate
    1-4 Sept. 2003
  • Firstpage
    2973
  • Lastpage
    2977
  • Abstract
    A feedback model for financial markets is proposed, in which the control action is an agent´s decision based on his beliefs of the price dynamics and his behavior reflecting his attitude, such as risk aversion or risk preference. An adaptation mechanism is described and the condition for equilibrium is formulated as a, typically non-linear, fixed point problem for operators. A data driven stochastic approximation procedure is given for the online tuning of the predictor to achieve equilibrium. Simulation results are also presented.
  • Keywords
    Economics; Least squares approximations; Linear systems; Mathematical model; Predictive models; Stochastic processes; adaptive prediction; feedback systems; financial modeling; stochastic approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Control Conference (ECC), 2003
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-3-9524173-7-9
  • Type

    conf

  • Filename
    7086493