• DocumentCode
    1916602
  • Title

    Speculative trades and financial regulations: simulations based on genetic programming

  • Author

    Chen, Shu-Heng ; Yeh, Chia-Hsuan

  • Author_Institution
    Dept. of Econ., Nat. Chengchi Univ., Taipei, Taiwan
  • fYear
    1997
  • fDate
    23-25 Mar 1997
  • Firstpage
    123
  • Lastpage
    129
  • Abstract
    By exploring a two-dimensional parameter space, the paper pinpoints the area where speculative trades can contribute to the reduction of price volatility and are hence imperative for market efficiency. This area is delimited by a rather restrictive financial regulations imposed on an inherently unstable economy. Specifically, depending on the associated financial regulations, the authors´ GP-based simulations of cobweb markets show that speculative trades may reduce price volatility by 20% to 50% in an inherently unstable economy; on the other hand they may also increase price volatility by 300% to 3000%. The paper generalizes the earlier finding by Chen and Yeh (1997), which basically shows that in an inherently stable economy, speculative trades can only be destabilizing
  • Keywords
    economics; financial data processing; genetic algorithms; mathematical programming; simulation; stock markets; 2D parameter space; cobweb markets; financial regulations; genetic programming; market efficiency; price volatility reduction; simulations; speculative trades; unstable economy; Cities and towns; Computational intelligence; Computational modeling; Continuing education; Economic forecasting; Electronic mail; Equations; Genetic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering (CIFEr), 1997., Proceedings of the IEEE/IAFE 1997
  • Conference_Location
    New York City, NY
  • Print_ISBN
    0-7803-4133-3
  • Type

    conf

  • DOI
    10.1109/CIFER.1997.618924
  • Filename
    618924