• DocumentCode
    728450
  • Title

    Effects of linear feedback trading in an interactive market model

  • Author

    Baumann, Michael Heinrich

  • Author_Institution
    Fac. of Math., Phys. & Comput. Sci., Univ. of Bayreuth, Bayreuth, Germany
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    3880
  • Lastpage
    3885
  • Abstract
    In the literature a lot of articles about so-called feedback-based trading strategies, i.e., strategies that compute investment exclusively from their own gain exist. Price is therein treated as a disturbance variable in the technical application. With these strategies, astonishing results may be shown. However, the so-called price taker property is always assumed, that means that one´s own trading does not affect the price, which is quite unrealistic. In the work at hand, an interactive and thus more realistic market model is introduced which is completely determined by the traders´ decisions. In this market model, distinct groups of traders can interact, e.g., feedback traders and noise traders, as they are considered to be relevant in economics in explaining real market prices. Furthermore, this interactive market model is a natural generalization of the geometric Brownian motion. Of course the model has to be bubble-prone to be realistic. The market model will be analyzed as well as the effects of linear feedback strategies and trading restrictions on the price. A way to calculate thresholds for the parameters to cause bubbles is provided. To conclude the work, backtesting on real market data is performed.
  • Keywords
    Brownian motion; economics; investment; pricing; economics; feedback traders; feedback-based trading strategies; geometric Brownian motion; interactive market model; investment; linear feedback trading; noise traders; price taker property; Adaptive control; Analytical models; Computational modeling; Investment; Mathematical model; Noise; Noise measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171935
  • Filename
    7171935