• DocumentCode
    120778
  • Title

    An agent-based model for market impact

  • Author

    Oesch, Christian

  • Author_Institution
    Fac. of Bus. & Econ., Univ. of Basel, Basel, Switzerland
  • fYear
    2014
  • fDate
    27-28 March 2014
  • Firstpage
    17
  • Lastpage
    24
  • Abstract
    Based on recent theoretical and empirical developments this paper proposes an agent-based model for market impact. Three types of agents are present on the market: Liquidity consumers, liquidity providers and noise traders. The first group creates large orders based on portfolio considerations. When they submit an order to the market they split it up into smaller parts to evade price impact costs. The second group of agents acts as liquidity providers which forecast order flow and supply liquidity at both sides of the order book. Noise traders represent the third group of agents which cover all other strategies on the market. The model is able to produce both temporary and permanent market impact while keeping statistical price efficiency as well as concave market impact functions in relative order sizes. The results are insensitive to reasonable parameter variations.
  • Keywords
    multi-agent systems; stock markets; agent-based model; concave market impact functions; liquidity consumers; liquidity providers; market impact; noise traders; permanent market impact; portfolio considerations; price impact costs; statistical price efficiency; temporary market impact; Analytical models; Consumer electronics; Correlation; Noise; Portfolios; Random variables; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/CIFEr.2014.6924049
  • Filename
    6924049