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Indirect Estimation of the Parameters of Agent Based Models of Financial Markets

Author

Listed:
  • Manfred GILLI,

    (University of Geneva)

  • Peter WINKER

    (International University in Germany)

Abstract
Agent based models take into account limited rational behaviour of individuals acting on financial markets. Explicit simulation of this behaviour and the resulting interac-tion of individuals provide a description of aggregate financial market time series. Al-though the outcomes of such simulations often exhibit similarities with real financial market time series, methods for explicit validation are required. This paper proposes validation using simulation based indirect estimation. It uses typical characteristic moments of financial market data to assess the similarity of simulation outcomes. Fur-thermore, the parameters of the agent based models can be estimated by maximizing this similarity. The paper presents details of this estimation approach and first results for the US–$/DM exchange rate.

Suggested Citation

  • Manfred GILLI, & Peter WINKER, 2001. "Indirect Estimation of the Parameters of Agent Based Models of Financial Markets," FAME Research Paper Series rp38, International Center for Financial Asset Management and Engineering.
    • Handle: RePEc:fam:rpseri:rp38
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    Keywords

    Agent Based Models; Indirect Estimation; Validation;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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