• DocumentCode
    2733838
  • Title

    Event Study Approach for Validating Agent-Based Trading Simulations

  • Author

    Cheng, Shih-Fen

  • Author_Institution
    Sch. of Inf. Syst., Singapore Manage. Univ., Singapore, Singapore
  • Volume
    2
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    465
  • Lastpage
    469
  • Abstract
    In this paper, we introduce how one can validate an event-centric trading simulation platform that is built with multi-agent technology. The issue of validation is extremely important for agent-based simulations, but unfortunately, so far there is no one universal method that would work in all domains. The primary contribution of this paper is a novel combination of event-centric simulation design and event study approach for market dynamics generation and validation. In our event-centric design, the simulation is progressed by announcing news events that affect market prices. Upon receiving these events, event-aware software agents would adjust their views on the market and act accordingly. Their actions would be based on their roles and also their private information, and collectively the market dynamics will be shaped. The generated market dynamics can then be validated by a variant of the event study approach. We demonstrate how the methodology works with several numerical experiments and conclude by highlighting the practical significance of such simulation platform.
  • Keywords
    financial data processing; multi-agent systems; software agents; stock markets; agent-based trading simulation; event study approach; event-aware software agent; event-centric simulation design; event-centric trading simulation platform; market dynamics generation; multiagent technology; Analytical models; Biological system modeling; Computational modeling; Economics; Humans; Numerical models; Security; Agent-based Computational Economy; Simulation Validation; Trading Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.212
  • Filename
    5614162