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Waiting Times In Simulated Stock Markets

Author

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  • ALESSANDRO N. CAPPELLINI

    (ISI Foundation, Corso Settimio Severo 65, Torino, Italy)

  • GIANLUIGI FERRARIS

    (University of Torino, Corso Unione Sovietica 218, Torino, Italy)

Abstract

Exploiting a precise reproduction of a stock exchange, the robustness of the continuous double auction (CDA) mechanism, evaluated by means of the waiting time distributions, has been proved versus 36 different setups made by varying both the operators' behavior and the market micro structure. The obtained results demonstrate that the CDA remains able to clear strongly different order flows, although the Milan stock exchange seemed to be a little more efficient than the NYSE under the allocative point of view, evidencing the intrinsic complexity of the stock market. The simulation has been built as an agent-based model in order to obtain a plausible order flow. The decisions of single agents and their interaction through the market book are realistic and reproduce some empirical analysis results. The mentioned results have been obtained either by the analysis of the complete pending time series or the same computation of the asks and bids series alone.

Suggested Citation

  • Alessandro N. Cappellini & Gianluigi Ferraris, 2009. "Waiting Times In Simulated Stock Markets," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 195-206.
  • Handle: RePEc:wsi:acsxxx:v:12:y:2009:i:02:n:s021952590900212x
    DOI: 10.1142/S021952590900212X
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    References listed on IDEAS

    as
    1. Antonio Caparrós Ruiz & Mª. Lucía Navarro Gómez, 2002. "Factors affecting quits and layoffs in Spain," Economic Working Papers at Centro de Estudios Andaluces E2002/16, Centro de Estudios Andaluces.
    2. Marco LiCalzi & Paolo Pellizzari, 2006. "The Allocative Effectiveness of Market Protocols Under Intelligent Trading," Lecture Notes in Economics and Mathematical Systems, in: Charlotte Bruun (ed.), Advances in Artificial Economics, chapter 2, pages 17-29, Springer.
    3. Pietro Terna, 2000. "Sum: A Surprising (Un)Realistic Market - Building A Simple Stock Market Structure With Swarm," Computing in Economics and Finance 2000 173, Society for Computational Economics.
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