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Order Placement in a Continuous Double Auction Agent Based Model

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  • Alexandru Mandes

    (University of Gießen)

Abstract

Modeling intraday financial markets by means of agent based models requires an additional building block which reflects the order execution, i.e. the trading process. Current implementations rely only on stochastic placement strategies, ranging from total randomness to adding some budget constraints. This contribution addresses the issue of order placement for low-tech traders, by replacing the zero-intelligence assumption with a microtrading-based approach. The results show that the power-law decaying relative price distribution of off-spread limit orders and the concave shape of the overall market price impact can be replicated when rational order submission strategies are used.

Suggested Citation

  • Alexandru Mandes, 2014. "Order Placement in a Continuous Double Auction Agent Based Model," MAGKS Papers on Economics 201443, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    • Handle: RePEc:mar:magkse:201443
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    File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/43-2014_mandes.pdf
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    References listed on IDEAS

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    Cited by:

    1. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1075-1092, July.
    2. Veryzhenko, Iryna & Harb, Etienne & Louhichi, Waël & Oriol, Nathalie, 2017. "The impact of the French financial transaction tax on HFT activities and market quality," Economic Modelling, Elsevier, vol. 67(C), pages 307-315.
    3. Iryna Veryzhenko & Lise Arena & Etienne Harb & Nathalie Oriol, 2017. "Time to Slow Down for High‐Frequency Trading? Lessons from Artificial Markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(2-3), pages 73-79, April.
    4. Alexandru Mandes, 2015. "Impact of inventory-based electronic liquidity providers within a high-frequency event- and agent-based modeling framework," MAGKS Papers on Economics 201515, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Iryna Veryzhenko & Lise Arena, 2017. "A Reexamination of High Frequency Trading Regulation Effectiveness in an Artificial Market Framework," Post-Print halshs-01444738, HAL.

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    More about this item

    Keywords

    agent based modeling; high-frequency financial markets; continuous double auction; order placement; market impact;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • N20 - Economic History - - Financial Markets and Institutions - - - General, International, or Comparative

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