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Fast traders and slow price adjustments: an artificial market with strategic interaction and transaction costs

Author

Listed:
  • Danilo Liuzzi

    (Ca’ Foscari University of Venice)

  • Paolo Pellizzari

    (Ca’ Foscari University of Venice)

  • Marco Tolotti

    (Ca’ Foscari University of Venice)

Abstract

In this paper, we propose an artificial market to model high-frequency trading where fast traders use threshold rules strategically to issue orders based on a signal reflecting the level of stochastic liquidity prevailing on the market. A market maker is in charge of adjusting prices (on a fast scale) and of setting closing prices and transaction costs on a daily basis, controlling for the volatility of returns and market activity. We first show that a baseline version of the model with no frictions is able to generate returns endowed with several stylized facts. This achievement suggests that the two time scales used in the model are one (possibly novel) way to obtain realistic market outcomes and that high-frequency trading can amplify liquidity shocks. We then explore whether transaction costs can be used to control excess volatility and improve market quality. While properly implemented taxation schemes may help in reducing volatility, care is needed to avoid excessively curbing activity in the market and intensifying the occurrence of abnormal peaks in returns.

Suggested Citation

  • Danilo Liuzzi & Paolo Pellizzari & Marco Tolotti, 2019. "Fast traders and slow price adjustments: an artificial market with strategic interaction and transaction costs," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 643-662, September.
    • Handle: RePEc:spr:jeicoo:v:14:y:2019:i:3:d:10.1007_s11403-018-0233-8
    DOI: 10.1007/s11403-018-0233-8
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