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The diversity of high-frequency traders

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  • Hagströmer, Björn
  • Nordén, Lars

Abstract

The regulatory debate concerning high-frequency trading (HFT) emphasizes the importance of distinguishing different HFT strategies and their influence on market quality. Using data from NASDAQ-OMX Stockholm, we compare market-making HFTs to opportunistic HFTs. We find that market makers constitute the lion's share of HFT trading volume (63–72%) and limit order traffic (81–86%). Furthermore, market makers have higher order-to-trade ratios and lower latency than opportunistic HFTs. In a natural experiment based on tick size changes, we find that the activity of market-making HFTs mitigates intraday price volatility.

Suggested Citation

  • Hagströmer, Björn & Nordén, Lars, 2013. "The diversity of high-frequency traders," Journal of Financial Markets, Elsevier, vol. 16(4), pages 741-770.
    • Handle: RePEc:eee:finmar:v:16:y:2013:i:4:p:741-770
    DOI: 10.1016/j.finmar.2013.05.009
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    References listed on IDEAS

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    1. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    2. Grossman, Sanford J & Miller, Merton H, 1988. " Liquidity and Market Structure," Journal of Finance, American Finance Association, vol. 43(3), pages 617-637, July.
    3. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    4. Jones, Charles M. & Lipson, Marc L., 2001. "Sixteenths: direct evidence on institutional execution costs," Journal of Financial Economics, Elsevier, vol. 59(2), pages 253-278, February.
    5. Nikolaus Hautsch & Ruihong Huang, 2012. "On the Dark Side of the Market: Identifying and Analyzing Hidden Order Placements," SFB 649 Discussion Papers SFB649DP2012-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    6. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    7. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    8. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    9. Goldstein, Michael A. & A. Kavajecz, Kenneth, 2000. "Eighths, sixteenths, and market depth: changes in tick size and liquidity provision on the NYSE," Journal of Financial Economics, Elsevier, vol. 56(1), pages 125-149, April.
    10. Bessembinder, Hendrik & Panayides, Marios & Venkataraman, Kumar, 2009. "Hidden liquidity: An analysis of order exposure strategies in electronic stock markets," Journal of Financial Economics, Elsevier, vol. 94(3), pages 361-383, December.
    11. Harris, Lawrence, 1990. "Estimation of Stock Price Variances and Serial Covariances from Discrete Observations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(3), pages 291-306, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    High-frequency trading; Market making; Market quality; Volatility;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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