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The role of HFTs in order flow toxicity and stock price variance, and predicting changes in HFTs’ liquidity provisions

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  • Bonnie F. Van Ness
  • Robert A. Van Ness

    (The University of Mississippi)

  • Serhat Yildiz

    (The University of Mississippi)

Abstract

This study examines relations between high frequency trading, order flow toxicity, stock price volatility during normal and high order flow toxicity periods, and the predictability of changes in high frequency traders’ liquidity supply and demand. By employing volume-synchronized probability of informed trading (VPIN), a flow toxicity metric, we find a negative relation between high frequency trading and order flow toxicity. Our results also show that VPIN can be a good predictor of high frequency traders’ liquidity supply and demand changes. Finally, we find that high frequency traders’ impact on stock price variance is not uniform and change with order flow toxicity levels and stock volume.

Suggested Citation

  • Bonnie F. Van Ness & Robert A. Van Ness & Serhat Yildiz, 2017. "The role of HFTs in order flow toxicity and stock price variance, and predicting changes in HFTs’ liquidity provisions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 739-762, October.
  • Handle: RePEc:spr:jecfin:v:41:y:2017:i:4:d:10.1007_s12197-016-9374-6
    DOI: 10.1007/s12197-016-9374-6
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    References listed on IDEAS

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    Cited by:

    1. Prodromou, Tina & Westerholm, P. Joakim, 2022. "Are high frequency traders responsible for extreme price movements?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 94-111.
    2. Yildiz, Serhat & Van Ness, Bonnie & Van Ness, Robert, 2020. "VPIN, liquidity, and return volatility in the U.S. equity markets," Global Finance Journal, Elsevier, vol. 45(C).
    3. Rzayev, Khaladdin & Ibikunle, Gbenga, 2019. "A state-space modeling of the information content of trading volume," Journal of Financial Markets, Elsevier, vol. 46(C).

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    More about this item

    Keywords

    HFT; VPIN; Nasdaq;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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