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Intraday interactions between high-frequency trading and price efficiency

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  • Ben Ammar, Imen
  • Hellara, Slaheddine

Abstract

We examine intraday interactions between high-frequency trading (HFT) and the informational quality of prices to provide evidence on the role of HFT in the price discovery process. HFT and price efficiency display reverse L-shaped patterns with low levels at the open and strong improvement across the trading day. Using the panel vector auto-regression model, we find bi-directional causality between HFT and price efficiency: High-frequency traders react actively to movements in price efficiency, while greater intensity of HFT is associated with more efficient prices. Overall, HFT activities can be considered as efficient ways to incorporate information quickly and accurately into prices.

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  • Ben Ammar, Imen & Hellara, Slaheddine, 2021. "Intraday interactions between high-frequency trading and price efficiency," Finance Research Letters, Elsevier, vol. 41(C).
    • Handle: RePEc:eee:finlet:v:41:y:2021:i:c:s1544612320316767
    DOI: 10.1016/j.frl.2020.101862
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    Cited by:

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    2. Alexandre Aidov & Olesya Lobanova, 2021. "Volatility and Depth in Commodity and FX Futures Markets," JRFM, MDPI, vol. 14(11), pages 1-16, November.

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    More about this item

    Keywords

    Market microstructure; High-frequency trading; Algorithmic trading; Price efficiency; Variance ratio test; Panel vector auto-regression;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other

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