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Market quality breakdowns in equities

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  • Gao, Cheng
  • Mizrach, Bruce

Abstract

Market quality breakdowns are extreme price movements that reverse during the trading day. We analyze changes in the national best bid and offer for all stocks in CRSP and TAQ. The average daily breakdown frequency from 1993 to 2013 is 1.03%, with averages in 2010–2013 only 0.34%. Breakups, extreme price increases, occur as frequently as breakdowns. Breakdowns and breakups have fallen significantly since Regulation National Market System was implemented. Spikes in market correlation make breakdowns and breakups more likely. Both exchange-traded funds and high-frequency trading Granger cause market correlation. Breakdowns and breakups are predictable for up to two days.

Suggested Citation

  • Gao, Cheng & Mizrach, Bruce, 2016. "Market quality breakdowns in equities," Journal of Financial Markets, Elsevier, vol. 28(C), pages 1-23.
    • Handle: RePEc:eee:finmar:v:28:y:2016:i:c:p:1-23
    DOI: 10.1016/j.finmar.2016.03.002
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    Cited by:

    1. Elias Strehle, 2016. "Optimal Execution in a Multiplayer Model of Transient Price Impact," Papers 1609.00599, arXiv.org, revised Mar 2019.
    2. Saketh Aleti & Bruce Mizrach, 2021. "Bitcoin spot and futures market microstructure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 194-225, February.
    3. Aghanya, Daniel & Agarwal, Vineet & Poshakwale, Sunil, 2020. "Market in Financial Instruments Directive (MiFID), stock price informativeness and liquidity," Journal of Banking & Finance, Elsevier, vol. 113(C).
    4. Zhou, Hao & Elliott, Robert J. & Kalev, Petko S., 2019. "Information or noise: What does algorithmic trading incorporate into the stock prices?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 27-39.
    5. Karvik, Geir-Are & Noss, Joseph & Worlidge, Jack & Beale, Daniel, 2018. "The deeds of speed: an agent-based model of market liquidity and flash episodes," Bank of England working papers 743, Bank of England.
    6. Rif, Alexandru & Utz, Sebastian, 2021. "Short-term stock price reversals after extreme downward price movements," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 123-133.
    7. Zhou, Hao & Kalev, Petko S. & Frino, Alex, 2020. "Algorithmic trading in turbulent markets," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    8. Schlepper, Kathi, 2016. "High-frequency trading in the Bund futures market," Discussion Papers 15/2016, Deutsche Bundesbank.
    9. Thomas H. McInish & Olena Nikolsko‐Rzhevska & Alex Nikolsko‐Rzhevskyy & Irina Panovska, 2020. "Fast and slow cancellations and trader behavior," Financial Management, Financial Management Association International, vol. 49(4), pages 973-996, December.
    10. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    11. Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    12. Ekinci, Cumhur & Ersan, Oğuz, 2022. "High-frequency trading and market quality: The case of a “slightly exposed” market," International Review of Financial Analysis, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    Market quality; Breakdown; Breakup; Correlation; High-frequency trading;
    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
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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