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Short-term stock price reversals after extreme downward price movements

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  • Rif, Alexandru
  • Utz, Sebastian

Abstract

We studied the intraday effects of return overreactions around extreme negative one-minute interval returns of Nasdaq100 constituents based on nanosecond data. An extreme negative one-minute interval return is defined as the lowest return that occurs once in 1,000 one-minute intervals. We document that 31% of such an extreme one-minute interval's return is reversed in the subsequent trading minute. The relative magnitude of the reversal after extreme negative one-minute interval returns is particularly high for the 20% most liquid and the 20% largest firms of our sample.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:quaeco:v:81:y:2021:i:c:p:123-133
    DOI: 10.1016/j.qref.2021.05.004
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    1. Andriy Shkilko & Konstantin Sokolov, 2020. "Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity, and Trading Costs," Journal of Finance, American Finance Association, vol. 75(6), pages 2899-2927, December.
    2. Tarun Chordia & Richard Roll & Avanidhar Subrahmanyam, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
    3. Madhavan, Ananth & Smidt, Seymour, 1993. "An Analysis of Changes in Specialist Inventories and Quotations," Journal of Finance, American Finance Association, vol. 48(5), pages 1595-1628, December.
    4. Craig W. Holden & Stacey Jacobsen, 2014. "Liquidity Measurement Problems in Fast, Competitive Markets: Expensive and Cheap Solutions," Journal of Finance, American Finance Association, vol. 69(4), pages 1747-1785, August.
    5. Thierry Foucault & Ailsa Röell & Patrik Sandås, 2003. "Market Making with Costly Monitoring: An Analysis of the SOES Controversy," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 345-384.
    6. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    7. Albert J. Menkveld & Marius A. Zoican, 2017. "Need for Speed? Exchange Latency and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1188-1228.
    8. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2002. "Order imbalance, liquidity, and market returns," Journal of Financial Economics, Elsevier, vol. 65(1), pages 111-130, July.
    9. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
    10. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    11. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    12. Hutton, Amy P. & Marcus, Alan J. & Tehranian, Hassan, 2009. "Opaque financial reports, R2, and crash risk," Journal of Financial Economics, Elsevier, vol. 94(1), pages 67-86, October.
    13. Hameed, Allaudeen & Mian, G. Mujtaba, 2015. "Industries and Stock Return Reversals," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(1-2), pages 89-117, April.
    14. Stefan Nagel, 2012. "Evaporating Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2005-2039.
    15. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    16. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2017. "High frequency trading and the 2008 short-sale ban," Journal of Financial Economics, Elsevier, vol. 124(1), pages 22-42.
    17. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    18. Gao, Cheng & Mizrach, Bruce, 2016. "Market quality breakdowns in equities," Journal of Financial Markets, Elsevier, vol. 28(C), pages 1-23.
    19. So, Eric C. & Wang, Sean, 2014. "News-driven return reversals: Liquidity provision ahead of earnings announcements," Journal of Financial Economics, Elsevier, vol. 114(1), pages 20-35.
    20. Brogaard, Jonathan & Carrion, Allen & Moyaert, Thibaut & Riordan, Ryan & Shkilko, Andriy & Sokolov, Konstantin, 2018. "High frequency trading and extreme price movements," Journal of Financial Economics, Elsevier, vol. 128(2), pages 253-265.
    21. Hasabrouck, Joel & Sofianos, George, 1993. "The Trades of Market Makers: An Empirical Analysis of NYSE Specialists," Journal of Finance, American Finance Association, vol. 48(5), pages 1565-1593, December.
    22. Vincent Van Kervel & Albert J. Menkveld, 2019. "High‐Frequency Trading around Large Institutional Orders," Journal of Finance, American Finance Association, vol. 74(3), pages 1091-1137, June.
    23. Liu, Shinhua, 2009. "The impacts of index options on the underlying stocks: The case of the S&P 100," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1034-1046, August.
    24. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    25. Cox, Don R & Peterson, David R, 1994. "Stock Returns Following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance," Journal of Finance, American Finance Association, vol. 49(1), pages 255-267, March.
    26. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    27. Lien, Donald & Yang, Li, 2005. "Availability and settlement of individual stock futures and options expiration-day effects: evidence from high-frequency data," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 730-747, September.
    28. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    29. Hasbrouck, Joel, 2018. "High-Frequency Quoting: Short-Term Volatility in Bids and Offers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 613-641, April.
    30. Handa, Puneet & Schwartz, Robert A, 1996. "Limit Order Trading," Journal of Finance, American Finance Association, vol. 51(5), pages 1835-1861, December.
    31. Brooks, Raymond M. & Kim, Hongshik, 1997. "The individual investor and the weekend effect: A reexamination with intraday data," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(3), pages 725-737.
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    More about this item

    Keywords

    Stock price reversal; High-frequency trading; Stock price crash;
    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
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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