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Intradaily Price-Volume Adjustments of NYSE Stocks to Unexpected Earnings

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  • Woodruff, Catherine S
  • Senchack, A J, Jr

Abstract

The speed and path of adjustment in stocks to the degree of earnings surprise in their quarterly announcements is studied using price-volume transactions data. A differential price adjustment process was observed, with stocks having large, positive earnings surprises experiencing a faster adjustment compared to those stocks with negative earnings surprises. Volume, transaction frequency, and size were found to be directly related to the absolute degree of surprise, but very favorable earnings surprise stocks experienced initially a large number of smaller trades while stocks with large unfavorable earnings surprises had relatively fewer transactions but higher volume per trade. Copyright 1988 by American Finance Association.

Suggested Citation

  • Woodruff, Catherine S & Senchack, A J, Jr, 1988. "Intradaily Price-Volume Adjustments of NYSE Stocks to Unexpected Earnings," Journal of Finance, American Finance Association, vol. 43(2), pages 467-491, June.
    • Handle: RePEc:bla:jfinan:v:43:y:1988:i:2:p:467-91
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    Cited by:

    1. David Abad & José Yagüe & Sonia Sanabria, 2005. "Liquidity And Information Around Annual Earnings Announcements: An Intraday Analysis Of The Spanish Stock Market," Working Papers. Serie EC 2005-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. Parthajit Kayal & Sayanti Mondal, 2020. "Speed of Price Adjustment in Indian Stock Market: A Paradox," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 453-476, December.
    3. Yoshiro Tsutsui & Kenjiro Hirayama & Takahiro Tanaka & Nobutaka Uesugi, 2007. "Special Quotes Invoke Autocorrelation in Japanese Stock Prices ," Asian Economic Journal, East Asian Economic Association, vol. 21(4), pages 369-386, December.
    4. Smales, Lee A., 2014. "Non-scheduled news arrival and high-frequency stock market dynamics," Research in International Business and Finance, Elsevier, vol. 32(C), pages 122-138.
    5. Parthajit Kayal & S. Maheswaran, 2018. "Speed of Price Adjustment towards Market Efficiency: Evidence from Emerging Countries," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1_suppl), pages 112-135, April.
    6. Pieper, Ute & Schiereck, Dirk & Weber, Martin, 1992. "Die Kaufempfehlungen des "Effecten-Spiegel": Eine empirische Untersuchung im Lichte der Effizienzthese des Kapitalmarktes," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 296, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    7. Maddala, G. S. & Nimalendran, M., 1995. "An unobserved component panel data model to study the effect of earnings surprises on stock prices, trading volumes, and spreads," Journal of Econometrics, Elsevier, vol. 68(1), pages 229-242, July.
    8. Tan, Oon Geok & Gannon, Gerard L., 2002. "'Information effect' of economic news: SPI futures," International Review of Financial Analysis, Elsevier, vol. 11(4), pages 467-489.
    9. Bank, Matthias & Baumann, Ralf H., 2016. "Price formation, market quality and the effects of reduced latency in the very short run," Research in International Business and Finance, Elsevier, vol. 37(C), pages 629-645.
    10. Michael J. Fleming & Eli M. Remolona, 1997. "What moves the bond market?," Economic Policy Review, Federal Reserve Bank of New York, vol. 3(Dec), pages 31-50.
    11. Ferreira, Eurico J. & Smith, Stanley D., 1999. "Stock price reactions to recommendations in the Wall Street Journal "Small Stock Focus" column," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(3), pages 379-389.
    12. Muntermann, Jan & Guettler, Andre, 2007. "Intraday stock price effects of ad hoc disclosures: the German case," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(1), pages 1-24, February.
    13. Lee A. Smales, 2016. "Time-varying relationship of news sentiment, implied volatility and stock returns," Applied Economics, Taylor & Francis Journals, vol. 48(51), pages 4942-4960, November.
    14. Matthias Bank & Ralf Baumann, 2015. "Market efficiency under ad hoc information: evidence from Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(3), pages 173-206, August.
    15. Gosnell, Thomas F. & Keown, Arthur J. & Pinkerton, John M., 1996. "The intraday speed of stock price adjustment to major dividend changes: Bid-ask bounce and order flow imbalances," Journal of Banking & Finance, Elsevier, vol. 20(2), pages 247-266, March.
    16. Smales, Lee A., 2014. "News sentiment and the investor fear gauge," Finance Research Letters, Elsevier, vol. 11(2), pages 122-130.
    17. Elizabeth Blankespoor & Ed Dehaan & John Wertz & Christina Zhu, 2019. "Why Do Individual Investors Disregard Accounting Information? The Roles of Information Awareness and Acquisition Costs," Journal of Accounting Research, Wiley Blackwell, vol. 57(1), pages 53-84, March.
    18. Laura T. Starks, 1994. "Discussion of “Market Microstructure: An Examination of the Effects on Intraday Event Studies†," Contemporary Accounting Research, John Wiley & Sons, vol. 10(2), pages 383-386, March.

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