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Time Will Tell: Information in the Timing of Scheduled Earnings News

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  • Johnson, Travis L.
  • So, Eric C.

Abstract

Using novel earnings calendar data, we show that firms’ advanced scheduling of earnings announcement dates foreshadows their earnings news. Firms that schedule later-than-expected announcement dates subsequently announce worse news than those scheduling earlier-than-expected announcement dates. Despite scheduling disclosures being observable weeks ahead of earnings announcements, we show that equity markets fail to reflect the information in these disclosures until the announcement itself. By also showing that option markets respond efficiently to volatility-timing information embedded in the same scheduling disclosures, we provide novel evidence that markets fail to react to information about future earnings despite investors immediately trading on the underlying signal.

Suggested Citation

  • Johnson, Travis L. & So, Eric C., 2018. "Time Will Tell: Information in the Timing of Scheduled Earnings News," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(6), pages 2431-2464, December.
    • Handle: RePEc:cup:jfinqa:v:53:y:2018:i:06:p:2431-2464_00
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    Citations

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    Cited by:

    1. Noh, Suzie & So, Eric C. & Verdi, Rodrigo S., 2021. "Calendar rotations: A new approach for studying the impact of timing using earnings announcements," Journal of Financial Economics, Elsevier, vol. 140(3), pages 865-893.
    2. Devrimi Kaya & Christian Maier & Tobias Böhmer, 2020. "Empirische Kapitalmarktforschung zu Conference Calls: Eine Literaturanalyse [Empirical Capital Market Research on Conference Calls: A Literature Review]," Schmalenbach Journal of Business Research, Springer, vol. 72(2), pages 183-212, June.
    3. Hirshleifer, David & Sheng, Jinfei, 2022. "Macro news and micro news: Complements or substitutes?," Journal of Financial Economics, Elsevier, vol. 145(3), pages 1006-1024.
    4. Doron Israeli & Ron Kasznik & Suhas A. Sridharan, 2022. "Unexpected distractions and investor attention to corporate announcements," Review of Accounting Studies, Springer, vol. 27(2), pages 477-518, June.
    5. Xin Cheng & Dan Palmon & Yinan Yang & Cheng Yin, 2023. "Strategic Earnings Announcement Timing and Fraud Detection," Journal of Business Ethics, Springer, vol. 182(3), pages 851-874, January.
    6. Hyunkwon Cho & Sunhwa Choi & Robert Kim, 2023. "Less timely earnings announcements and voluntary disclosure," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(3-4), pages 524-564, March.
    7. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    8. Liu, Bibo & Wang, Huijun & Yu, Jianfeng & Zhao, Shen, 2020. "Time-varying demand for lottery: Speculation ahead of earnings announcements," Journal of Financial Economics, Elsevier, vol. 138(3), pages 789-817.
    9. Drummond, Philip A., 2023. "Market quality surrounding anticipated distraction events: Evidence from the FIFA World Cup," Journal of Financial Markets, Elsevier, vol. 63(C).
    10. Ed deHaan & Ties de Kok & Dawn Matsumoto & Edgar Rodriguez-Vazquez, 2023. "How Resilient Are Firms’ Financial Reporting Processes?," Management Science, INFORMS, vol. 69(4), pages 2536-2545, April.
    11. Kimball Chapman & Michael Drake & Joseph H. Schroeder & Timothy Seidel, 2023. "Earnings announcement delays and implications for the auditor-client relationship," Review of Accounting Studies, Springer, vol. 28(1), pages 45-90, March.

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