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

Published online by Cambridge University Press:  05 October 2018

Travis L. Johnson  and
Eric C. So
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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.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 53 , Issue 6 , December 2018 , pp. 2431 - 2464
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2018 

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Footnotes

1

We thank Jarrad Harford (the editor) and Jacob Thornock (the referee) for helpful feedback. We also thank Malcolm Baker, John Campbell, Wesley Chan, Asher Curtis, Ed deHaan, Lily Fang, Sam Hartzmark (Miami Behavioral Finance (MBF) Conference discussant), John Mahler, Dawn Matsumoto, Chris Noe, Mort Pincus, Rodrigo Verdi, Joseph Weber, and seminar participants at MIT, the 2014 Citigroup Quant Research Conference, NASDAQ Economic Research, Arrowstreet Capital, Ohio State University, Arcadian Asset Management, the University of Washington, the 2014 MBF Conference, and the 2015 Power of Events Conference for helpful comments and suggestions. We also thank Wall Street Horizon for providing daily earnings calendar data and Xiang (Nicole) Liu for excellent research assistance.

References

Abarbanell, J., and Lehavy, R.. “Biased Forecasts or Biased Earnings? The Role of Reported Earnings in Explaining Apparent Bias and Over/Underreaction in Analysts’ Earnings Forecasts.” Journal of Accounting and Economics, 36 (2003), 105–146.Google Scholar
Bagnoli, M.; Kross, W.; and Watts, S. G.. “The Information in Management’s Expected Earnings Report Date: A Day Late, a Penny Short.” Journal of Accounting Research, 40 (2002), 1275–1296.Google Scholar
Bakshi, G., and Kapadia, N.. “Delta-Hedged Gains the Negative Market Volatility Risk Premium.” Review of Financial Studies, 16 (2003), 527–566.Google Scholar
Ball, R., and Brown, P.. “An Empirical Evaluation of Accounting Income Numbers.” Journal of Accounting Research, 6 (1968), 159–178.Google Scholar
Begley, J., and Fischer, P. E.. “Is There Information in an Earnings Announcement Delay?” Review of Accounting Studies, 3 (1998), 347–363.Google Scholar
Carhart, M. M.“On Persistence in Mutual Fund Performance.” Journal of Finance, 52 (1997), 57–82.Google Scholar
Chambers, A. E., and Penman, S. H.. “Timeliness of Reporting and the Stock Price Reaction to Earnings Announcements.” Journal of Accounting Research, 22 (1984), 21–47.Google Scholar
Chang, T. Y.; Hartzmark, S. M.; Solomon, D. H.; and Soltes, E. F.. “Being Surprised by the Unsurprising: Earnings Seasonality and Stock Returns.” Review of Financial Studies, 30 (2016), 281–323.Google Scholar
Cohen, L., and Lou, D.. “Complicated Firms.” Journal of Financial Economics, 104 (2012), 383–400.Google Scholar
Coval, J. D., and Shumway, T.. “Expected Option Returns.” Journal of Finance, 56 (2001), 983–1009.Google Scholar
Daniel, K.; Grinblatt, M.; Titman, S.; and Wermers, R.. “Measuring Mutual Fund Performance with Characteristic-Based Benchmarks.” Journal of Finance, 52 (1997), 1035–1058.Google Scholar
deHaan, E.; Shevlin, T.; and Thornock, J.. “Market (In)Attention and the Strategic Scheduling and Timing of Earnings Announcements.” Journal of Accounting and Economics, 60 (2015), 36–55.Google Scholar
DellaVigna, S., and Pollet, J. M.. “Investor Inattention Friday Earnings Announcements.” Journal of Finance, 64 (2009), 709–749.Google Scholar
Drake, M. S.; Roulstone, D. T.; and Thornock, J. R.. “Investor Information Demand: Evidence from Google Searches around Earnings Announcements.” Journal of Accounting Research, 50 (2012), 1001–1040.Google Scholar
Duarte-Silva, T.; Fu, H.; Noe, C. F.; and Ramesh, K.. “How Do Investors Interpret Announcements of Earnings Delays?” Journal of Applied Corporate Finance, 25 (2013), 64–71.Google Scholar
Fama, E. F., and French, K. R.. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics, 33 (1993), 3–56.Google Scholar
Giglio, S., and Shue, K.. “No News Is News: Do Markets Underreact to Nothing?” Review of Financial Studies, 27 (2014), 3389–3440.Google Scholar
Gilson, S. C.“Management Turnover and Financial Distress.” Journal of Financial Economics, 25 (1989), 241–262.Google Scholar
Givoly, D., and Palmon, D.. “Timeliness of Annual Earnings Announcements: Some Empirical Evidence.” Accounting Review, 57 (1982), 486–508.Google Scholar
Guttman, I.; Ilan, K.; and Skrzypacz, A.. “Not Only What But Also When: A Theory of Dynamic Voluntary Disclosure.” American Economic Review, 104 (2014), 2400–2420.Google Scholar
Hirshleifer, D.; Lim, S.; and Teoh, S.. “Driven to Distraction: Extraneous Events and Underreaction to Earnings News.” Journal of Finance, 64 (2009), 2289–2325.Google Scholar
Johnson, T. L., and So, E. C.. “Asymmetric Trading Costs Prior to Earnings Announcements: Implications for Price Discovery and Returns.” Journal of Accounting Research, 56 (2018), 217–263.Google Scholar
Kothari, S. P.; Shanken, J.; and Sloan, R. G.. “Another Look at the Cross-Section of Expected Stock Returns.” Journal of Finance, 50 (1995), 185–224.Google Scholar
Kothari, S. P.; Shu, S.; and Wysocki, P. D.. “Do Managers Withhold Bad News?” Journal of Accounting Research, 47 (2009), 241–276.Google Scholar
Kross, W.“Earnings and Announcement Time Lags.” Journal of Business Research, 9 (1981), 267–281.Google Scholar
Kross, W., and Schroeder, D. A.. “An Empirical Investigation of the Quarterly Earnings Announcement Timing on Stock Returns.” Journal of Accounting Research, 24 (1984), 153–176.Google Scholar
Livnat, J., and Zhang, L.. “Is There News in the Timing of Earnings Announcements?” Journal of Investing, 24 (2015), 17–26.Google Scholar
Ljungqvist, A.; Malloy, C.; and Marston, F.. “Rewriting History.” Journal of Finance, 64 (2009), 1935–1960.Google Scholar
McLean, R. D., and Pontiff, J.. “Does Academic Research Destroy Stock Return Predictability?” Journal of Finance, 71 (2016), 5–32.Google Scholar
Penman, S. H.“Abnormal Returns to Investment Strategies Based on the Timing of Earnings Reports.” Journal of Accounting and Economics, 6 (1984), 165–183.Google Scholar
Rosenberg, B., and Houglet, M.. “Error Rates in CRSP and Compustat Data Bases and Their Implications.” Journal of Finance, 29 (1974), 1303–1310.Google Scholar
So, E. C.“A New Approach to Predicting Analyst Forecast Errors: Do Investors Overweight Analyst Forecasts?” Journal of Financial Economics, 108 (2013), 615–640.Google Scholar
Zmijewski, M. E.“Methodological Issues Related to the Estimation of Financial Distress Prediction Models.” Journal of Accounting Research, 22 (1984), 59–82.Google Scholar