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Is all disaggregation good for investors? Evidence from earnings announcements

Author

Listed:
  • Eric R. Holzman

    (The Ohio State University)

  • Nathan T. Marshall

    (University of Colorado Boulder)

  • Joseph H. Schroeder

    (Indiana University)

  • Teri Lombardi Yohn

    (Emory University)

Abstract

Research suggests that greater earnings disaggregation in financial statements leads to favorable market outcomes. This perspective is based on a presumption that the disaggregation separates earnings components with heterogeneous characteristics. We hypothesize that the disaggregation of homogeneous earnings components is associated with greater investor disagreement and a less efficient market response to the earnings announcement. We estimate persistence regressions at the industry level and classify earnings components with persistence that differs significantly from the persistence of sales as heterogeneous and components with persistence that does not differ from the persistence of sales as homogeneous. Consistent with our hypothesis, we find a significant positive relation between the level of homogeneous earnings disaggregation and investor disagreement around earnings announcements. We also find significantly greater post-earnings announcement drift after earnings announcements with greater homogeneous earnings disaggregation. This evidence is consistent with homogeneous earnings disaggregation hindering investors’ ability to impound earnings information into price efficiently.

Suggested Citation

  • Eric R. Holzman & Nathan T. Marshall & Joseph H. Schroeder & Teri Lombardi Yohn, 2021. "Is all disaggregation good for investors? Evidence from earnings announcements," Review of Accounting Studies, Springer, vol. 26(2), pages 520-558, June.
  • Handle: RePEc:spr:reaccs:v:26:y:2021:i:2:d:10.1007_s11142-020-09566-5
    DOI: 10.1007/s11142-020-09566-5
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    as
    1. Jeff L. McMullin & Bryce Schonberger, 2020. "Entropy-balanced accruals," Review of Accounting Studies, Springer, vol. 25(1), pages 84-119, March.
    2. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    3. Botosan, CA & Harris, MS, 2000. "Motivations for a change in disclosure frequency and its consequences: An examination of voluntary quarterly segment disclosures," Journal of Accounting Research, Wiley Blackwell, vol. 38(2), pages 329-353.
    4. Heitzman, Shane & Wasley, Charles & Zimmerman, Jerold, 2010. "The joint effects of materiality thresholds and voluntary disclosure incentives on firms' disclosure decisions," Journal of Accounting and Economics, Elsevier, vol. 49(1-2), pages 109-132, February.
    5. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    6. Rogers, Jonathan L. & Skinner, Douglas J. & Van Buskirk, Andrew, 2009. "Earnings guidance and market uncertainty," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 90-109, October.
    7. Bernard, Victor L. & Thomas, Jacob K., 1990. "Evidence that stock prices do not fully reflect the implications of current earnings for future earnings," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 305-340, December.
    8. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    9. Larcker, David F. & Rusticus, Tjomme O., 2010. "On the use of instrumental variables in accounting research," Journal of Accounting and Economics, Elsevier, vol. 49(3), pages 186-205, April.
    10. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    11. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    12. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    13. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    14. Dechow, Patricia M. & Kothari, S. P. & L. Watts, Ross, 1998. "The relation between earnings and cash flows," Journal of Accounting and Economics, Elsevier, vol. 25(2), pages 133-168, May.
    15. Hales, Jeffrey, 2009. "Are investors really willing to agree to disagree? An experimental investigation of how disagreement and attention to disagreement affect trading behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(2), pages 230-241, March.
    16. Robert Bloomfield & Paul E. Fischer, 2011. "Disagreement and the Cost of Capital," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 41-68, March.
    17. Lev, B & Thiagarajan, Sr, 1993. "Fundamental Information Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 31(2), pages 190-215.
    18. Jon A. Garfinkel & Jonathan Sokobin, 2006. "Volume, Opinion Divergence, and Returns: A Study of Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 85-112, March.
    19. Hoskin, Re & Hughes, Js & Ricks, We, 1986. "Evidence On The Incremental Information-Content Of Additional Firm Disclosures Made Concurrently With Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 24, pages 1-32.
    20. Lipe, Rc, 1986. "The Information Contained In The Components Of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 24, pages 37-64.
    21. Arif, Salman & Marshall, Nathan T. & Schroeder, Joseph H. & Yohn, Teri Lombardi, 2019. "A growing disparity in earnings disclosure mechanisms: The rise of concurrently released earnings announcements and 10-Ks," Journal of Accounting and Economics, Elsevier, vol. 68(1).
    22. Brian J. Bushee, 2001. "Do Institutional Investors Prefer Near†Term Earnings over Long†Run Value?," Contemporary Accounting Research, John Wiley & Sons, vol. 18(2), pages 207-246, June.
    23. Varian, Hal R, 1985. "Divergence of Opinion in Complete Markets: A Note," Journal of Finance, American Finance Association, vol. 40(1), pages 309-317, March.
    24. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    25. Wayne R. Landsman & Edward L. Maydew, 2002. "Has the Information Content of Quarterly Earnings Announcements Declined in the Past Three Decades?," Journal of Accounting Research, Wiley Blackwell, vol. 40(3), pages 797-808, June.
    26. Dye, Ra & Sridhar, Ss, 1995. "Industry-Wide Disclosure Dynamics," Journal of Accounting Research, Wiley Blackwell, vol. 33(1), pages 157-174.
    27. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    28. Mark T. Bradshaw & Richard G. Sloan, 2002. "GAAP versus The Street: An Empirical Assessment of Two Alternative Definitions of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 41-66, March.
    29. Bin Miao & Siew Hong Teoh & Zinan Zhu, 2016. "Limited attention, statement of cash flow disclosure, and the valuation of accruals," Review of Accounting Studies, Springer, vol. 21(2), pages 473-515, June.
    30. Mark E. Evans, 2016. "Commitment and Cost of Equity Capital: An Examination of Timely Balance Sheet Disclosure in Earnings Announcements," Contemporary Accounting Research, John Wiley & Sons, vol. 33(3), pages 1136-1171, September.
    31. Jon A. Garfinkel, 2009. "Measuring Investors' Opinion Divergence," Journal of Accounting Research, Wiley Blackwell, vol. 47(5), pages 1317-1348, December.
    32. Ann B. Gillette & Douglas E. Stevens & Susan G. Watts & Arlington W. Williams, 1999. "Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs," Contemporary Accounting Research, John Wiley & Sons, vol. 16(3), pages 437-479, September.
    33. Boehme, Rodney D. & Danielsen, Bartley R. & Sorescu, Sorin M., 2006. "Short-Sale Constraints, Differences of Opinion, and Overvaluation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(2), pages 455-487, June.
    34. Sris Chatterjee & Kose John & An Yan, 2012. "Takeovers and Divergence of Investor Opinion," The Review of Financial Studies, Society for Financial Studies, vol. 25(1), pages 227-277.
    35. Zhang, Yuan, 2008. "Analyst responsiveness and the post-earnings-announcement drift," Journal of Accounting and Economics, Elsevier, vol. 46(1), pages 201-215, September.
    36. D. Eric Hirst & Lisa Koonce & Shankar Venkataraman, 2007. "How Disaggregation Enhances the Credibility of Management Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 45(4), pages 811-837, September.
    37. Linda Smith Bamber & Orie E. Barron & Douglas E. Stevens, 2011. "Trading Volume Around Earnings Announcements and Other Financial Reports: Theory, Research Design, Empirical Evidence, and Directions for Future Research," Contemporary Accounting Research, John Wiley & Sons, vol. 28(2), pages 431-471, June.
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