IDEAS home Printed from https://ideas.repec.org/a/eee/jaecon/v45y2008i1p78-93.html
   My bibliography  Save this article

The timing of industry and firm earnings information in security prices: A re-evaluation

Author

Listed:
  • Elgers, Pieter T.
  • Porter, Susan L.
  • Emily Xu, Le

Abstract

This paper re-evaluates evidence in Ayers and Freeman [Ayers, F., Freeman, R., 1997. Market assessment of industry and firm earnings information. Journal of Accounting and Economics 24, 205-218] suggesting that investors anticipate industry-wide components of earnings earlier than firm-specific components, and that post-earnings-announcement drift following annual earnings announcements is due primarily to firm-specific components of earnings. Our tests indicate that post-announcement drift is entirely attributable to coefficient bias due to measurement errors in the use of realized earnings changes as proxies for unexpected earnings. Also, coefficient differences in the market's anticipation of subsequent-year industry and firm-specific earnings become insignificant when we introduce suitable controls for non-linearity in the return/earnings relation.

Suggested Citation

  • Elgers, Pieter T. & Porter, Susan L. & Emily Xu, Le, 2008. "The timing of industry and firm earnings information in security prices: A re-evaluation," Journal of Accounting and Economics, Elsevier, vol. 45(1), pages 78-93, March.
  • Handle: RePEc:eee:jaecon:v:45:y:2008:i:1:p:78-93
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-4101(07)00061-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ali, A & Zarowin, P, 1992. "The Role Of Earnings Levels In Annual Earnings Returns Studies," Journal of Accounting Research, Wiley Blackwell, vol. 30(2), pages 286-296.
    2. Frederic S. Mishkin, 1983. "A Rational Expectations Approach to Macroeconometrics: Testing Policy Ineffectiveness and Efficient-Markets Models," NBER Books, National Bureau of Economic Research, Inc, number mish83-1, March.
    3. Fama, Eugene F & French, Kenneth R, 2000. "Forecasting Profitability and Earnings," The Journal of Business, University of Chicago Press, vol. 73(2), pages 161-175, April.
    4. Bernard, Vl, 1987. "Cross-Sectional Dependence And Problems In Inference In Market-Based Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 1-48.
    5. Ayers, Benjamin & Freeman, Robert N., 1997. "Market assessment of industry and firm earnings information," Journal of Accounting and Economics, Elsevier, vol. 24(2), pages 205-218, December.
    6. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    7. Freeman, Rn & Tse, Sy, 1992. "A Nonlinear Model Of Security Price Responses To Unexpected Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 30(2), pages 185-209.
    8. Easton, Pd & Harris, Ts, 1991. "Earnings As An Explanatory Variable For Returns," Journal of Accounting Research, Wiley Blackwell, vol. 29(1), pages 19-36.
    9. 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.
    10. Abarbanell, Jeffrey S & Bernard, Victor L, 1992. "Tests of Analysts' Overreaction/Underreaction to Earnings Information as an Explanation for Anomalous Stock Price Behavior," Journal of Finance, American Finance Association, vol. 47(3), pages 1181-1207, July.
    11. Frederic S. Mishkin, 1983. "Introduction to "A Rational Expectations Approach to Macroeconometrics: Testing Policy Ineffectiveness and Efficient-Markets Models"," NBER Chapters, in: A Rational Expectations Approach to Macroeconometrics: Testing Policy Ineffectiveness and Efficient-Markets Models, pages 1-6, National Bureau of Economic Research, Inc.
    12. Elgers, Pt & Lo, Mh, 1994. "Reductions In Analysts Annual Earnings Forecast Errors Using Information In Prior Earnings And Security Returns," Journal of Accounting Research, Wiley Blackwell, vol. 32(2), pages 290-303.
    13. Sanjeev Bhojraj & Charles M. C. Lee & Derek K. Oler, 2003. "What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 745-774, December.
    14. Collins, Daniel W. & Kothari, S. P. & Shanken, Jay & Sloan, Richard G., 1994. "Lack of timeliness and noise as explanations for the low contemporaneuos return-earnings association," Journal of Accounting and Economics, Elsevier, vol. 18(3), pages 289-324, November.
    15. Benjamin C. Ayers & Robert N. Freeman, 2000. "Why Do Large Firms' Prices Anticipate Earnings Earlier than Small Firms' Prices?," Contemporary Accounting Research, John Wiley & Sons, vol. 17(2), pages 191-212, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chung, Dennis Y. & Hrazdil, Karel & Trottier, Kim, 2015. "On the efficiency of intra-industry information transfers: The dilution of the overreaction anomaly," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 153-167.
    2. Hamberg, Mattias & Beisland, Leif-Atle, 2014. "Changes in the value relevance of goodwill accounting following the adoption of IFRS 3," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 23(2), pages 59-73.
    3. Baker, H. Kent & Ni, Yang & Saadi, Samir & Zhu, Hui, 2019. "Competitive earnings news and post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 331-343.
    4. Hui, Kai Wai & Nelson, Karen K. & Yeung, P. Eric, 2016. "On the persistence and pricing of industry-wide and firm-specific earnings, cash flows, and accruals," Journal of Accounting and Economics, Elsevier, vol. 61(1), pages 185-202.
    5. Kai Wai Hui & P. Eric Yeung, 2013. "Underreaction to Industry‐Wide Earnings and the Post‐Forecast Revision Drift," Journal of Accounting Research, Wiley Blackwell, vol. 51(4), pages 701-737, September.
    6. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    2. Ole‐Kristian Hope & Tony Kang & Wayne B. Thomas & Florin Vasvari, 2008. "Pricing and Mispricing Effects of SFAS 131," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3‐4), pages 281-306, April.
    3. Wu, Xuan & Tian, Gaoliang & Li, Yueting & Zhou, Qing, 2019. "On the pricing of the persistence of earnings components in China," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 112-132.
    4. Hui, Kai Wai & Nelson, Karen K. & Yeung, P. Eric, 2016. "On the persistence and pricing of industry-wide and firm-specific earnings, cash flows, and accruals," Journal of Accounting and Economics, Elsevier, vol. 61(1), pages 185-202.
    5. Ayers, Benjamin & Freeman, Robert N., 1997. "Market assessment of industry and firm earnings information," Journal of Accounting and Economics, Elsevier, vol. 24(2), pages 205-218, December.
    6. Easterday, Kathryn E. & Sen, Pradyot K., 2016. "Is the January effect rational? Insights from the accounting valuation model," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 168-185.
    7. Konchitchki, Yaniv, 2011. "Inflation and Nominal Financial Reporting: Implications for Performance and Stock Prices," MPRA Paper 52928, University Library of Munich, Germany.
    8. Pingui Rao & Heng Yue & Xin Zhou, 2018. "Return predictability and the real option value of segments," Review of Accounting Studies, Springer, vol. 23(1), pages 167-199, March.
    9. Jeffrey T. Doyle & Russell J. Lundholm & Mark T. Soliman, 2006. "The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 849-887, December.
    10. Patricia M. Fairfield & Sundaresh Ramnath & Teri Lombardi Yohn, 2009. "Do Industry‐Level Analyses Improve Forecasts of Financial Performance?," Journal of Accounting Research, Wiley Blackwell, vol. 47(1), pages 147-178, March.
    11. Kothari, S. P. & Zimmerman, Jerold L., 1995. "Price and return models," Journal of Accounting and Economics, Elsevier, vol. 20(2), pages 155-192, September.
    12. Leonard C. Soffer & Thomas Lys, 1999. "Post†Earnings Announcement Drift and the Dissemination of Predictable Information," Contemporary Accounting Research, John Wiley & Sons, vol. 16(2), pages 305-331, June.
    13. Abdalla, Ahmed & Carabias, Jose M., 2022. "From accounting to economics: the role of aggregate special items in gauging the state of the economy," LSE Research Online Documents on Economics 108540, London School of Economics and Political Science, LSE Library.
    14. Basu, Sudipta & Markov, Stanimir, 2004. "Loss function assumptions in rational expectations tests on financial analysts' earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 171-203, December.
    15. Chen, Peter & Zhang, Guochang, 2007. "How do accounting variables explain stock price movements? Theory and evidence," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 219-244, July.
    16. Peter Hecht & Tuomo Vuolteenaho, 2005. "Explaining Returns with Cash-Flow Proxies," NBER Working Papers 11169, National Bureau of Economic Research, Inc.
    17. Po-Hsuan Hsu & Dongmei Li & Qin Li & Siew Hong Teoh & Kevin Tseng, 2022. "Valuation of New Trademarks," Management Science, INFORMS, vol. 68(1), pages 257-279, January.
    18. Tuomo Vuolteenaho, 2002. "What Drives Firm‐Level Stock Returns?," Journal of Finance, American Finance Association, vol. 57(1), pages 233-264, February.
    19. Hanlon, Michelle & Laplante, Stacie Kelley & Shevlin, Terry, 2005. "Evidence for the Possible Information Loss of Conforming Book Income and Taxable Income," Journal of Law and Economics, University of Chicago Press, vol. 48(2), pages 407-442, October.
    20. James Linck & Thomas Lopez & Lynn Rees, 2007. "The valuation consequences of voluntary accounting changes," Review of Quantitative Finance and Accounting, Springer, vol. 28(4), pages 327-352, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaecon:v:45:y:2008:i:1:p:78-93. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jae .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.