IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v39y2012i3p293-308.html
   My bibliography  Save this article

The impact of accruals and lines of business on analysts’ earnings forecast superiority

Author

Listed:
  • Kenneth Lorek
  • Donald Pagach

Abstract

In this paper, we examine the linkage between analyst advantage (AA) (compared to the seasonal random walk model) in the prediction of quarterly earnings-per-share (EPS) and a broad set of economic determinants. Specifically, we employ a pooled cross-sectional time-series regression model where AA is linked to a set of firm-specific economic determinants that have been employed in extant work (e.g., Brown et al. in J Account Res 22:49–67, 1987 ; Kross et al. in Account Rev 65:461–476, 1990 ). We refine this set of independent variables by including a new variable (RATIODEV) based upon Sloan (Account Rev 71(3):289–315, 1996 ) who documents that differential levels of accruals impact future earnings performance. This variable is particularly salient in explaining AA since analysts may be in a position to identify the permanent component of accruals via fundamental financial analysis. Additionally, we refine the measurement of lines of business—consistent with the reporting requirements of SFAS No. 131 relative to extant work that operationalized proxies for this variable based upon SFAS No. 14. Parameters for these aforementioned variables are significantly positively related to AA, consistent with theory. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Kenneth Lorek & Donald Pagach, 2012. "The impact of accruals and lines of business on analysts’ earnings forecast superiority," Review of Quantitative Finance and Accounting, Springer, vol. 39(3), pages 293-308, October.
    • Handle: RePEc:kap:rqfnac:v:39:y:2012:i:3:p:293-308
    DOI: 10.1007/s11156-011-0254-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11156-011-0254-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11156-011-0254-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Watts, Rl & Leftwich, Rw, 1977. "Time-Series Of Annual Accounting Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 15(2), pages 253-271.
    2. 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.
    3. Wiedman, CI, 1996. "The relevance of characteristics of the information environment in the selection of a proxy for the market's expectations for earnings: An extension of Brown, Richardson, and Schwager [1987]," Journal of Accounting Research, Wiley Blackwell, vol. 34(2), pages 313-324.
    4. Ball, Ray & Bartov, Eli, 1996. "How naive is the stock market's use of earnings information?," Journal of Accounting and Economics, Elsevier, vol. 21(3), pages 319-337, June.
    5. Brooks, LeRoy D & Buckmaster, Dale A, 1976. "Further Evidence on the Time Series Properties of Accounting Income," Journal of Finance, American Finance Association, vol. 31(5), pages 1359-1373, December.
    6. Philip G. Berger & Rebecca Hann, 2003. "The Impact of SFAS No. 131 on Information and Monitoring," Journal of Accounting Research, Wiley Blackwell, vol. 41(2), pages 163-223, May.
    7. Kenneth Lorek & G. Willinger, 2007. "The contextual nature of the predictive power of statistically-based quarterly earnings models," Review of Quantitative Finance and Accounting, Springer, vol. 28(1), pages 1-22, January.
    8. Patricia M. Dechow & Scott A. Richardson & Richard G. Sloan, 2008. "The Persistence and Pricing of the Cash Component of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 46(3), pages 537-566, June.
    9. Shores, D, 1990. "The Association Between Interim Information And Security Returns Surrounding Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 28(1), pages 164-181.
    10. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    11. Bhushan, Ravi, 1989. "Firm characteristics and analyst following," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 255-274, July.
    12. Brown, Ld & Richardson, Gd & Schwager, Sj, 1987. "An Information Interpretation Of Financial Analyst Superiority In Forecasting Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 49-67.
    13. Kenneth Lorek & G. Willinger, 2009. "New evidence pertaining to the prediction of operating cash flows," Review of Quantitative Finance and Accounting, Springer, vol. 32(1), pages 1-15, January.
    14. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    15. Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, February.
    16. Stickel, Scott E, 1992. "Reputation and Performance among Security Analysts," Journal of Finance, American Finance Association, vol. 47(5), pages 1811-1836, December.
    17. Collins, Daniel W. & Hribar, Paul, 2000. "Earnings-based and accrual-based market anomalies: one effect or two?," Journal of Accounting and Economics, Elsevier, vol. 29(1), pages 101-123, February.
    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. Pieter T. Elgers & May H. Lo & Wenjuan Xie & Le Emily Xu, 2016. "A Contextual Evaluation of Composite Forecasts of Annual Earnings," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-40, September.
    2. Christopher Edmonds & Ryan Leece & John Maher, 2013. "CEO bonus compensation: the effects of missing analysts’ revenue forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 41(1), pages 149-170, July.

    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. S. P. Kothari & Charles Wasley, 2019. "Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years," Journal of Accounting Research, Wiley Blackwell, vol. 57(5), pages 1117-1159, December.
    3. repec:grz:wpsses:2020-04 is not listed on IDEAS
    4. Higgins, Huong, 2013. "Can securities analysts forecast intangible firms’ earnings?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 155-174.
    5. Zana Grigaliuniene, 2013. "Time-Series Models Forecasting Performance In The Baltic Stock Market," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(1).
    6. Guanming He, 2021. "Credit rating, post‐earnings‐announcement drift, and arbitrage from transient institutions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(7-8), pages 1434-1467, July.
    7. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    8. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    9. Bouteska Ahmed & Regaieg Boutheina, 2017. "The accuracy of financial analysts’ earnings forecasts and the Tunisian market reliance with time," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1345186-134, January.
    10. 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.
    11. Mozes, Haim A., 2003. "Accuracy, usefulness and the evaluation of analysts' forecasts," International Journal of Forecasting, Elsevier, vol. 19(3), pages 417-434.
    12. Lubomir P. Litov & Patrick Moreton & Todd R. Zenger, 2012. "Corporate Strategy, Analyst Coverage, and the Uniqueness Paradox," Management Science, INFORMS, vol. 58(10), pages 1797-1815, October.
    13. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    14. He, Shuoyuan & Narayanamoorthy, Ganapathi (Gans), 2020. "Earnings acceleration and stock returns," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    15. Jonathan A. Milian, 2015. "Unsophisticated Arbitrageurs and Market Efficiency: Overreacting to a History of Underreaction?," Journal of Accounting Research, Wiley Blackwell, vol. 53(1), pages 175-220, March.
    16. Norio Kitagawa & Akinobu Shuto, 2015. "Credibility of management earnings forecasts and future returns," CARF F-Series CARF-F-367, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    17. Truong, Cameron, 2010. "Post earnings announcement drift and the roles of drift-enhanced factors in New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 18(2), pages 139-157, April.
    18. Oya Altınkılıç & Vadim S. Balashov & Robert S. Hansen, 2013. "Are Analysts' Forecasts Informative to the General Public?," Management Science, INFORMS, vol. 59(11), pages 2550-2565, November.
    19. Norio Kitagawa & Akinobu Shuto, 2013. "Credibility of Management Earnings Forecasts and Future Returns," Discussion Paper Series DP2013-30, Research Institute for Economics & Business Administration, Kobe University.
    20. Zhou, Haigang & Zhu, John Qi, 2019. "Firm characteristics and jump dynamics in stock prices around earnings announcements," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    21. Dang, Chongyu & Foerster, Stephen & Li, Zhichuan (Frank) & Tang, Zhenyang, 2021. "Analyst talent, information, and insider trading," Journal of Corporate Finance, Elsevier, vol. 67(C).

    More about this item

    Keywords

    Analysts’ quarterly earnings forecasts; Time-series quarterly earnings forecasts; Lines of business; Accruals; C22;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:kap:rqfnac:v:39:y:2012:i:3:p:293-308. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    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.