IDEAS home Printed from https://ideas.repec.org/a/eee/jaecon/v38y2004ip205-222.html
   My bibliography  Save this article

Discussion of analysts' treatment of non-recurring items in street earnings and loss function assumptions in rational expectations tests on financial analysts' earnings forecasts

Author

Listed:
  • Lambert, Richard A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Lambert, Richard A., 2004. "Discussion of analysts' treatment of non-recurring items in street earnings and loss function assumptions in rational expectations tests on financial analysts' earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 205-222, December.
    • Handle: RePEc:eee:jaecon:v:38:y:2004:i::p:205-222
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-4101(04)00083-7
    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. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
    2. Bhattacharya, Nilabhra & Black, Ervin L. & Christensen, Theodore E. & Larson, Chad R., 2003. "Assessing the relative informativeness and permanence of pro forma earnings and GAAP operating earnings," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 285-319, December.
    3. Abarbanell, Jeffery & Lehavy, Reuven, 2003. "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, Elsevier, vol. 36(1-3), pages 105-146, December.
    4. Dechow, Patricia M., 1994. "Accounting earnings and cash flows as measures of firm performance : The role of accounting accruals," Journal of Accounting and Economics, Elsevier, vol. 18(1), pages 3-42, July.
    5. Gu, Zhaoyang & Wu, Joanna Shuang, 2003. "Earnings skewness and analyst forecast bias," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 5-29, April.
    6. Philbrick, Dr & Ricks, We, 1991. "Using Value Line And Ibes Analyst Forecasts In Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 397-417.
    7. Stickel, Scott E, 1992. "Reputation and Performance among Security Analysts," Journal of Finance, American Finance Association, vol. 47(5), pages 1811-1836, December.
    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. Mark A. Clatworthy & David A. Peel & Peter F. Pope, 2012. "Are Analysts' Loss Functions Asymmetric?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(8), pages 736-756, December.
    2. Lambert, David & Matolcsy, Zoltan & Wyatt, Anne, 2015. "Analysts' earnings forecasts and technological conditions in the firm's investment environment," Journal of Contemporary Accounting and Economics, Elsevier, vol. 11(2), pages 104-120.
    3. George Christodoulakis & Konstantinos Stathopoulos & Nikolaos Tessaromatis, 2012. "The term structure of loss preferences and rationality in analyst earnings forecasts," Journal of Asset Management, Palgrave Macmillan, vol. 13(5), pages 310-326, October.
    4. Clatworthy, Mark A. & Peel, David A. & Pope, Peter F., 2007. "Evaluating the properties of analysts’ forecasts: A bootstrap approach," The British Accounting Review, Elsevier, vol. 39(1), pages 3-13.
    5. Bok Baik & David B. Farber & Kathy Petroni, 2009. "Analysts' Incentives and Street Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 47(1), pages 45-69, March.
    6. Bradshaw, Mark T. & Christensen, Theodore E. & Gee, Kurt H. & Whipple, Benjamin C., 2018. "Analysts’ GAAP earnings forecasts and their implications for accounting research," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 46-66.
    7. M A Clatworthy & D Peel & P F Pope, 2006. "Are analysts’ loss functions asymmetric?," Working Papers 574591, Lancaster University Management School, Economics Department.
    8. Konrad Lang, 2018. "Voluntary Disclosure and Analyst Forecast," European Accounting Review, Taylor & Francis Journals, vol. 27(1), pages 23-36, January.
    9. Barth, Mary E. & Gow, Ian D. & Taylor, Daniel J., 2010. "Non-GAAP and Street Earnings: Evidence from SFAS 123R," Research Papers 2064, Stanford University, Graduate School of Business.
    10. Qianyun Huang & Terrance R. Skantz, 2016. "The informativeness of pro forma and street earnings: an examination of information asymmetry around earnings announcements," Review of Accounting Studies, Springer, vol. 21(1), pages 198-250, March.

    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. Beyer, Anne & Cohen, Daniel A. & Lys, Thomas Z. & Walther, Beverly R., 2010. "The financial reporting environment: Review of the recent literature," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 296-343, December.
    2. 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.
    3. Bradshaw, Mark T., 2003. "A discussion of 'Assessing the relative informativeness and permanence of pro forma earnings and GAAP operating earnings'," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 321-335, December.
    4. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    5. Jeffery S. Abarbanell & Reuven Lehavy, 2007. "Letting the “Tail Wag the Dog†: The Debate over GAAP versus Street Earnings Revisited," Contemporary Accounting Research, John Wiley & Sons, vol. 24(3), pages 675-723, September.
    6. Gu, Zhaoyang & Xue, Jian, 2008. "The superiority and disciplining role of independent analysts," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 289-316, August.
    7. Gu, Zhaoyang & Chen, Ting, 2004. "Analysts' treatment of nonrecurring items in street earnings," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 129-170, December.
    8. Mustafa Ciftci & Raj Mashruwala & Dan Weiss, "undated". "Implications of Cost Behavior for Analysts’ Earnings Forecasts," Accounting Working Papers 17-03/2014, School of Business Administration, American University of Sharjah.
    9. Shaowen Hua, 2016. "WhatMakes Underwriting and Non-Underwriting Clients of Brokerage Firms Receive Different Recommendations? An Application of Uplift Random Forest Model," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 5(3), pages 42-56, April.
    10. François Aubert & Gary Grudnitski, 2012. "Analysts' estimates," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 11(1), pages 53-72, February.
    11. Vasiliki Athanasakou & Norman Strong & Martin Walker, 2009. "Earnings management or forecast guidance to meet analyst expectations?," Accounting and Business Research, Taylor & Francis Journals, vol. 39(1), pages 3-35.
    12. Datta, Sudip & Iskandar-Datta, Mai & Sharma, Vivek, 2011. "Product market pricing power, industry concentration and analysts' earnings forecasts," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1352-1366, June.
    13. Bradley Blaylock & Bradley P. Lawson & Michael A. Mayberry, 2020. "Taxable income, future profitability, and stock returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(7-8), pages 858-881, July.
    14. Cohen, Daniel A. & Lys, Thomas Z., 2003. "A note on analysts' earnings forecast errors distribution," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 147-164, December.
    15. Zachary Kaplan & Xiumin Martin & Yifang Xie, 2021. "Truncating Optimism," Journal of Accounting Research, Wiley Blackwell, vol. 59(5), pages 1827-1884, December.
    16. Mark A. Clatworthy & Tuan Ho & Jude Mengzhu Zhu, 2022. "Disagreement about the past: An empirical assessment of bank analysts' GAAP and non‐GAAP earnings measures," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(3-4), pages 588-624, March.
    17. 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.
    18. Sarah E. Bonner & Artur Hugon & Beverly R. Walther, 2007. "Investor Reaction to Celebrity Analysts: The Case of Earnings Forecast Revisions," Journal of Accounting Research, Wiley Blackwell, vol. 45(3), pages 481-513, June.
    19. Kumar, Alok & Rantala, Ville & Xu, Rosy, 2022. "Social learning and analyst behavior," Journal of Financial Economics, Elsevier, vol. 143(1), pages 434-461.
    20. Susan M. Albring & María T. Cabán‐García & Jacqueline L. Reck, 2010. "The value relevance of a non‐GAAP performance metric to the capital markets," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 9(3), pages 264-284, August.

    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:38:y:2004:i::p:205-222. 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.