IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v9y1993i3p337-342.html
   My bibliography  Save this article

Comments on 'earnings forecasting research: its implications for capital markets research' by L. Brown

Author

Listed:
  • Zmijewski, Mark E.

Abstract

No abstract is available for this item.

Suggested Citation

  • Zmijewski, Mark E., 1993. "Comments on 'earnings forecasting research: its implications for capital markets research' by L. Brown," International Journal of Forecasting, Elsevier, vol. 9(3), pages 337-342, November.
    • Handle: RePEc:eee:intfor:v:9:y:1993:i:3:p:337-342
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0169-2070(93)90027-K
    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.

    Citations

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


    Cited by:

    1. Joos, Peter & Piotroski, Joseph D. & Srinivasan, Suraj, 2016. "Can analysts assess fundamental risk and valuation uncertainty? An empirical analysis of scenario-based value estimates," Journal of Financial Economics, Elsevier, vol. 121(3), pages 645-663.
    2. Daphne Lui & Stanimir Markov & Ane Tamayo, 2007. "What Makes a Stock Risky? Evidence from Sell‐Side Analysts' Risk Ratings," Journal of Accounting Research, Wiley Blackwell, vol. 45(3), pages 629-665, June.
    3. Daphne Lui & Stanimir Markov & Ane Tamayo, 2012. "Equity Analysts and the Market's Assessment of Risk," Journal of Accounting Research, Wiley Blackwell, vol. 50(5), pages 1287-1317, December.
    4. Mest, David P. & Plummer, Elizabeth, 1999. "Transitory and persistent earnings components as reflected in analysts' short-term and long-term earnings forecasts: evidence from a nonlinear model," International Journal of Forecasting, Elsevier, vol. 15(3), pages 291-308, July.
    5. 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.
    6. Hess, Dieter & Orbe, Sebastian, 2011. "Irrationality or efficiency of macroeconomic survey forecasts? Implications from the anchoring bias test," CFR Working Papers 11-13, University of Cologne, Centre for Financial Research (CFR).
    7. Godwin, Joseph H. & Goldberg, Stephen R. & Douthett, Edward B., 1998. "Relevance of U.S.-GAAP for Japanese companies," The International Journal of Accounting, Elsevier, vol. 33(5), pages 589-604.

    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:intfor:v:9:y:1993:i:3:p:337-342. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/ijforecast .

    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.