IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v46y2011i03p757-784_00.html
   My bibliography  Save this article

Analysts’ Incentives to Produce Industry-Level versus Firm-Specific Information

Author

Listed:
  • Liu, Mark H.

Abstract

Using stock returns around recommendation changes to measure the information produced by analysts, I find that analysts produce more firm-specific than industry-level information. Analysts produce more firm-specific information on stocks with higher idiosyncratic return volatilities. The amount of industry information produced by analysts increases with the absolute value of the stock’s industry beta and decreases with the stock’s idiosyncratic volatility. Other stocks in the industry also respond to the recommendation change, and the magnitude of the response increases with the absolute value of the industry beta of the recommended stock and that of other stocks in the industry. I also offer results on how investors may use analyst research more effectively and potentially improve their investment performance.

Suggested Citation

  • Liu, Mark H., 2011. "Analysts’ Incentives to Produce Industry-Level versus Firm-Specific Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(03), pages 757-784, June.
  • Handle: RePEc:cup:jfinqa:v:46:y:2011:i:03:p:757-784_00
    as

    Download full text from publisher

    File URL: http://journals.cambridge.org/abstract_S0022109011000056
    File Function: link to article abstract page
    Download Restriction: no

    Citations

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


    Cited by:

    1. Joel M. David & Ina Simonovska, 2016. "Correlated Beliefs, Returns, and Stock Market Volatility," NBER Chapters,in: NBER International Seminar on Macroeconomics 2015 National Bureau of Economic Research, Inc.
    2. Anolli, Mario & Beccalli, Elena & Molyneux, Philip, 2014. "Bank earnings forecasts, risk and the crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 309-335.
    3. Xu, Nianhang & Chan, Kam C. & Jiang, Xuanyu & Yi, Zhihong, 2013. "Do star analysts know more firm-specific information? Evidence from China," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 89-102.
    4. Volkan Muslu & Michael Rebello & Yexiao Xu, 2014. "Sell-Side Analyst Research and Stock Comovement," Journal of Accounting Research, Wiley Blackwell, vol. 52(4), pages 911-954, September.

    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:cup:jfinqa:v:46:y:2011:i:03:p:757-784_00. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Keith Waters). General contact details of provider: http://journals.cambridge.org/jid_JFQ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.