IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/9544.html
   My bibliography  Save this paper

Analysts' Conflict of Interest and Biases in Earnings Forecasts

Author

Listed:
  • Louis K. C. Chan
  • Jason Karceski
  • Josef Lakonishok

Abstract

Analysts' earnings forecasts are influenced by their desire to win investment banking clients. We hypothesize that the equity bull market of the 1990s, along with the boom in investment banking business, exacerbated analysts' conflict of interest and their incentives to adjust strategically forecasts to avoid earnings disappointments. We document shifts in the distribution of earnings surprises, the market's response to surprises and forecast revisions, and in the predictability of non-negative surprises. Further confirmation is based on subsamples where conflicts of interest are more pronounced, including growth stocks and stocks with consecutive non-negative surprises; however shifts are less notable in international markets.

Suggested Citation

  • Louis K. C. Chan & Jason Karceski & Josef Lakonishok, 2003. "Analysts' Conflict of Interest and Biases in Earnings Forecasts," NBER Working Papers 9544, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:9544
    Note: AP
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w9544.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krigman, Laurie & Shaw, Wayne H. & Womack, Kent L., 2001. "Why do firms switch underwriters?," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 245-284, May.
    2. Jay R. Ritter & Ivo Welch, 2002. "A Review of IPO Activity, Pricing, and Allocations," Journal of Finance, American Finance Association, vol. 57(4), pages 1795-1828, August.
    3. Degeorge, Francois & Patel, Jayendu & Zeckhauser, Richard, 1999. "Earnings Management to Exceed Thresholds," The Journal of Business, University of Chicago Press, vol. 72(1), pages 1-33, January.
    4. La Porta, Rafael, et al, 1997. "Good News for Value Stocks: Further Evidence on Market Efficiency," Journal of Finance, American Finance Association, vol. 52(2), pages 859-874, June.
    5. Michaely, Roni & Womack, Kent L, 1999. "Conflict of Interest and the Credibility of Underwriter Analyst Recommendations," The Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 653-686.
    6. Fried, Dov & Givoly, Dan, 1982. "Financial analysts' forecasts of earnings : A better surrogate for market expectations," Journal of Accounting and Economics, Elsevier, vol. 4(2), pages 85-107, October.
    7. 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.
    8. Daniel Kahneman & Dan Lovallo, 1993. "Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking," Management Science, INFORMS, vol. 39(1), pages 17-31, January.
    9. Amitabh Dugar & Siva Nathan, 1995. "The Effect of Investment Banking Relationships on Financial Analysts' Earnings Forecasts and Investment Recommendations," Contemporary Accounting Research, John Wiley & Sons, vol. 12(1), pages 131-160, September.
    10. Bartov, Eli & Givoly, Dan & Hayn, Carla, 2002. "The rewards to meeting or beating earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 33(2), pages 173-204, June.
    11. Mola, Simona & Loughran, Tim, 2004. "Discounting and Clustering in Seasoned Equity Offering Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(1), pages 1-23, March.
    12. Busse, Jeffrey A. & Clifton Green, T., 2002. "Market efficiency in real time," Journal of Financial Economics, Elsevier, vol. 65(3), pages 415-437, September.
    13. 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.
    14. Givoly, Dan & Lakonishok, Josef, 1979. "The information content of financial analysts' forecasts of earnings: Some evidence on semi-strong inefficiency," Journal of Accounting and Economics, Elsevier, vol. 1(3), pages 165-185, December.
    15. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    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. Kross, William J. & Ro, Byung T. & Suk, Inho, 2011. "Consistency in meeting or beating earnings expectations and management earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 37-57, February.
    2. Alexander Ljungqvist & Felicia Marston & William J. Wilhelm, 2006. "Competing for Securities Underwriting Mandates: Banking Relationships and Analyst Recommendations," Journal of Finance, American Finance Association, vol. 61(1), pages 301-340, February.
    3. Dan Li & Geng Li, 2014. "Are Household Investors Noise Traders: Evidence from Belief Dispersion and Stock Trading Volume," Finance and Economics Discussion Series 2014-35, Board of Governors of the Federal Reserve System (U.S.).
    4. Malmendier, Ulrike & Shanthikumar, Devin, 2007. "Are small investors naive about incentives?," Journal of Financial Economics, Elsevier, vol. 85(2), pages 457-489, August.
    5. Kross, William J. & Ro, Byung T. & Suk, Inho, 2011. "Consistency in meeting or beating earnings expectations and management earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 37-57.
    6. Guido BOLLIGER & Manuel KAST, 2003. "Executive Compensation and Analyst Guidance: The Link between CEO Pay and Expectations Management," FAME Research Paper Series rp102, International Center for Financial Asset Management and Engineering.

    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. Mehran, Hamid & Stulz, Rene M., 2007. "The economics of conflicts of interest in financial institutions," Journal of Financial Economics, Elsevier, vol. 85(2), pages 267-296, August.
    2. 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.
    3. 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.
    4. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
    5. Mola, Simona & Guidolin, Massimo, 2009. "Affiliated mutual funds and analyst optimism," Journal of Financial Economics, Elsevier, vol. 93(1), pages 108-137, July.
    6. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    7. Yonca Ertimur & Jayanthi Sunder & Shyam V. Sunder, 2007. "Measure for Measure: The Relation between Forecast Accuracy and Recommendation Profitability of Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 45(3), pages 567-606, June.
    8. Horton, Joanne & Serafeim, George & Wu, Shan, 2017. "Career concerns of banking analysts," Journal of Accounting and Economics, Elsevier, vol. 63(2), pages 231-252.
    9. Anna M. Cianci & Satoris S. Culbertson, 2010. "The Impact of Motivational and Cognitive Factors on Optimistic Earnings Forecasts," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 11, Edward Elgar Publishing.
    10. Philip L. Baird, 2020. "Do investors recognize biases in securities analysts’ forecasts?," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 623-634, October.
    11. Azzi, Sarah & Bird, Ron, 2005. "Prophets during boom and gloom downunder," Global Finance Journal, Elsevier, vol. 15(3), pages 337-367, February.
    12. Sunil Mohanty & Edward Aw, 2006. "Rationality of analysts' earnings forecasts: evidence from dow 30 companies," Applied Financial Economics, Taylor & Francis Journals, vol. 16(12), pages 915-929.
    13. Walter Boudry & Jarl Kallberg & Crocker Liu, 2011. "Analyst Behavior and Underwriter Choice," The Journal of Real Estate Finance and Economics, Springer, vol. 43(1), pages 5-38, July.
    14. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    15. Ciccone, Stephen J., 2005. "Trends in analyst earnings forecast properties," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 1-22.
    16. Birru, Justin & Gokkaya, Sinan & Liu, Xi & Stulz, Rene M., 2019. "Are Analyst Trade Ideas Valuable?," Working Paper Series 2019-15, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    17. Marina Balboa & J. Carlos Gómez‐Sala & Germán López‐Espinosa, 2009. "The Value of Adjusting the Bias in Recommendations: International Evidence," European Financial Management, European Financial Management Association, vol. 15(1), pages 208-230, January.
    18. Imran S. Currim & Jooseop Lim & Yu Zhang, 2018. "Effect of analysts’ earnings pressure on marketing spending and stock market performance," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 431-452, May.
    19. Rees, Lynn & Sharp, Nathan Y. & Wong, Paul A., 2017. "Working on the weekend: Do analysts strategically time the release of their recommendation revisions?," Journal of Corporate Finance, Elsevier, vol. 45(C), pages 104-121.
    20. Jin Kyung Choi & Rebecca N. Hann & Musa Subasi & Yue Zheng, 2020. "An Empirical Analysis of Analysts' Capital Expenditure Forecasts: Evidence from Corporate Investment Efficiency," Contemporary Accounting Research, John Wiley & Sons, vol. 37(4), pages 2615-2648, December.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:9544. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.