IDEAS home Printed from https://ideas.repec.org/a/kap/expeco/v7y2004i1p75-92.html
   My bibliography  Save this article

Inefficiency in Earnings Forecasts: Experimental Evidence of Reactions to Positive vs. Negative Information

Author

Listed:
  • Douglas Stevens
  • Arlington Williams

Abstract

Prior archival studies of analysts' forecasts have found evidence for systematic underreaction, systematic overreaction, and systematic optimism bias. Easterwood and Nutt (1999) attempt to reconcile the conflicting evidence by testing the robustness of Abarbanell and Bernard's (1992) underreaction results to the nature of the information. Consistent with systematic optimism, forecasts are found to underreact to negative earnings information but overreact to positive information. However, Easterwood and Nutt are unable to distinguish between misreaction caused by incentives unique to analysts with misreaction caused by human decision bias that may be typical of investors. We address this issue by analyzing forecast reactions to positive versus negative information in the controlled experimental setting of Gillette, Stevens, Watts, and Williams (1999). The forecast data reveal systematic underreaction to both positive and negative information, and the underreaction is generally greater for positive information than negative information. This suggests that prior empirical evidence of forecast overreaction to positive information is unlikely to be attributable to human decision bias. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Douglas Stevens & Arlington Williams, 2004. "Inefficiency in Earnings Forecasts: Experimental Evidence of Reactions to Positive vs. Negative Information," Experimental Economics, Springer;Economic Science Association, vol. 7(1), pages 75-92, February.
  • Handle: RePEc:kap:expeco:v:7:y:2004:i:1:p:75-92
    DOI: 10.1023/A:1026214106025
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1026214106025
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/A:1026214106025?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. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    2. De Bondt, Werner F M & Thaler, Richard H, 1990. "Do Security Analysts Overreact?," American Economic Review, American Economic Association, vol. 80(2), pages 52-57, May.
    3. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    4. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    5. Biggs, Stanley F., 1984. "Financial analysts' information search in the assessment of corporate earning power," Accounting, Organizations and Society, Elsevier, vol. 9(3-4), pages 313-323, October.
    6. Dwyer, Gerald P, Jr, et al, 1993. "Tests of Rational Expectations in a Stark Setting," Economic Journal, Royal Economic Society, vol. 103(418), pages 586-601, May.
    7. John Affleck†Graves & Larry R. Davis & Richard R. Mendenhall, 1990. "Forecasts of earnings per share: Possible sources of analyst superiority and bias," Contemporary Accounting Research, John Wiley & Sons, vol. 6(2), pages 501-517, March.
    8. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
    9. 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.
    10. Brown, Ld & Rozeff, Ms, 1979. "Univariate Time-Series Models Of Quarterly Accounting Earnings Per Share - Proposed Model," Journal of Accounting Research, Wiley Blackwell, vol. 17(1), pages 179-189.
    11. Ann B. Gillette & Douglas E. Stevens & Susan G. Watts & Arlington W. Williams, 1999. "Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs," Contemporary Accounting Research, John Wiley & Sons, vol. 16(3), pages 437-479, September.
    12. Ganguly, Ananda R. & Kagel, John H. & Moser, Donald V., 1994. "The effects of biases in probability judgments on market prices," Accounting, Organizations and Society, Elsevier, vol. 19(8), pages 675-700, November.
    13. John C. Easterwood & Stacey R. Nutt, 1999. "Inefficiency in Analysts' Earnings Forecasts: Systematic Misreaction or Systematic Optimism?," Journal of Finance, American Finance Association, vol. 54(5), pages 1777-1797, October.
    14. Brown, Lawrence D., 1993. "Earnings forecasting research: its implications for capital markets research," International Journal of Forecasting, Elsevier, vol. 9(3), pages 295-320, November.
    15. 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.
    16. Kang, Sh & Obrien, J & Sivaramakrishnan, K, 1994. "Analysts Interim Earnings Forecasts - Evidence On The Forecasting Process," Journal of Accounting Research, Wiley Blackwell, vol. 32(1), pages 103-112.
    17. Williams, Arlington W, 1987. "The Formation of Price Forecasts in Experimental Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 19(1), pages 1-18, February.
    18. Lys, Thomas & Sohn, Sungkyu, 1990. "The association between revisions of financial analysts' earnings forecasts and security-price changes," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 341-363, December.
    19. Camerer, Colin F, 1987. "Do Biases in Probability Judgment Matter in Markets? Experimental Evidence," American Economic Review, American Economic Association, vol. 77(5), pages 981-997, December.
    20. O'brien, Patricia C., 1988. "Analysts' forecasts as earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 10(1), pages 53-83, January.
    21. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    22. Bouwman, Marinus J. & Frishkoff, Patricia A. & Frishkoff, Paul, 1987. "How do financial analysts make decisions? A process model of the investment screening decision," Accounting, Organizations and Society, Elsevier, vol. 12(1), pages 1-29, January.
    23. McNichols, M & O'Brien, PC, 1997. "Self-selection and analyst coverage," Journal of Accounting Research, Wiley Blackwell, vol. 35, pages 167-199.
    24. Brown, Philip, 1993. "Comments on 'Earnings forecasting research: its implications for capital markets research' by L. Brown," International Journal of Forecasting, Elsevier, vol. 9(3), pages 331-335, November.
    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. Merl, Robert & Stöckl, Thomas & Palan, Stefan, 2023. "Insider trading regulation and shorting constraints. Evaluating the joint effects of two market interventions," Journal of Banking & Finance, Elsevier, vol. 154(C).
    2. Lugovskyy, Volodymyr & Puzzello, Daniela & Tucker, Steven & Williams, Arlington, 2014. "Asset-holdings caps and bubbles in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 781-797.
    3. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2015. "Multi-period experimental asset markets with distinct fundamental value regimes," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 314-334, June.
    4. Merl, Robert & Palan, Stefan & Schmidt, Dominik & Stöckl, Thomas, 2023. "Insider trading regulation and trader migration," Journal of Financial Markets, Elsevier, vol. 66(C).
    5. Ondrej Rydval, 2012. "The Causal Effect of Cognitive Abilities on Economic Behavior: Evidence from a Forecasting Task with Varying Cognitive Load," Jena Economics Research Papers 2011-064, Friedrich-Schiller-University Jena.
    6. Domonkos F. Vamossy & Rolf Skog, 2021. "EmTract: Extracting Emotions from Social Media," Papers 2112.03868, arXiv.org, revised Jun 2023.
    7. Gunduz Caginalp & David Porter & Li Hao, 2011. "Asset Market Reactions to News: An Experimental Study," Working Papers 11-15, Chapman University, Economic Science Institute.
    8. Selima Mansour & Elyès Jouini & Clotilde Napp, 2006. "Is There a “Pessimisticâ€\x9D Bias in Individual Beliefs? Evidence from a Simple Survey," Theory and Decision, Springer, vol. 61(4), pages 345-362, December.
    9. Owen Powell & Natalia Shestakova, 2017. "Experimental asset markets: behavior and bubbles," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 21, pages 375-391, Edward Elgar Publishing.
    10. repec:grz:wpsses:2021-03 is not listed on IDEAS
    11. Vandenbruaene, Jonas & De Ceuster, Marc & Annaert, Jan, 2023. "Does time series momentum also exist outside traditional financial markets? Near-laboratory evidence from sports betting," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    12. Lionel Page & Christoph Siemroth, 2021. "How Much Information Is Incorporated into Financial Asset Prices? Experimental Evidence," Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4412-4449.
    13. Domonkos F. Vamossy, 2024. "Social Media Emotions and Market Behavior," Papers 2404.03792, arXiv.org.

    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. 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. Brown, Philip & Clarke, Alex & How, Janice C. Y. & Lim, Kadir J. P., 2002. "Analysts' dividend forecasts," Pacific-Basin Finance Journal, Elsevier, vol. 10(4), pages 371-391, September.
    4. 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.
    5. Michael Calegari & Neil L. Fargher, 1997. "Evidence that Prices Do Not Fully Reflect the Implications of Current Earnings for Future Earnings: An Experimental Markets Approach," Contemporary Accounting Research, John Wiley & Sons, vol. 14(3), pages 397-433, September.
    6. Charles G. Ham & Zachary R. Kaplan & Zawadi R. Lemayian, 2022. "Rationalizing forecast inefficiency," Review of Accounting Studies, Springer, vol. 27(1), pages 313-343, March.
    7. Po‐Chang Chen & Ganapathi S. Narayanamoorthy & Theodore Sougiannis & Hui Zhou, 2020. "Analyst underreaction and the post‐forecast revision drift," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(9-10), pages 1151-1181, October.
    8. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    9. 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.
    10. Ciccone, Stephen J., 2005. "Trends in analyst earnings forecast properties," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 1-22.
    11. Robert G. Biscontri, 2012. "A Radial Basis Function Approach To Earnings Forecast," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 1-18, January.
    12. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    13. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    14. Friesen, Geoffrey & Weller, Paul A., 2006. "Quantifying cognitive biases in analyst earnings forecasts," Journal of Financial Markets, Elsevier, vol. 9(4), pages 333-365, November.
    15. Evan W. Anderson & Eric Ghysels & Jennifer L. Juergens, 2005. "Do Heterogeneous Beliefs Matter for Asset Pricing?," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 875-924.
    16. Hou, Kewei & van Dijk, Mathijs A. & Zhang, Yinglei, 2012. "The implied cost of capital: A new approach," Journal of Accounting and Economics, Elsevier, vol. 53(3), pages 504-526.
    17. Huang, Lixin & Li, Wei & Wang, Hong & Wu, Liansheng, 2022. "Stock dividend and analyst optimistic bias in earnings forecast," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 643-659.
    18. X. Frank Zhang, 2006. "Information Uncertainty and Analyst Forecast Behavior," Contemporary Accounting Research, John Wiley & Sons, vol. 23(2), pages 565-590, June.
    19. Lawrence D. Brown & Andrew C. Call & Michael B. Clement & Nathan Y. Sharp, 2015. "Inside the “Black Box” of Sell‐Side Financial Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 53(1), pages 1-47, March.
    20. 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.

    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:expeco:v:7:y:2004:i:1:p:75-92. 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://www.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.