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Investor attention to salient features of analyst forecasts

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  • Athanasakou, Vasiliki E.
  • Simpson, Ana

Abstract

Prior research suggests that, when making economic decisions, investors focus on subsets of more salient information. We extend this research by examining variation in investor response to a salient feature in analyst forecasts. We focus on the roundness of analyst forecasts as a salient signal of imprecision. We examine whether: 1) investors notice rounding even though it is binary and has potentially limited information content, 2) investor reaction to rounding is affected by its repetition, and 3) investor reaction to rounding varies by investor type. We document a weaker market reaction to rounded compared to non-rounded forecasts, consistent with investors using rounding as an indicator of less precise forecasts. Investor response to rounding is more pronounced in the presence of multiple rounded forecasts, simultaneously disclosed in analyst reports, and is primarily attributed to less sophisticated investors. We also provide evidence on investors’ delayed assimilation of the information content in rounded forecasts subsequent to the forecast announcement date. Our results shed light on the scope of limited investor attention.

Suggested Citation

  • Athanasakou, Vasiliki E. & Simpson, Ana, 2016. "Investor attention to salient features of analyst forecasts," LSE Research Online Documents on Economics 65745, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:65745
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    File URL: http://eprints.lse.ac.uk/65745/
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    1. Praveen Sinha & Lawrence D. Brown & Somnath Das, 1997. "A Re†Examination of Financial Analysts' Differential Earnings Forecast Accuracy," Contemporary Accounting Research, John Wiley & Sons, vol. 14(1), pages 1-42, March.
    2. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    3. Gaspar, Jose-Miguel & Massa, Massimo & Matos, Pedro, 2005. "Shareholder investment horizons and the market for corporate control," Journal of Financial Economics, Elsevier, vol. 76(1), pages 135-165, April.
    4. Abarbanell, Jeffery S., 1991. "Do analysts' earnings forecasts incorporate information in prior stock price changes?," Journal of Accounting and Economics, Elsevier, vol. 14(2), pages 147-165, June.
    5. Stefano Dellavigna & Joshua M. Pollet, 2013. "Capital Budgeting versus Market Timing: An Evaluation Using Demographics," Journal of Finance, American Finance Association, vol. 68(1), pages 237-270, February.
    6. Siew Hong Teoh & T. J. Wong, 2002. "Why New Issues and High-Accrual Firms Underperform: The Role of Analysts' Credulity," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 869-900.
    7. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    8. Asquith, Paul & Mikhail, Michael B. & Au, Andrea S., 2005. "Information content of equity analyst reports," Journal of Financial Economics, Elsevier, vol. 75(2), pages 245-282, February.
    9. Mikhail, MB & Walther, BR & Willis, RH, 1997. "Do security analysts improve their performance with experience?," Journal of Accounting Research, Wiley Blackwell, vol. 35, pages 131-157.
    10. Hirst, DE & Hopkins, PE, 1998. "Comprehensive income reporting and analysts' valuation judgments," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 47-75.
    11. Kravet, Todd D., 2014. "Accounting conservatism and managerial risk-taking: Corporate acquisitions," Journal of Accounting and Economics, Elsevier, vol. 57(2), pages 218-240.
    12. Nattavudh Powdthavee & Yohanes E. Riyanto, 2015. "Would you Pay for Transparently Useless Advice? A Test of Boundaries of Beliefs in The Folly of Predictions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 257-272, May.
    13. 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.
    14. Emery, Douglas R. & Li, Xi, 2009. "Are the Wall Street Analyst Rankings Popularity Contests?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(2), pages 411-437, April.
    15. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    16. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
    17. Blau, Benjamin M. & DeLisle, Jared R. & Price, S. McKay, 2015. "Do sophisticated investors interpret earnings conference call tone differently than investors at large? Evidence from short sales," Journal of Corporate Finance, Elsevier, vol. 31(C), pages 203-219.
    18. Battalio, Robert H. & Mendenhall, Richard R., 2005. "Earnings expectations, investor trade size, and anomalous returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 77(2), pages 289-319, August.
    19. Abarbanell, Jeffery S. & Lanen, William N. & Verrecchia, Robert E., 1995. "Analysts' forecasts as proxies for investor beliefs in empirical research," Journal of Accounting and Economics, Elsevier, vol. 20(1), pages 31-60, July.
    20. Gilles Hilary & Charles Hsu, 2013. "Analyst Forecast Consistency," Journal of Finance, American Finance Association, vol. 68(1), pages 271-297, February.
    21. Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
    22. Brown, Lawrence D., 1991. "Forecast selection when all forecasts are not equally recent," International Journal of Forecasting, Elsevier, vol. 7(3), pages 349-356, November.
    23. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    24. Imhoff, Ea & Lobo, Gj, 1984. "Information-Content Of Analysts Composite Forecast Revisions," Journal of Accounting Research, Wiley Blackwell, vol. 22(2), pages 541-554.
    25. Michael J. Cooper & Orlin Dimitrov & P. Raghavendra Rau, 2001. "A Rose.com by Any Other Name," Journal of Finance, American Finance Association, vol. 56(6), pages 2371-2388, December.
    26. Palomino, Frederic & Renneboog, Luc & Zhang, Chendi, 2009. "Information salience, investor sentiment, and stock returns: The case of British soccer betting," Journal of Corporate Finance, Elsevier, vol. 15(3), pages 368-387, June.
    27. Allee, Kristian D. & Bhattacharya, Nilabhra & Black, Ervin L. & Christensen, Theodore E., 2007. "Pro forma disclosure and investor sophistication: External validation of experimental evidence using archival data," Accounting, Organizations and Society, Elsevier, vol. 32(3), pages 201-222, April.
    28. 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.
    29. 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.
    30. 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.
    31. Loffler, Gunter, 1998. "Biases in analyst forecasts: cognitive, strategic or second-best?," International Journal of Forecasting, Elsevier, vol. 14(2), pages 261-275, June.
    32. Elgers, Pt & Lo, Mh, 1994. "Reductions In Analysts Annual Earnings Forecast Errors Using Information In Prior Earnings And Security Returns," Journal of Accounting Research, Wiley Blackwell, vol. 32(2), pages 290-303.
    33. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2004. "Do security analysts exhibit persistent differences in stock picking ability?," Journal of Financial Economics, Elsevier, vol. 74(1), pages 67-91, October.
    34. Jacob, John & Lys, Thomas Z. & Neale, Margaret A., 1999. "Expertise in forecasting performance of security analysts," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 51-82, November.
    35. 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.
    36. Gur Huberman & Tomer Regev, 2001. "Contagious Speculation and a Cure for Cancer: A Nonevent that Made Stock Prices Soar," Journal of Finance, American Finance Association, vol. 56(1), pages 387-396, February.
    37. Hopkins, PE, 1996. "The effect of financial statement classification of hybrid financial instruments on financial analysts' stock price judgments," Journal of Accounting Research, Wiley Blackwell, vol. 34, pages 33-50.
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    More about this item

    Keywords

    limited investor attention; rounding; investor sophistication; repetition;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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