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Financial Signaling and Earnings Forecasts

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  • Iuliia Brushko

Abstract

This paper examines the extent to which financial signaling affects the analysts' and managers' forecast releases. The findings give evidence of heterogeneity of analysts' forecast errors between firms with strong financial indicators (high signal group), weak financial indicators (low signal group), and those with both positive and negative signals (mixed signal group). The paper further indicates that managers' forecast releases also depend on the type of the firm and that managers may try to use the heterogeneity in analysts' treatment. The findings also suggest that the analysts sometimes fail to adjust for managers' forecast biases and that is why may be misled by managers' forecasts. This provides evidence of inaccuracy on the part of analysts and potential gaming on information disclosures between analysts and managers.

Suggested Citation

  • Iuliia Brushko, 2013. "Financial Signaling and Earnings Forecasts," CERGE-EI Working Papers wp498, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp498
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    File URL: http://www.cerge-ei.cz/pdf/wp/Wp498.pdf
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    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. Deepika Bagchee, 2009. "Investors Adjust Expectations Around Sell‐Side Analyst Revisions In Ipo Recommendations," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(1), pages 53-70, March.
    3. Frankel, Richard & Lee, Charles M. C., 1998. "Accounting valuation, market expectation, and cross-sectional stock returns," Journal of Accounting and Economics, Elsevier, vol. 25(3), pages 283-319, June.
    4. Allen M. Poteshman, 2001. "Underreaction, Overreaction, and Increasing Misreaction to Information in the Options Market," Journal of Finance, American Finance Association, vol. 56(3), pages 851-876, June.
    5. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    6. Jean-Paul Décamps & Stéphane Villeneuve, 2007. "Optimal dividend policy and growth option," Finance and Stochastics, Springer, vol. 11(1), pages 3-27, January.
    7. Graham, John R. & Harvey, Campbell R. & Rajgopal, Shiva, 2005. "The economic implications of corporate financial reporting," Journal of Accounting and Economics, Elsevier, vol. 40(1-3), pages 3-73, December.
    8. Nguyen, Pascal, 2005. "Market underreaction and predictability in the cross-section of Japanese stock returns," Journal of Multinational Financial Management, Elsevier, vol. 15(3), pages 193-210, July.
    9. repec:bla:jfinan:v:44:y:1989:i:1:p:19-40 is not listed on IDEAS
    10. 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.
    11. repec:bla:jfinan:v:59:y:2004:i:3:p:1083-1124 is not listed on IDEAS
    12. David Michayluk & Karyn L. Neuhauser, 2006. "Investor Overreaction During Market Declines: Evidence From The 1997 Asian Financial Crisis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(2), pages 217-234, June.
    13. Michael Kaestner, 2006. "Anomalous Price Behavior Following Earnings Surprises: Does Representativeness Cause Overreaction?," Finance, Presses universitaires de Grenoble, vol. 27(2), pages 5-31.
    14. Dichev, Ilia D. & Tang, Vicki Wei, 2009. "Earnings volatility and earnings predictability," Journal of Accounting and Economics, Elsevier, vol. 47(1-2), pages 160-181, March.
    15. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
    16. Epstein Larry G & Noor Jawwad & Sandroni Alvaro, 2010. "Non-Bayesian Learning," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 10(1), pages 1-20, January.
    17. Nittai K. Bergman & Sugata Roychowdhury, 2008. "Investor Sentiment and Corporate Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 1057-1083, December.
    18. Stephen J. Larson & Jeff Madura, 2003. "What Drives Stock Price Behavior Following Extreme One‐Day Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(1), pages 113-127, March.
    19. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    20. 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.
    21. Nengjiu Ju & Robert Parrino & Allen M. Poteshman & Michael S. Weisbach, 2002. "Horses and Rabbits? Optimal Dynamic Capital Structure from Shareholder and Manager Perspectives," NBER Working Papers 9327, National Bureau of Economic Research, Inc.
    22. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    23. Michael Dobler, 2008. "Credibility of managerial forecast disclosure in market and regulated settings," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 3(1), pages 83-98.
    24. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
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    More about this item

    Keywords

    analysts' underreaction; earnings per share; analysts' forecast revisions; managers' forecast practices; earnings announcements;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General

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