IDEAS home Printed from https://ideas.repec.org/p/cer/papers/wp498.html
   My bibliography  Save this paper

Financial Signaling and Earnings Forecasts

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.cerge-ei.cz/pdf/wp/Wp498.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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. Michael Kaestner, 2006. "Anomalous Price Behavior Following Earnings Surprises: Does Representativeness Cause Overreaction?," Finance, Presses universitaires de Grenoble, vol. 27(2), pages 5-31.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Fischer, Edwin O & Heinkel, Robert & Zechner, Josef, 1989. " Dynamic Capital Structure Choice: Theory and Tests," Journal of Finance, American Finance Association, vol. 44(1), pages 19-40, March.
    20. Narasimhan Jegadeesh & Joonghyuk Kim & Susan D. Krische & Charles M. C. Lee, 2004. "Analyzing the Analysts: When Do Recommendations Add Value?," Journal of Finance, American Finance Association, vol. 59(3), pages 1083-1124, June.
    21. 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.
    22. Nittai K. Bergman & Sugata Roychowdhury, 2008. "Investor Sentiment and Corporate Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 1057-1083, December.
    23. 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.
    24. 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.
    Full references (including those not matched with items on IDEAS)

    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. Samuel YM Ze‐To, 2022. "Fundamental index aligned and excess market return predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 592-614, April.
    3. Paul Hribar & John McInnis, 2012. "Investor Sentiment and Analysts' Earnings Forecast Errors," Management Science, INFORMS, vol. 58(2), pages 293-307, February.
    4. Da, Zhi & Warachka, Mitch, 2011. "The disparity between long-term and short-term forecasted earnings growth," Journal of Financial Economics, Elsevier, vol. 100(2), pages 424-442, May.
    5. Papapostolou, Nikos C. & Pouliasis, Panos K. & Nomikos, Nikos K. & Kyriakou, Ioannis, 2016. "Shipping investor sentiment and international stock return predictability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 81-94.
    6. Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
    7. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    8. Borgards, Oliver & Czudaj, Robert L., 2020. "The prevalence of price overreactions in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    9. , & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
    10. Engelberg, Joseph & McLean, R. David & Pontiff, Jeffrey, 2020. "Analysts and anomalies," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    11. Lee, Charles M.C. & So, Eric C., 2017. "Uncovering expected returns: Information in analyst coverage proxies," Journal of Financial Economics, Elsevier, vol. 124(2), pages 331-348.
    12. Sean Cleary & Jonathan Jona & Gladys Lee & Joshua Shemesh, 2020. "Underlying risk preferences and analyst risk‐taking behavior," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(7-8), pages 949-981, July.
    13. Pasaribu, Rowland Bismark Fernando, 2010. "Anomali Overreaction di bursa efek Indonesia: Penelitian Saham LQ-45 [Overreaction Anomaly in Indonesia Stock Exchange: Case Study of LQ-45 Stocks]," MPRA Paper 36998, University Library of Munich, Germany.
    14. Song, Ziyu & Yu, Changrui, 2022. "Investor sentiment indices based on k-step PLS algorithm: A group of powerful predictors of stock market returns," International Review of Financial Analysis, Elsevier, vol. 83(C).
    15. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    16. Michael Lacina & Byung Ro, 2013. "Market implied future earnings and analysts’ forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 295-341, August.
    17. Tobek, Ondrej & Hronec, Martin, 2021. "Does it pay to follow anomalies research? Machine learning approach with international evidence," Journal of Financial Markets, Elsevier, vol. 56(C).
    18. Padma Kadiyala, 2022. "Response of ETF flows and long-run returns to investor sentiment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 489-531, December.
    19. Khimich, Natalya, 2017. "A comparison of alternative cash flow and discount rate news proxies," Journal of Empirical Finance, Elsevier, vol. 41(C), pages 31-52.
    20. Stig V. Møller & Jesper Rangvid, 2012. "End-of-the-year economic growth and time-varying expected returns," CREATES Research Papers 2012-42, Department of Economics and Business Economics, Aarhus University.

    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

    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:cer:papers:wp498. 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: Lucie Vasiljevova (email available below). General contact details of provider: https://edirc.repec.org/data/eiacacz.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.