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Why Do EPS Forecast Error and Dispersion Not Vary with Scale? Implications for Analyst and Managerial Behavior

Citations

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Cited by:

  1. Galanti, Sébastien, 2016. "Archival data of financial analysts' earnings forecasts in the euro zone: Problems with euro conversions," Research in International Business and Finance, Elsevier, vol. 38(C), pages 466-473.
  2. Ryan T. Ball, 2011. "Discussion of Why Do EPS Forecast Error and Dispersion Not Vary with Scale? Implications for Analyst and Managerial Behavior," Journal of Accounting Research, Wiley Blackwell, vol. 49(2), pages 403-412, May.
  3. Foong Soon Cheong & Jacob Thomas, 2018. "Management of Reported and Forecast EPS, Investor Responses, and Research Implications," Management Science, INFORMS, vol. 64(9), pages 4277-4301, September.
  4. Doyle, Jeffrey T. & Jennings, Jared N. & Soliman, Mark T., 2013. "Do managers define non-GAAP earnings to meet or beat analyst forecasts?," Journal of Accounting and Economics, Elsevier, vol. 56(1), pages 40-56.
  5. Roger, Tristan & Roger, Patrick & Schatt, Alain, 2018. "Behavioral bias in number processing: Evidence from analysts’ expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 315-331.
  6. Byzalov, Dmitri & Basu, Sudipta, 2019. "Modeling the determinants of meet-or-just-beat behavior in distribution discontinuity tests," Journal of Accounting and Economics, Elsevier, vol. 68(2).
  7. So, Eric C., 2013. "A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?," Journal of Financial Economics, Elsevier, vol. 108(3), pages 615-640.
  8. Thaddeus Neururer & George Papadakis & Edward J. Riedl, 2016. "Tests of investor learning models using earnings innovations and implied volatilities," Review of Accounting Studies, Springer, vol. 21(2), pages 400-437, June.
  9. Oleg V. Petrenko & Federico Aime & Tessa Recendes & Jeffrey A. Chandler, 2019. "The case for humble expectations: CEO humility and market performance," Strategic Management Journal, Wiley Blackwell, vol. 40(12), pages 1938-1964, December.
  10. Wang, Huabing & Gao, Xiang, 2020. "Oil price dynamics and airline earnings predictability," Journal of Air Transport Management, Elsevier, vol. 87(C).
  11. Jeffery Abarbanell & Hyungshin Park, 2017. "Do Bright-Line Earnings Surprises Really Affect Stock Price Reactions?," Management Science, INFORMS, vol. 63(4), pages 1063-1084, April.
  12. Ling Cen & K. C. John Wei & Liyan Yang, 2017. "Disagreement, Underreaction, and Stock Returns," Management Science, INFORMS, vol. 63(4), pages 1214-1231, April.
  13. E. Cheynel & M. Liu-Watts, 2020. "A simple structural estimator of disclosure costs," Review of Accounting Studies, Springer, vol. 25(1), pages 201-245, March.
  14. Amy P. Hutton & Lian Fen Lee & Susan Z. Shu, 2012. "Do Managers Always Know Better? The Relative Accuracy of Management and Analyst Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 50(5), pages 1217-1244, December.
  15. Shanshan Pan & Michael Lacina & Haeyoung Shin, 2019. "Income Classification Shifting and Financial Analysts’ Forecasts," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-48, June.
  16. Sanjay W. Bissessur & David Veenman, 2016. "Analyst information precision and small earnings surprises," Review of Accounting Studies, Springer, vol. 21(4), pages 1327-1360, December.
  17. Zhi Da & Xing Huang, 2020. "Harnessing the Wisdom of Crowds," Management Science, INFORMS, vol. 66(5), pages 1847-1867, May.
  18. Ni, Juan & Jin, Shuchang & Hu, Yi & Zhang, Lei, 2023. "Informative or distracting: CSR disclosure of peer firms and analyst forecast accuracy," International Review of Financial Analysis, Elsevier, vol. 87(C).
  19. Thaddeus Neururer & George Papadakis & Edward J. Riedl, 2020. "The Effect of Reporting Streaks on Ex Ante Uncertainty," Management Science, INFORMS, vol. 66(8), pages 3771-3787, August.
  20. Yen‐Cheng Chang & Pei‐Jie Hsiao & Alexander Ljungqvist & Kevin Tseng, 2022. "Testing Disagreement Models," Journal of Finance, American Finance Association, vol. 77(4), pages 2239-2285, August.
  21. Zhi Da & Ravi Jagannathan & Jianfeng Shen, 2012. "Building Castles in the Air: Evidence from Industry IPO Waves," NBER Working Papers 18555, National Bureau of Economic Research, Inc.
  22. Vasileios Barmpoutis, 2014. "The Naive Extrapolation Hypothesis and the Rosy-Gloomy Forecasts," Papers 1406.1733, arXiv.org.
  23. Po-Hsuan Hsu & Dongmei Li & Qin Li & Siew Hong Teoh & Kevin Tseng, 2022. "Valuation of New Trademarks," Management Science, INFORMS, vol. 68(1), pages 257-279, January.
  24. William Grieser & Charles J. Hadlock & Joshua R. Pierce, 2021. "Doing good when doing well: evidence on real earnings management," Review of Accounting Studies, Springer, vol. 26(3), pages 906-932, September.
  25. Leon Li & Nen-Chen Richard Hwang & Gilbert V. Nartea, 2019. "Effects of Earnings Management Strategy on Earnings Predictability: A Quantile Regression Approach Based on Opportunistic Versus Efficient Earnings Management," Working Papers in Economics 19/09, University of Canterbury, Department of Economics and Finance.
  26. Aytekin Ertan, 2022. "Real earnings management through syndicated lending," Review of Accounting Studies, Springer, vol. 27(4), pages 1157-1198, December.
  27. Cao, June & Li, Wenwen & Bilokha, Alona, 2022. "Low-carbon city initiatives and analyst behaviour: A quasi-natural experiment," Journal of Financial Stability, Elsevier, vol. 62(C).
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