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Investor learning about analyst predictive ability

Citations

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Cited by:

  1. Chih-Hsiang Chang & Shan-Shan Chen & Song-Lin Hsieh, 2017. "Asymmetric Reinforcement Learning and Conditioned Responses During the 2007–2009 Global Financial Crisis: Evidence from Taiwan," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-44, June.
  2. Kai Du & Steven Huddart, 2020. "Economic persistence, earnings informativeness, and stock return regularities," Review of Accounting Studies, Springer, vol. 25(4), pages 1263-1300, December.
  3. Minkwan Ahn & Michael Drake & Hangsoo Kyung & Han Stice, 2019. "The role of the business press in the pricing of analysts’ recommendation revisions," Review of Accounting Studies, Springer, vol. 24(1), pages 341-392, March.
  4. Linlin Ye, 2016. "Understanding the Impacts of Dark Pools on Price Discovery," Papers 1612.08486, arXiv.org.
  5. Ye, Linlin, 2024. "Understanding the impacts of dark pools on price discovery," Journal of Financial Markets, Elsevier, vol. 68(C).
  6. K. Hung Chan & Ray R. Wang & Ruixin Wang, 2021. "The Macbeth Factor: The Dark Side of Achievement‐driving Analysts," Abacus, Accounting Foundation, University of Sydney, vol. 57(2), pages 325-361, June.
  7. Jin, Dawei & Wang, Haizhi & Wang, Peng & Yin, Desheng, 2016. "Social trust and foreign ownership: Evidence from qualified foreign institutional investors in China," Journal of Financial Stability, Elsevier, vol. 23(C), pages 1-14.
  8. Chune Young Chung & Euisup Lee & Chang-Gyun Park, 2020. "Do Ownership Ties Increase the Optimistic Bias of Analysts’ Earnings Estimates? Evidence from Corporate Financing in the Korean Market," Sustainability, MDPI, vol. 12(11), pages 1-20, June.
  9. Stanimir Markov & Ane Tamayo, 2006. "Predictability in Financial Analyst Forecast Errors: Learning or Irrationality?," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 44(4), pages 725-761, September.
  10. Ryan G. Chacon & Dan W. French & Kuntara Pukthuanthong, 2021. "The Information Content of NAV Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 598-629, November.
  11. Yucheng Liang, 2025. "Learning from Unknown Information Sources," Management Science, INFORMS, vol. 71(5), pages 3873-3890, May.
  12. 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.
  13. Marco Aiolfi & Marius Rodriguez & Allan Timmermann, 2010. "Understanding Analysts' Earnings Expectations: Biases, Nonlinearities, and Predictability," Journal of Financial Econometrics, Oxford University Press, vol. 8(3), pages 305-334, Summer.
  14. Wu, Manhua & Tian, Xiujuan & Ma, Lin & Peng, Nianjiao, 2024. "Role transition, investment practice and risk Management of Peer-to-peer Lending Investors: Based on the perspective of investor learning," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
  15. Yonca Ertimur & William J. Mayew & Stephen R. Stubben, 2011. "Analyst reputation and the issuance of disaggregated earnings forecasts to I/B/E/S," Review of Accounting Studies, Springer, vol. 16(1), pages 29-58, March.
  16. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
  17. Lim, Youngdeok & Kim, Hyungtae, 2019. "Market reaction to optimistic bias in the recommendations of chaebol-affiliated analysts," Journal of Contemporary Accounting and Economics, Elsevier, vol. 15(2), pages 224-242.
  18. Bosquet, K. & de Goeij, P. C. & Smedts, K., 2009. "Coexistence and Dynamics of Overconfidence and Strategic Incentives," Other publications TiSEM 53ae604c-8815-418c-8101-6, Tilburg University, School of Economics and Management.
  19. Amberger, Harald & Stocken, Phillip C., 2025. "Management reputation for credible financial reporting," arqus Discussion Papers in Quantitative Tax Research 301, arqus - Arbeitskreis Quantitative Steuerlehre.
  20. Yuan Chen & Ji Feng & Xun Li & Shijie Yu, 2025. "Do P2P borrowers improve the quality of information disclosure? An analysis with text mining on loan descriptions," International Studies of Economics, John Wiley & Sons, vol. 20(1), pages 23-42, March.
  21. Bosquet, K. & de Goeij, P. C. & Smedts, K., 2009. "Coexistence and Dynamics of Overconfidence and Strategic Incentives," Discussion Paper 2009-81, Tilburg University, Center for Economic Research.
  22. Hugon, Artur & Muslu, Volkan, 2010. "Market demand for conservative analysts," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 42-57, May.
  23. Russell Lundholm & Rafael Rogo, 2020. "Do excessively volatile forecasts impact investors?," Review of Accounting Studies, Springer, vol. 25(2), pages 636-671, June.
  24. Lian Fen Lee & Alvis K. Lo, 2016. "Do Opinions on Financial Misstatement Firms Affect Analysts’ Reputation with Investors? Evidence from Reputational Spillovers," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 54(4), pages 1111-1148, September.
  25. Roni Michaely & Amir Rubin & Dan Segal & Alexander Vedrashko, 2024. "Do Differences in Analyst Quality Matter for Investors Relying on Consensus Information?," Management Science, INFORMS, vol. 70(2), pages 751-772, February.
  26. Jung Min Kim & Daniel J. Taylor & Robert E. Verrecchia, 2021. "Voluntary disclosure when private information and disclosure costs are jointly determined," Review of Accounting Studies, Springer, vol. 26(3), pages 971-1001, September.
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