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The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises

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Cited by:

  1. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
  2. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  3. Allison Koester & Russell Lundholm & Mark Soliman, 2016. "Attracting Attention in a Limited Attention World: Exploring the Causes and Consequences of Extreme Positive Earnings Surprises," Management Science, INFORMS, vol. 62(10), pages 2871-2896, October.
  4. Chudek, Mark & Truong, Cameron & Veeraraghavan, Madhu, 2011. "Is trading on earnings surprises a profitable strategy? Canadian evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 832-850.
  5. 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.
  6. Claire Y. C. Liang & Rengong Zhang, 2020. "Post-earnings announcement drift and parameter uncertainty: evidence from industry and market news," Review of Quantitative Finance and Accounting, Springer, vol. 55(2), pages 695-738, August.
  7. Truong, Cameron, 2011. "Post-earnings announcement abnormal return in the Chinese equity market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 637-661.
  8. Neszveda, Gábor & Csillag, Balázs, 2022. "Gyorsjelentés - lassú árfolyam? A gyorsjelentés utáni árfolyamsodródás vizsgálata a magyar részvénypiacon [Post-earnings announcement drift on the Hungarian stock market]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 801-824.
  9. Khrystyna Bochkay & Stan Markov & Musa Subasi & Eric Weisbrod, 2022. "The Roles of Data Providers and Analysts in the Production, Dissemination, and Pricing of Street Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 60(5), pages 1695-1740, December.
  10. Pavlopoulos, Athanasios & Magnis, Chris & Iatridis, George Emmanuel, 2019. "Integrated reporting: An accounting disclosure tool for high quality financial reporting," Research in International Business and Finance, Elsevier, vol. 49(C), pages 13-40.
  11. Zhang, Yiyang & Perols, Johan & Robinson, Dahlia & Smith, Thomas, 2018. "Earnings management strategies to maintain a string of meeting or beating analyst expectations," Advances in accounting, Elsevier, vol. 43(C), pages 46-55.
  12. Jacob Thomas & Frank Zhang, 2007. "Tax Expense Surprises and Future Returns," Yale School of Management Working Papers amz2531, Yale School of Management, revised 01 Feb 2008.
  13. Pelster, Matthias & Val, Joel, 2024. "Can ChatGPT assist in picking stocks?," Finance Research Letters, Elsevier, vol. 59(C).
  14. Rui Lu & Wenxuan Hou & Henry Oppenheimer & Ting Zhang, 2018. "The Integrity of Financial Analysts: Evidence from Asymmetric Responses to Earnings Surprises," Journal of Business Ethics, Springer, vol. 151(3), pages 761-783, September.
  15. Philipp K. Illeditsch & Jayant V. Ganguli & Scott Condie, 2021. "Information Inertia," Journal of Finance, American Finance Association, vol. 76(1), pages 443-479, February.
  16. Chi, Jianxin Daniel & Gupta, Manu & Johnson, Shane A., 2020. "Short-horizon incentives and stock price inflation," Journal of Corporate Finance, Elsevier, vol. 65(C).
  17. Krauss, Christopher & Beerstecher, Daniel & Krüger, Tom, 2015. "Feasible earnings momentum in the U.S. stock market: An investor's perspective," FAU Discussion Papers in Economics 12/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  18. Jared Jennings & Hojun Seo & Mark T. Soliman, 2020. "The market’s reaction to changes in relative performance rankings," Review of Accounting Studies, Springer, vol. 25(2), pages 672-725, June.
  19. Truong, Cameron, 2010. "Post earnings announcement drift and the roles of drift-enhanced factors in New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 18(2), pages 139-157, April.
  20. Marek Sojka, 2021. "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 143-166.
  21. Tianxiang Liu, 2018. "Long-Term Event Study on Earnings Surprises and Practical Portfolio Construction," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 8(6), pages 775-789, June.
  22. Even-Tov, Omri, 2017. "When does the bond price reaction to earnings announcements predict future stock returns?," Journal of Accounting and Economics, Elsevier, vol. 64(1), pages 167-182.
  23. repec:grz:wpsses:2021-01 is not listed on IDEAS
  24. Jacob Thomas & Frank X. Zhang, 2011. "Tax Expense Momentum," Journal of Accounting Research, Wiley Blackwell, vol. 49(3), pages 791-821, June.
  25. Akey, Pat & Grégoire, Vincent & Martineau, Charles, 2022. "Price revelation from insider trading: Evidence from hacked earnings news," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1162-1184.
  26. repec:grz:wpsses:2020-04 is not listed on IDEAS
  27. Li, Yuanhui & Li, Xiao & Xiang, Erwei & Geri Djajadikerta, Hadrian, 2020. "Financial distress, internal control, and earnings management: Evidence from China," Journal of Contemporary Accounting and Economics, Elsevier, vol. 16(3).
  28. Alissa, Walid & Bonsall, Samuel B. & Koharki, Kevin & Penn, Michael W., 2013. "Firms' use of accounting discretion to influence their credit ratings," Journal of Accounting and Economics, Elsevier, vol. 55(2), pages 129-147.
  29. Nawaf Almaskati & Ron Bird & Yue Lu & Danny Leung, 2019. "Corporate Governance, Information Uncertainty and Market Reaction to Information Signals," Working Papers in Economics 19/15, University of Waikato.
  30. Asad Kausar, 2018. "Post-Earnings-Announcement Drift and the Return Predictability of Earnings Levels: One Effect or Two?," Management Science, INFORMS, vol. 64(10), pages 4877-4892, October.
  31. Baker, H. Kent & Ni, Yang & Saadi, Samir & Zhu, Hui, 2019. "Competitive earnings news and post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 331-343.
  32. Mazouz, Khelifa & Wu, Yuliang, 2022. "Why do firm fundamentals predict returns? Evidence from short selling activity," International Review of Financial Analysis, Elsevier, vol. 79(C).
  33. Schnaubelt, Matthias & Seifert, Oleg, 2020. "Valuation ratios, surprises, uncertainty or sentiment: How does financial machine learning predict returns from earnings announcements?," FAU Discussion Papers in Economics 04/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  34. Jacob Thomas & Frank Zhang, 2007. "Tax Expense Surprises and Future Returns," Yale School of Management Working Papers amz2531, Yale School of Management, revised 01 Feb 2008.
  35. Vasiliki Athanasakou & Norman Strong & Martin Walker, 2009. "Earnings management or forecast guidance to meet analyst expectations?," Accounting and Business Research, Taylor & Francis Journals, vol. 39(1), pages 3-35.
  36. Guanming He, 2021. "Credit rating, post‐earnings‐announcement drift, and arbitrage from transient institutions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(7-8), pages 1434-1467, July.
  37. Zhipeng Yan & Yan Zhao & Wei Xu & Lee-Young Cheng, 2012. "Earnings response elasticity and post-earnings-announcement drift," Journal of Asset Management, Palgrave Macmillan, vol. 13(4), pages 287-305, August.
  38. Akey, Pat & Grégoire, Vincent & Martineau, Charles, 2021. "Price Revelation from Insider Trading: Evidence from Hacked Earnings News," SocArXiv qe6tu, Center for Open Science.
  39. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.
  40. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
  41. Kai Wai Hui & P. Eric Yeung, 2013. "Underreaction to Industry‐Wide Earnings and the Post‐Forecast Revision Drift," Journal of Accounting Research, Wiley Blackwell, vol. 51(4), pages 701-737, September.
  42. Meng, Yun & Pantzalis, Christos & Park, Jung Chul, 2023. "Why corporate political geography matters for stock returns," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 71-96.
  43. Jeffrey Ng & Tjomme O. Rusticus & Rodrigo S. Verdi, 2008. "Implications of Transaction Costs for the Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 46(3), pages 661-696, June.
  44. Sean Shun Cao & Ganapathi S. Narayanamoorthy, 2012. "Earnings Volatility, Post–Earnings Announcement Drift, and Trading Frictions," Journal of Accounting Research, Wiley Blackwell, vol. 50(1), pages 41-74, March.
  45. Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2018. "High-frequency Cash Flow Dynamics," Working Papers 120, Brandeis University, Department of Economics and International Business School.
  46. Zhang, Gaiyan & Zhang, Sanjian, 2013. "Information efficiency of the U.S. credit default swap market: Evidence from earnings surprises," Journal of Financial Stability, Elsevier, vol. 9(4), pages 720-730.
  47. Mustafa K. Yılmaz & Mine Aksoy & Tankut T. Çelik, 2020. "Market reaction to regulatory policy changes in financial statements filings: evidence from Turkey," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(4), pages 567-605, December.
  48. Zhang, Sijia & Gregoriou, Andros, 2020. "Post earnings announcement drift, liquidity and zero leverage firms: Evidence from the UK stock market," Journal of Business Research, Elsevier, vol. 116(C), pages 13-26.
  49. Chordia, Tarun & Miao, Bin, 2020. "Market efficiency in real time: Evidence from low latency activity around earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 70(2).
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