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

Citations

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Cited by:

  1. 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.
  2. 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.
  3. Philipp K. Illeditsch & Jayant V. Ganguli & Scott Condie, 2021. "Information Inertia," Journal of Finance, American Finance Association, vol. 76(1), pages 443-479, February.
  4. repec:osf:socarx:qe6tu_v1 is not listed on IDEAS
  5. 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.
  6. repec:grz:wpsses:2020-04 is not listed on IDEAS
  7. 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.
  8. 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.
  9. Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2018. "High-frequency Cash Flow Dynamics," Working Papers 120, Brandeis University, Department of Economics and International Business School.
  10. 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.
  11. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  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. Jacob Thomas & Frank X. Zhang, 2011. "Tax Expense Momentum," Journal of Accounting Research, Wiley Blackwell, vol. 49(3), pages 791-821, June.
  18. 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).
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
  25. Dehong Liu & Tiantian Lin & Carl R. Chen & Wenjun Feng, 2025. "Air pollution, analyst information provision, and stock price synchronicity," Review of Quantitative Finance and Accounting, Springer, vol. 64(3), pages 1029-1077, April.
  26. repec:osf:socarx:z7k3p_v1 is not listed on IDEAS
  27. 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.
  28. 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.
  29. Fink, Josef & Palan, Stefan & Theissen, Erik, 2024. "Trading frictions and the Post-earnings-announcement drift," Journal of Economics and Business, Elsevier, vol. 132(C).
  30. Pelster, Matthias & Val, Joel, 2024. "Can ChatGPT assist in picking stocks?," Finance Research Letters, Elsevier, vol. 59(C).
  31. Marek Sojka, 2021. "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 143-166.
  32. repec:grz:wpsses:2021-01 is not listed on IDEAS
  33. 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.
  34. 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).
  35. 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.
  36. 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.
  37. Akey, Pat & Grégoire, Vincent & Martineau, Charles, 2021. "Price Revelation from Insider Trading: Evidence from Hacked Earnings News," SocArXiv qe6tu, Center for Open Science.
  38. 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.
  39. 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.
  40. 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.
  41. 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).
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.
  53. 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.
  54. Lan, Qiujun & Xie, Yuxuan & Mi, Xianhua & Zhang, Chunyu, 2024. "Post earnings announcement drift: A simple earnings surprise measure, the medium effect of investor attention and investing strategy," International Review of Financial Analysis, Elsevier, vol. 95(PB).
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