Post‐Earnings Announcement Drift: Bounds on Profitability for the Marginal Investor
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DOI: j.1540-6288.2011.00310.x
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Cited by:
- Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
- Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
- Alexander, Gordon J. & Peterson, Mark A. & Beardsley, Xiaoxin Wang, 2014. "The puzzling behavior of short sellers around earnings announcements," Journal of Financial Intermediation, Elsevier, vol. 23(2), pages 255-278.
- Sanjay Sehgal & Kumar Bijoy, 2015. "Stock Price Reactions to Earnings Announcements: Evidence from India," Vision, , vol. 19(1), pages 25-36, March.
- repec:grz:wpsses:2020-03 is not listed on IDEAS
- Zhu, Hui, 2014. "Implications of limited investor attention to customer–supplier information transfers," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(3), pages 405-416.
- Marek Sojka, 2021. "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 143-166.
- Fink, Josef & Palan, Stefan & Theissen, Erik, 2020. "Earnings autocorrelation and the post-earnings-announcement drift: Experimental evidence," CFR Working Papers 20-10, University of Cologne, Centre for Financial Research (CFR).
- Ali, Ashiq & Chen, Xuanjuan & Yao, Tong & Yu, Tong, 2020. "Can mutual funds profit from post earnings announcement drift? The role of competition," Journal of Banking & Finance, Elsevier, vol. 114(C).
- repec:grz:wpsses:2021-01 is not listed on IDEAS
- repec:grz:wpsses:2020-04 is not listed on IDEAS
- Justin Cox, 2020. "Market fragmentation and post-earnings announcement drift," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(3), pages 587-610, July.
- 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.
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