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Post loss/profit announcement drift

Citations

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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. Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020. "Taming the Factor Zoo: A Test of New Factors," Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
  4. Peng-Chia Chiu & Timothy D. Haight, 2020. "Investor learning, earnings signals, and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 671-698, February.
  5. R. Jared DeLisle & Mengying Wang & H. Zafer Yüksel & Gulnara R. Zaynutdinova, 2024. "The effects of import competition on domestic financial markets: The role of limits-to-arbitrage," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 55(2), pages 212-234, March.
  6. Campbell, T. Colin & Chichernea, Doina C. & Petkevich, Alex, 2016. "Dissecting the bond profitability premium," Journal of Financial Markets, Elsevier, vol. 27(C), pages 102-131.
  7. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
  8. XiaoHua Chen & Edna Solomon & Thanos Verousis, 2016. "Asymmetric Post-Announcement Drift to Good and Bad News: Evidence from Voluntary Trading Disclosures in the Chinese Stock Market," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 23(2), pages 183-198, July.
  9. Ilan Cooper & Paulo Maio, 2019. "Asset Growth, Profitability, and Investment Opportunities," Management Science, INFORMS, vol. 65(9), pages 3988-4010, September.
  10. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
  11. 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.
  12. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
  13. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
  14. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, October.
  15. Fuwei Jiang & Fujing Jin & Kejia Zhang, 2023. "Financial openness and profitability premium: Causal evidence from the Shanghai‐Hong Kong Stock Connect," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 451-483, March.
  16. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
  17. Luyang Chen & Markus Pelger & Jason Zhu, 2024. "Deep Learning in Asset Pricing," Management Science, INFORMS, vol. 70(2), pages 714-750, February.
  18. Nettayanun, Sampan, 2023. "Asset pricing in bull and bear markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
  19. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
  20. 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.
  21. Hoang, Khoa & Huang, Ronghong & Truong, Helen, 2023. "Resurrecting the market factor: A case of data mining across international markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  22. Wu, Yuliang & Mazouz, Khelifa, 2016. "Long-term industry reversals," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 236-250.
  23. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
  24. Bui, Dien Giau & Kong, De-Rong & Lin, Chih-Yung & Lin, Tse-Chun, 2023. "Momentum in machine learning: Evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  25. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
  26. Kaplanski, Guy, 2023. "The race to exploit anomalies and the cost of slow trading," Journal of Financial Markets, Elsevier, vol. 62(C).
  27. Yu-Chin Hsu & Hsiou-Wei Lin & Kendro Vincent, 2017. "Do Cross-Sectional Stock Return Predictors Pass the Test without Data-Snooping Bias?," IEAS Working Paper : academic research 17-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  28. Wang, Feifei & Yan, Xuemin Sterling, 2021. "Downside risk and the performance of volatility-managed portfolios," Journal of Banking & Finance, Elsevier, vol. 131(C).
  29. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
  30. Marek Sojka, 2021. "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 143-166.
  31. Luminita Enache & Hila Fogel‐Yaari & Heather Li, 2022. "Signalling long‐term focus through textual emphasis on innovation: are firms putting their money where their mouth is?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3791-3836, September.
  32. Bin Li, 2021. "Separating Information About Cash Flows from Information About Risk in Losses," Management Science, INFORMS, vol. 67(6), pages 3570-3595, June.
  33. 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.
  34. Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019. "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  35. De Nard, Gianluca & Zhao, Zhao, 2022. "A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 654-676.
  36. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
  37. Choy, Siu Kai & Lewis, Craig & Tan, Yongxian, 2023. "Can the changes in fundamentals explain the attenuation of anomalies?," Journal of Financial Economics, Elsevier, vol. 149(2), pages 142-160.
  38. Olivier Ledoit & Michael Wolf & Zhao Zhao, 2016. "Efficient Sorting: A More Powerful Test for Cross-Sectional Anomalies," ECON - Working Papers 238, Department of Economics - University of Zurich, revised May 2018.
  39. repec:grz:wpsses:2020-04 is not listed on IDEAS
  40. Kristoffer Pons Bertelsen, 2022. "The Prior Adaptive Group Lasso and the Factor Zoo," CREATES Research Papers 2022-05, Department of Economics and Business Economics, Aarhus University.
  41. Chakrabarty, Bidisha & Moulton, Pamela C., 2012. "Earnings announcements and attention constraints: The role of market design," Journal of Accounting and Economics, Elsevier, vol. 53(3), pages 612-634.
  42. 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.
  43. 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).
  44. 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.
  45. Gianluca De Nard & Simon Hediger & Markus Leippold, 2022. "Subsampled factor models for asset pricing: The rise of Vasa," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1217-1247, September.
  46. Weichuan Deng & Pawel Polak & Abolfazl Safikhani & Ronakdilip Shah, 2023. "A Unified Framework for Fast Large-Scale Portfolio Optimization," Papers 2303.12751, arXiv.org, revised Nov 2023.
  47. Hui, Kai Wai & Nelson, Karen K. & Yeung, P. Eric, 2016. "On the persistence and pricing of industry-wide and firm-specific earnings, cash flows, and accruals," Journal of Accounting and Economics, Elsevier, vol. 61(1), pages 185-202.
  48. Cederburg, Scott & O’Doherty, Michael S. & Wang, Feifei & Yan, Xuemin (Sterling), 2020. "On the performance of volatility-managed portfolios," Journal of Financial Economics, Elsevier, vol. 138(1), pages 95-117.
  49. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.
  50. Hediger, Simon & Michel, Loris & Näf, Jeffrey, 2022. "On the use of random forest for two-sample testing," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
  51. Dan S. Dhaliwal & Steven E. Kaplan & Rick C. Laux & Eric Weisbrod, 2013. "The Information Content of Tax Expense for Firms Reporting Losses," Journal of Accounting Research, Wiley Blackwell, vol. 51(1), pages 135-164, March.
  52. Edith Leung & David Veenman, 2018. "Non‐GAAP Earnings Disclosure in Loss Firms," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1083-1137, September.
  53. Joseph Engelberg & Linh Thompson & Jared Williams, 2020. "Stock market anomalies and baseball cards," The Financial Review, Eastern Finance Association, vol. 55(3), pages 461-479, August.
  54. Diaz-Ruiz, Polux & Herrerias, Renata & Vasquez, Aurelio, 2020. "Anomalies in emerging markets: The case of Mexico," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
  55. Hou, Kewei & Xue, Chen & Zhang, Lu, 2017. "Replicating Anomalies," Working Paper Series 2017-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  56. Hai Wu, 2017. "Probability of loss reversal in Australia," Australian Journal of Management, Australian School of Business, vol. 42(4), pages 560-582, November.
  57. Panos N. Patatoukas & Richard G. Sloan & Annika Yu Wang, 2022. "Valuation Uncertainty and Short-Sales Constraints: Evidence from the IPO Aftermarket," Management Science, INFORMS, vol. 68(1), pages 608-634, January.
  58. Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
  59. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
  60. Balakrishnan, Karthik & Shivakumar, Lakshmanan & Taori, Peeyush, 2021. "Analysts’ estimates of the cost of equity capital," Journal of Accounting and Economics, Elsevier, vol. 71(2).
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