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Post loss/profit announcement drift
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Cited by:
- 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.
- Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2019. "Taming the Factor Zoo: A Test of New Factors," NBER Working Papers 25481, National Bureau of Economic Research, Inc.
- Giglio, Stefano & Feng, Guanhao & Xiu, Dacheng, 2020. "Taming the Factor Zoo: A Test of New Factors," CEPR Discussion Papers 14266, C.E.P.R. Discussion Papers.
- 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.
- 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.
- 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.
- Chen, XiaoHua & Solomon, Edna M. & Verousis, Thanos, 2015. "Asymmetric post-announcement drift to good and bad news: evidence from voluntary trading disclosures in the Chinese stock market," Greenwich Papers in Political Economy 13795, University of Greenwich, Greenwich Political Economy Research Centre.
- Nettayanun, Sampan, 2023. "Asset pricing in bull and bear markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
- Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2024. "Evaluating asset pricing anomalies: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 70(PB).
- Wu, Yuliang & Mazouz, Khelifa, 2016. "Long-term industry reversals," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 236-250.
- 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.
- Kent Daniel & David Hirshleifer & Lin Sun, 2017. "Short- and Long-Horizon Behavioral Factors," NBER Working Papers 24163, National Bureau of Economic Research, Inc.
- Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019. "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
- repec:grz:wpsses:2020-04 is not listed on IDEAS
- 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.
- 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.
- Kewei Hou & Chen Xue & Lu Zhang, 2017. "Replicating Anomalies," NBER Working Papers 23394, National Bureau of Economic Research, Inc.
- Hai Wu, 2017. "Probability of loss reversal in Australia," Australian Journal of Management, Australian School of Business, vol. 42(4), pages 560-582, November.
- 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.
- Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
- Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
- 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.
- Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
- 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).
- 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.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2017. "Dissecting Characteristics Nonparametrically," NBER Working Papers 23227, National Bureau of Economic Research, Inc.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2018. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 7187, CESifo.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2017. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 6391, CESifo.
- Kaplanski, Guy, 2023. "The race to exploit anomalies and the cost of slow trading," Journal of Financial Markets, Elsevier, vol. 62(C).
- 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.
- Luyang Chen & Markus Pelger & Jason Zhu, 2024.
"Deep Learning in Asset Pricing,"
Management Science, INFORMS, vol. 70(2), pages 714-750, February.
- Luyang Chen & Markus Pelger & Jason Zhu, 2019. "Deep Learning in Asset Pricing," Papers 1904.00745, arXiv.org, revised Aug 2021.
- 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.
- 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.
- 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.
- 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.
- Klein, Olga & Klein, Daniel, 2024. "Institutional consensus after earnings announcements: Information or crowding?," International Review of Financial Analysis, Elsevier, vol. 95(PA).
- 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.
- 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.
- 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).
- 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.
- Andrew Y. Chen & Tom Zimmermann, 2022.
"Open Source Cross-Sectional Asset Pricing,"
Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
- Chen, Andrew Y. & Zimmermann, Tom, 2020. "Open source cross-sectional asset pricing," CFR Working Papers 20-04, University of Cologne, Centre for Financial Research (CFR).
- Andrew Y. Chen & Tom Zimmermann, 2021. "Open Source Cross-Sectional Asset Pricing," Finance and Economics Discussion Series 2021-037, Board of Governors of the Federal Reserve System (U.S.).
- Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
- Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
- Ilan Cooper & Paulo Maio, 2019. "Asset Growth, Profitability, and Investment Opportunities," Management Science, INFORMS, vol. 65(9), pages 3988-4010, September.
- Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
- Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
- 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.
- 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).
- 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.
- Hirshleifer, David & Teoh, Siew Hong, 2005. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," Working Paper Series 2005-24, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Wang, Feifei & Yan, Xuemin Sterling, 2021. "Downside risk and the performance of volatility-managed portfolios," Journal of Banking & Finance, Elsevier, vol. 131(C).
- 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.
- Marek Sojka, 2021. "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 143-166.
- 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.
- 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).
- Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019.
"Which Factors?,"
Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
- Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2014. "Which Factors?," NBER Working Papers 20682, National Bureau of Economic Research, Inc.
- 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.
- 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.
- 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.
- 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).
- Balakrishnan, Karthik & Shivakumar, Lakshmanan & Taori, Peeyush, 2021. "Analysts’ estimates of the cost of equity capital," Journal of Accounting and Economics, Elsevier, vol. 71(2).
- 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.
- 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.
- 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.
- 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.
- Bin Li, 2021. "Separating Information About Cash Flows from Information About Risk in Losses," Management Science, INFORMS, vol. 67(6), pages 3570-3595, June.
- 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.
- Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
- 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.
- 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.
- Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.