IDEAS home Printed from https://ideas.repec.org/r/bla/joares/v44y2006i1p85-112.html
   My bibliography  Save this item

Volume, Opinion Divergence, and Returns: A Study of Post–Earnings Announcement Drift

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Xuguang Sheng & Maya Thevenot, 2013. "Differential Interpretation of Public Information: Estimation and Inference," Working Papers 2013-03, American University, Department of Economics.
  2. Giannini, Robert & Irvine, Paul & Shu, Tao, 2019. "The convergence and divergence of investors' opinions around earnings news: Evidence from a social network," Journal of Financial Markets, Elsevier, vol. 42(C), pages 94-120.
  3. Pietro Perotti & Alfred Wagenhofer, 2014. "Earnings Quality Measures and Excess Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(5-6), pages 545-571, June.
  4. Tung Lam Dang & Robert Faff & Hoang Luong & Lily Nguyen, 2019. "Individualistic cultures and crash risk," European Financial Management, European Financial Management Association, vol. 25(3), pages 622-654, June.
  5. Jeffrey Hobbs & Hei Wai Lee & Vivek Singh, 2017. "New evidence on the effect of belief heterogeneity on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 289-309, February.
  6. Hong‐Yi Chen & Pin‐Huang Chou & Chia‐Hsun Hsieh, 2018. "Persistency of the momentum effect," European Financial Management, European Financial Management Association, vol. 24(5), pages 856-892, November.
  7. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
  8. McSweeney, Brendan, 2009. "The roles of financial asset market failure denial and the economic crisis: Reflections on accounting and financial theories and practices," Accounting, Organizations and Society, Elsevier, vol. 34(6-7), pages 835-848, August.
  9. Chen, Lin & Qin, Lu & Zhu, Hongquan, 2015. "Opinion divergence, unexpected trading volume and stock returns: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 36(C), pages 119-127.
  10. Brogaard, Jonathan & Koski, Jennifer L. & Siegel, Andrew F., 2019. "Do upgrades matter? Evidence from trading volume," Journal of Financial Markets, Elsevier, vol. 43(C), pages 54-77.
  11. A. William Richardson & Kevin Veenstra, 2022. "The Post‐earnings Announcement Drift: A Pre‐earnings Announcement Effect? A Multi‐period Analysis," Abacus, Accounting Foundation, University of Sydney, vol. 58(4), pages 648-678, December.
  12. Choi, Hae Mi, 2019. "Market uncertainty and trading volume around earnings announcements," Finance Research Letters, Elsevier, vol. 30(C), pages 14-22.
  13. Chung, Kee H. & Kim, Oliver & Lim, Steve C. & Yang, Sean, 2019. "An analytical measure of market underreaction to earnings news," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 612-624.
  14. D’Augusta, Carlo & De Vito, Antonio & Grossetti, Francesco, 2023. "Words and numbers: A disagreement story from post-earnings announcement return and volume patterns," Finance Research Letters, Elsevier, vol. 54(C).
  15. Eric R. Holzman & Nathan T. Marshall & Joseph H. Schroeder & Teri Lombardi Yohn, 2021. "Is all disaggregation good for investors? Evidence from earnings announcements," Review of Accounting Studies, Springer, vol. 26(2), pages 520-558, June.
  16. Wang, Zijun, 2021. "The high volume return premium and economic fundamentals," Journal of Financial Economics, Elsevier, vol. 140(1), pages 325-345.
  17. Zhang, Qi & Cai, Charlie X. & Keasey, Kevin, 2013. "Market reaction to earnings news: A unified test of information risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 251-266.
  18. Vijh, Anand M. & Yang, Ke, 2013. "Are small firms less vulnerable to overpriced stock offers?," Journal of Financial Economics, Elsevier, vol. 110(1), pages 61-86.
  19. Doron Israeli & Ron Kaniel & Suhas A. Sridharan, 2022. "The Real Side of the High-Volume Return Premium," Management Science, INFORMS, vol. 68(2), pages 1426-1449, February.
  20. Dahm, Laura K. & Sorhage, Christoph, 2015. "Milk or wine: Mutual funds' (dis)economies of life," CFR Working Papers 15-05, University of Cologne, Centre for Financial Research (CFR).
  21. Goh, Jihoon & Jeon, Byoung-Hyun, 2017. "Post-earnings-announcement-drift and 52-week high: Evidence from Korea," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 150-159.
  22. Shin S. Ikeda & Yan Zhang, 2012. "Heterogeneous Beliefs, a Short-Sale Restriction, and the Cross Section of Stock Returns: An Evidence from China," GRIPS Discussion Papers 12-12, National Graduate Institute for Policy Studies.
  23. Charoenwong, Charlie & Ding, David K. & Wang, Ping, 2013. "Short sales constraint and SEO pricing," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 107-118.
  24. Göricke, Marc-André, 2016. "Do generalists profit from the fund families' specialists? Evidence from mutual fund families offering sector funds," CFR Working Papers 16-09, University of Cologne, Centre for Financial Research (CFR).
  25. Chen, Tao, 2021. "Informed trading and earnings announcement driven disagreement in global markets," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 43(C).
  26. Jonathan A. Milian, 2015. "Unsophisticated Arbitrageurs and Market Efficiency: Overreacting to a History of Underreaction?," Journal of Accounting Research, Wiley Blackwell, vol. 53(1), pages 175-220, March.
  27. Hu, Yingyi & Zhao, Tiao & Zhang, Lin, 2020. "Noise trading, institutional trading, and opinion divergence: Evidence on intraday data in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 74-89.
  28. Brad A. Badertscher & Jeffrey J. Burks & Peter D. Easton, 2018. "The market reaction to bank regulatory reports," Review of Accounting Studies, Springer, vol. 23(2), pages 686-731, June.
  29. Dorminey, Jack W. & Apostolou, Barbara, 2012. "Hedging derivatives in the banking industry: Evidence of investor confusion," Research in Accounting Regulation, Elsevier, vol. 24(2), pages 65-73.
  30. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  31. Gordon, Narelle & Wu, Qiongbing, 2018. "The high-volume return premium and changes in investor recognition," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 121-136.
  32. Gharghori, Philip & See, Quin & Veeraraghavan, Madhu, 2011. "Difference of opinion and the cross-section of equity returns: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 435-446, September.
  33. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
  34. Cai, Charlie X. & McGuinness, Paul B. & Zhang, Qi, 2011. "The pricing dynamics of cross-listed securities: The case of Chinese A- and H-shares," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2123-2136, August.
  35. 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.
  36. Carlo D'Augusta & Sasson Bar-Yosef & Annalisa Prencipe, 2016. "The Effects of Conservative Reporting on Investor Disagreement," European Accounting Review, Taylor & Francis Journals, vol. 25(3), pages 451-485, September.
  37. Paul Fischer & Chongho Kim & Frank Zhou, 2022. "Disagreement about fundamentals: measurement and consequences," Review of Accounting Studies, Springer, vol. 27(4), pages 1423-1456, December.
  38. Qi Zhang & Charlie Cai & Kevin Keasey, 2014. "The profitability, costs and systematic risk of the post-earnings-announcement-drift trading strategy," Review of Quantitative Finance and Accounting, Springer, vol. 43(3), pages 605-625, October.
  39. Das, Somnath & King, Alexander Z., 2021. "Measuring the informativeness of earnings announcements: The role of event windows," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 350-367.
  40. Li, Leon & Chen, Carl R., 2016. "Analysts' forecast dispersion and stock returns: a panel threshold regression analysis based on conditional limited market participation hypothesis," Finance Research Letters, Elsevier, vol. 18(C), pages 100-107.
  41. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Tuneshev, Ruslan, 2018. "Differences in options investors’ expectations and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 315-336.
  42. Sheng, Xuguang (Simon) & Thevenot, Maya, 2015. "Quantifying differential interpretation of public information using financial analysts’ earnings forecasts," International Journal of Forecasting, Elsevier, vol. 31(2), pages 515-530.
  43. Li, Yan & Liang, Chao & Huynh, Toan L.D. & He, Qiubei, 2022. "Price reversal and heterogeneous belief," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 104-119.
  44. Qian Chen & Xiang Gao & Gangchen Liu, 2021. "Limited Attention and Post-Earnings Announcement Drift: Evidence from China s Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 1-17.
  45. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
  46. Zhang, Yan & Ikeda, Shin S., 2016. "A dynamic panel analysis of HKEx shorting ban’s impact on the relationship between disagreement and future returns," Finance Research Letters, Elsevier, vol. 17(C), pages 10-16.
  47. Andrey Kudryavtsev, 2019. "The Effect Of Trading Volumes On Stock Returns Following Large Price Moves," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(220), pages 85-116, January –.
  48. Hong, Jiawei & Yu, Xiaojian & Xiao, Weilin & Zhang, Xili, 2022. "The dispersion of beta estimates and the investors’ heterogeneous Beliefs：Evidence from the stock market in China," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 540-550.
  49. Hwang, Lee-Seok & Lee, Woo-Jong & Lim, Seung-Yeon & Park, Kyung-Ho, 2013. "Does information risk affect the implied cost of equity capital? An analysis of PIN and adjusted PIN," Journal of Accounting and Economics, Elsevier, vol. 55(2), pages 148-167.
  50. Hasan, Iftekhar & Massoud, Nadia & Saunders, Anthony & Song, Keke, 2015. "Which financial stocks did short sellers target in the subprime crisis?," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 87-103.
  51. Han, Jianlei & Pan, Zheyao & Zhang, Guangli, 2017. "Divergence of opinion and long-run performance of private placements: evidence from the auction market," Working Papers 2017-09, University of Tasmania, Tasmanian School of Business and Economics.
  52. Siu Kai Choy & Hua Zhang, 2019. "Public news announcements, short-sale restriction and informational efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 52(1), pages 197-229, January.
  53. Elizabeth Gutierrez & Miguel Minutti-Meza & Kay W. Tatum & Maria Vulcheva, 2018. "Consequences of adopting an expanded auditor’s report in the United Kingdom," Review of Accounting Studies, Springer, vol. 23(4), pages 1543-1587, December.
  54. Gao, Shenghao & Brockman, Paul & Meng, Qingbin & Yan, Xuemin, 2020. "Differences of opinion, institutional bids, and IPO underpricing," Journal of Corporate Finance, Elsevier, vol. 60(C).
  55. Al-Nasseri, Alya & Menla Ali, Faek, 2018. "What does investors' online divergence of opinion tell us about stock returns and trading volume?," Journal of Business Research, Elsevier, vol. 86(C), pages 166-178.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.