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Heterogeneous investor attention and post earnings announcement drift: Evidence from China

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  • Chen, Xing
  • Diao, Xundi
  • Wu, Chongfeng

Abstract

We investigate the impacts of retail and nonretail investor attention on post earnings announcement drift (PEAD) in China. Prior studies mainly posited that investor attention helps to interpret earnings news. However, we suggest that retail (nonretail) investor attention is positively (negatively) related with PEAD from 2011 to 2018 when employing the abnormal search index and abnormal turnover residual as proxies for retail and nonretail investor attention. This is robust when using alternative methodology andmeasures and introducing instrumental variables. Additional analyses prove that this is because retail (nonretail) attention is positively (negatively) associated with firms’ information uncertainty, illiquidity and leads to irrational (rational) behavior. Moreover, the influence of retail investor attention on PEAD is stronger as the stock price approximates its 52 week high. These findings emphasize the significance of investor sophistication when studying the function of investor attention in the financial market.

Suggested Citation

  • Chen, Xing & Diao, Xundi & Wu, Chongfeng, 2022. "Heterogeneous investor attention and post earnings announcement drift: Evidence from China," Economic Modelling, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:ecmode:v:110:y:2022:i:c:s0264999322000426
    DOI: 10.1016/j.econmod.2022.105796
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    as
    1. Dongmin Kong & Chen Lin & Shasha Liu, 2019. "Does Information Acquisition Alleviate Market Anomalies? Categorization Bias in Stock Splits," Review of Finance, European Finance Association, vol. 23(1), pages 245-277.
    2. Aouadi, Amal & Arouri, Mohamed & Teulon, Frédéric, 2013. "Investor attention and stock market activity: Evidence from France," Economic Modelling, Elsevier, vol. 35(C), pages 674-681.
    3. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    4. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    5. Brown, LD & Han, JCY, 2000. "Do stock prices fully reflect the implications of current earnings for future earnings for AR1 firms?," Journal of Accounting Research, Wiley Blackwell, vol. 38(1), pages 149-164.
    6. Amir Rubin & Eran Rubin, 2010. "Informed Investors and the Internet," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7‐8), pages 841-865, July.
    7. Huang, Shiyang & Liu, Xin & Yin, Chengxi, 2019. "Investor target prices," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 39-57.
    8. Zhang, Wei & Shen, Dehua & Zhang, Yongjie & Xiong, Xiong, 2013. "Open source information, investor attention, and asset pricing," Economic Modelling, Elsevier, vol. 33(C), pages 613-619.
    9. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    10. 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.
    11. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    12. Michael S. Drake & Jared Jennings & Darren T. Roulstone & Jacob R. Thornock, 2017. "The Comovement of Investor Attention," Management Science, INFORMS, vol. 63(9), pages 2847-2867, September.
    13. Roger K. Loh, 2010. "Investor Inattention and the Underreaction to Stock Recommendations," Financial Management, Financial Management Association International, vol. 39(3), pages 1223-1252, September.
    14. Liu, Bibo & Wang, Huijun & Yu, Jianfeng & Zhao, Shen, 2020. "Time-varying demand for lottery: Speculation ahead of earnings announcements," Journal of Financial Economics, Elsevier, vol. 138(3), pages 789-817.
    15. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    16. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
    17. Bogan, Vicki, 2008. "Stock Market Participation and the Internet," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(1), pages 191-211, March.
    18. Welagedara, Venura & Deb, Saikat Sovan & Singh, Harminder, 2017. "Investor attention, analyst recommendation revisions, and stock prices," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 211-223.
    19. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    20. Joseph E. Engelberg & Christopher A. Parsons, 2011. "The Causal Impact of Media in Financial Markets," Journal of Finance, American Finance Association, vol. 66(1), pages 67-97, February.
    21. Frank, Murray Z. & Sanati, Ali, 2018. "How does the stock market absorb shocks?," Journal of Financial Economics, Elsevier, vol. 129(1), pages 136-153.
    22. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    23. Ron Kaniel & Shuming Liu & Gideon Saar & Sheridan Titman, 2012. "Individual Investor Trading and Return Patterns around Earnings Announcements," Journal of Finance, American Finance Association, vol. 67(2), pages 639-680, April.
    24. Mingyi Hung & Xi Li & Shiheng Wang, 2015. "Post-Earnings-Announcement Drift in Global Markets: Evidence from an Information Shock," Review of Financial Studies, Society for Financial Studies, vol. 28(4), pages 1242-1283.
    25. Amir Rubin & Eran Rubin, 2010. "Informed Investors and the Internet," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7-8), pages 841-865.
    26. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2015. "The Determinants and Consequences of Information Acquisition via EDGAR," Contemporary Accounting Research, John Wiley & Sons, vol. 32(3), pages 1128-1161, September.
    27. Seasholes, Mark S. & Wu, Guojun, 2007. "Predictable behavior, profits, and attention," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 590-610, December.
    28. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    29. Turan G. Bali & David Hirshleifer & Lin Peng & Yi Tang, 2021. "Attention, Social Interaction, and Investor Attraction to Lottery Stocks," NBER Working Papers 29543, National Bureau of Economic Research, Inc.
    30. Dennis Y. Chung & Karel Hrazdil, 2011. "Market Efficiency and the Post†Earnings Announcement Drift," Contemporary Accounting Research, John Wiley & Sons, vol. 28(3), pages 926-956, September.
    31. Cheng, Feiyang & Chiao, Chaoshin & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2021. "Does retail investor attention improve stock liquidity? A dynamic perspective," Economic Modelling, Elsevier, vol. 94(C), pages 170-183.
    32. Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019. "Noise traders and smart money: Evidence from online searches," Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
    33. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    34. 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.
    35. Shin, Heejeong & Park, Sorah, 2018. "Do foreign investors mitigate anchoring bias in stock market? Evidence based on post-earnings announcement drift," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 224-240.
    36. Dong Lou, 2014. "Attracting Investor Attention through Advertising," Review of Financial Studies, Society for Financial Studies, vol. 27(6), pages 1797-1829.
    37. Battalio, Robert H. & Mendenhall, Richard R., 2005. "Earnings expectations, investor trade size, and anomalous returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 77(2), pages 289-319, August.
    38. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    39. Kim, Jeong-Bon & Li, Liuchuang & Yu, Zhongbo & Zhang, Hao, 2019. "Local versus non-local effects of Chinese media and post-earnings announcement drift," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 82-92.
    40. Eom, Yunsung & Hahn, Jaehoon & Sohn, Wook, 2019. "Individual investors and post-earnings-announcement drift: Evidence from Korea," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 379-398.
    41. Xi Li & Mingyi Hung & Shiheng Wang, 2015. "Post-Earnings-Announcement Drift in Global Markets: Evidence from an Information Shock," HKUST IEMS Working Paper Series 2015-17, HKUST Institute for Emerging Market Studies, revised Mar 2015.
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