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Investor-listed company interaction and post-earnings announcement drift for individual stocks

Author

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  • Chen, Jingchao
  • Jia, Li

Abstract

This study explores listed companies in China's capital market as research subjects to investigate the impact of online interaction between investors and listed companies on stock price drift following earnings announcements. The results show that the online interaction between investors and listed companies can significantly reduce the stock price drift following earnings announcements, with this effect being more pronounced in nonstate-owned enterprises and companies with a higher proportion of institutional investor holdings. The findings provide useful information for improving information efficiency in the securities market and optimizing the market environment.

Suggested Citation

  • Chen, Jingchao & Jia, Li, 2024. "Investor-listed company interaction and post-earnings announcement drift for individual stocks," Finance Research Letters, Elsevier, vol. 62(PA).
  • Handle: RePEc:eee:finlet:v:62:y:2024:i:pa:s1544612324001272
    DOI: 10.1016/j.frl.2024.105097
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    References listed on IDEAS

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    1. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    2. Hao, Jing, 2023. "Retail investor attention and corporate innovation in the big data era," International Review of Financial Analysis, Elsevier, vol. 86(C).
    3. Gregory S. Miller & Douglas J. Skinner, 2015. "The Evolving Disclosure Landscape: How Changes in Technology, the Media, and Capital Markets Are Affecting Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 221-239, May.
    4. Chu, Gang & Dowling, Michael & Shen, Dehua & Zhang, Yongjie, 2023. "Information demand density matters: Evidence from the post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 86(C).
    5. Du, Xiuli & Ao, Zhu & Chai, Yiwei & Ge, Shilong, 2023. "Economic policy uncertainty, investor attention and post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 87(C).
    6. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    7. Kim, Dongcheol & Kim, Myungsun, 2003. "A Multifactor Explanation of Post-Earnings Announcement Drift," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(2), pages 383-398, June.
    8. Baker, H. Kent & Ni, Yang & Saadi, Samir & Zhu, Hui, 2019. "Competitive earnings news and post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 331-343.
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