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The leaders' shadow: Excessive information spillover in the Chinese stock market

Author

Listed:
  • Jiaxin Duan
  • Lei Lu
  • Yixin Wei
  • Fangyi Yin

Abstract

This study investigates information spillover from industry leaders to peer firms during the leaders' earnings announcements (EAs) in the Chinese stock market. We find a positive information spillover, which is subsequently corrected when peers announce their own earnings, indicating excessive information spillover (overreaction). We further identify several reasons for the overreaction: (1) investors' overweighing of leaders' earnings in evaluating peers' earnings; (2) investors' abnormal searching and trading behaviours, particularly among retail investors; and (3) peer firms' poor information environment and limits to arbitrage. These findings suggest that overreaction could be more prominent in less mature, retail investor‐dominated markets like China.

Suggested Citation

  • Jiaxin Duan & Lei Lu & Yixin Wei & Fangyi Yin, 2025. "The leaders' shadow: Excessive information spillover in the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(3), pages 2454-2486, September.
  • Handle: RePEc:bla:acctfi:v:65:y:2025:i:3:p:2454-2486
    DOI: 10.1111/acfi.70003
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    References listed on IDEAS

    as
    1. Freeman, Rn & Tse, Sy, 1992. "A Nonlinear Model Of Security Price Responses To Unexpected Earnings," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 30(2), pages 185-209.
    2. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    3. Gerald J. Lobo & Samuel Tung, 1997. "Relation Between Predisclosure Information Asymmetry and Trading Volume Reaction Around Quarterly Earnings Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(6), pages 851-867.
    4. Qiang Cheng & Fei Du & Brian Yutao Wang & Xin Wang, 2019. "Do Corporate Site Visits Impact Stock Prices?," Contemporary Accounting Research, John Wiley & Sons, vol. 36(1), pages 359-388, March.
    5. Trueman, Brett, 1994. "Analyst Forecasts and Herding Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 97-124.
    6. Ma, Junjun & Xiong, Xiong & Feng, Xu, 2021. "News release and the role of different types of investors," International Review of Financial Analysis, Elsevier, vol. 73(C).
    7. Bai, Min & Qin, Yafeng, 2015. "Short sales constraints and price adjustments to earnings announcements: Evidence from the Hong Kong market," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 304-315.
    8. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    9. Eric K. Kelley & Paul C. Tetlock, 2013. "How Wise Are Crowds? Insights from Retail Orders and Stock Returns," Journal of Finance, American Finance Association, vol. 68(3), pages 1229-1265, June.
    10. Jinzhi Lu, 2022. "Limited Attention: Implications for Financial Reporting," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 60(5), pages 1991-2027, December.
    11. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    12. Yongtae Kim & Michael Lacina & Myung Seok Park, 2008. "Positive and Negative Information Transfers from Management Forecasts," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 46(4), pages 885-908, September.
    13. Jonathan A. Milian, 2015. "Unsophisticated Arbitrageurs and Market Efficiency: Overreacting to a History of Underreaction?," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 53(1), pages 175-220, March.
    14. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    15. Shail Pandit & Charles E. Wasley & Tzachi Zach, 2011. "Information Externalities along the Supply Chain: The Economic Determinants of Suppliers’ Stock Price Reaction to Their Customers’ Earnings Announcements," Contemporary Accounting Research, John Wiley & Sons, vol. 28(4), pages 1304-1343, December.
    16. 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.
    17. Hirshleifer, David & Daniel, Kent, 2015. "Overconfident investors, predictable returns, and excessive trading," MPRA Paper 69002, University Library of Munich, Germany.
    18. Shroff, Nemit & Verdi, Rodrigo S. & Yost, Benjamin P., 2017. "When does the peer information environment matter?," Journal of Accounting and Economics, Elsevier, vol. 64(2), pages 183-214.
    19. Jiang, Xuanyu & Yuan, Qingbo, 2018. "Institutional investors' corporate site visits and corporate innovation," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 148-168.
    20. Anilowski, Carol & Feng, Mei & Skinner, Douglas J., 2007. "Does earnings guidance affect market returns? The nature and information content of aggregate earnings guidance," Journal of Accounting and Economics, Elsevier, vol. 44(1-2), pages 36-63, September.
    21. Michael S. Drake & Jacob R. Thornock & Brady J. Twedt, 2017. "The internet as an information intermediary," Review of Accounting Studies, Springer, vol. 22(2), pages 543-576, June.
    22. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 50(4), pages 1001-1040, September.
    23. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 44(1), pages 177-205, March.
    24. Hong, Xin & Zhuang, Zhuang & Kang, Di & Wang, Zhibin, 2019. "Do corporate site visits impact hedge fund performance?," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 113-128.
    25. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
    26. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    27. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    28. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    29. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 6(2), pages 159-178.
    30. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "Liquidity and Autocorrelations in Individual Stock Returns," Journal of Finance, American Finance Association, vol. 61(5), pages 2365-2394, October.
    31. Qiang Cheng & Fei Du & Xin Wang & Yutao Wang, 2016. "Seeing is believing: analysts’ corporate site visits," Review of Accounting Studies, Springer, vol. 21(4), pages 1245-1286, December.
    32. Samuel B. Bonsall & Zahn Bozanic & Paul E.. Fischer, 2013. "What Do Management Earnings Forecasts Convey About the Macroeconomy?," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 51(2), pages 225-266, May.
    33. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    34. Frank, Murray Z. & Sanati, Ali, 2018. "How does the stock market absorb shocks?," Journal of Financial Economics, Elsevier, vol. 129(1), pages 136-153.
    35. Rong Ding & Yukun Shi & Hang Zhou, 2023. "Social media coverage and post-earnings announcement drift: evidence from seeking alpha," The European Journal of Finance, Taylor & Francis Journals, vol. 29(2), pages 207-227, January.
    36. Gregory Koutmos, 2014. "Positive feedback trading: a review," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 6(2), pages 155-162, November.
    37. Fedyk, Anastassia & Hodson, James, 2023. "When can the market identify old news?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 92-113.
    38. 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.
    39. Gregory Koutmos, 2014. "Positive feedback trading: a review," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 6(2), pages 155-162, November.
    40. Foster, George, 1981. "Intra-industry information transfers associated with earnings releases," Journal of Accounting and Economics, Elsevier, vol. 3(3), pages 201-232, December.
    41. Gerald J. Lobo & Samuel Tung, 1997. "Relation Between Predisclosure Information Asymmetry and Trading Volume Reaction Around Quarterly Earnings Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(6), pages 851-867, July.
    42. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    43. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.
    44. Jiaxing You & Bohui Zhang & Le Zhang, 2018. "Who Captures the Power of the Pen?," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 43-96.
    45. Ali, Usman & Hirshleifer, David, 2020. "Shared analyst coverage: Unifying momentum spillover effects," Journal of Financial Economics, Elsevier, vol. 136(3), pages 649-675.
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