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Investor Attention and Stock Liquidity in the Chinese Market

Author

Listed:
  • Weihan Zhao

    (Wenzhou-Kean University)

  • Jianing Zhang

    (Wenzhou-Kean University
    Wenzhou-Kean University
    Wenzhou-Kean University)

Abstract

With the advancement of science and technology and the popularization of the internet, information resources have become more and more abundant, but the attention of investors has become relatively scarce. In the face of surplus information resources, how investors allocate their attention will affect investors’ decision making. This study examines the dynamic relationship between investors’ attention and China’s stock market liquidity, utilizing weekly data based on the component stocks of the Shenzhen Stock Exchange 100 Index in China from January 1, 2018, to December 31, 2020. The analysis reveals that investors’ attention, measured by the Google Trends search volume index, negatively affects future stock liquidity. Moreover, a long-term cointegration relationship exists between investor attention and stock liquidity. The negative relationship between investor attention and stock liquidity is robust for an alternative liquidity measure using a stock fixed-effects model. The inverse correlation between investor attention and stock liquidity was more potent before the coronavirus disease 2019 pandemic and weakened amid the pandemic. The findings in this paper can enrich the standard of investors’ investment decisions and help investors make objective, rational, and scientific investment decisions.

Suggested Citation

  • Weihan Zhao & Jianing Zhang, 2024. "Investor Attention and Stock Liquidity in the Chinese Market," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(1), pages 65-82, February.
    • Handle: RePEc:kap:iaecre:v:30:y:2024:i:1:d:10.1007_s11294-024-09885-2
    DOI: 10.1007/s11294-024-09885-2
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    References listed on IDEAS

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    1. Ruan, Xinfeng & Zhang, Jin E., 2016. "Investor attention and market microstructure," Economics Letters, Elsevier, vol. 149(C), pages 125-130.
    2. Tao Bing & Yian Cui & Lei Xie, 2021. "The Dynamic Effect of Public Information on Liquidity: From the Perspective of Limited Attention," Complexity, Hindawi, vol. 2021, pages 1-9, June.
    3. Ramos, Sofia B. & Latoeiro, Pedro & Veiga, Helena, 2020. "Limited attention, salience of information and stock market activity," Economic Modelling, Elsevier, vol. 87(C), pages 92-108.
    4. Abudy, Menachem Meni, 2020. "Retail investors’ trading and stock market liquidity," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Aouadi, Amal & Arouri, Mohamed & Roubaud, David, 2018. "Information demand and stock market liquidity: International evidence," Economic Modelling, Elsevier, vol. 70(C), pages 194-202.
    6. Bin Wang & Wen Long & Xianhua Wei, 2018. "Investor Attention, Market Liquidity and Stock Return: A New Perspective," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 8(3), pages 341-352, March.
    7. Xu, Liao & Zhang, Xuan & Zhao, Jing, 2023. "Limited investor attention and biased reactions to information: Evidence from the COVID-19 pandemic," Journal of Financial Markets, Elsevier, vol. 62(C).
    8. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    9. 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.
    10. 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.
    11. Ding, Rong & Hou, Wenxuan, 2015. "Retail investor attention and stock liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 12-26.
    12. Imane El Ouadghiri & Elias Erragragui & Jamil Jaballah & Jonathan Peillex, 2022. "Institutional investor attention and stock market volatility and liquidity: international evidence," Applied Economics, Taylor & Francis Journals, vol. 54(42), pages 4839-4854, September.
    13. 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.
    14. Bin Wang & Wen Long & Xianhua Wei, 2018. "Investor Attention, Market Liquidity and Stock Return: A New Perspective," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 8(3), pages 341-352.
    15. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    16. Adachi, Yuta & Masuda, Motoki & Takeda, Fumiko, 2017. "Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 243-257.
    17. Choi, Hyungeun, 2021. "Investor attention and bitcoin liquidity: Evidence from bitcoin tweets," Finance Research Letters, Elsevier, vol. 39(C).
    18. Wang, Hua & Xu, Liao & Sharma, Susan Sunila, 2021. "Does investor attention increase stock market volatility during the COVID-19 pandemic?," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    19. Dan Yang & Tingyu Ma & Yuetang Wang & Guojun Wang, 2021. "Does Investor Attention Affect Stock Trading and Returns? Evidence from Publicly Listed Firms in China," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(4), pages 368-381, October.
    20. Zhang, Bing & Wang, Yudong, 2015. "Limited attention of individual investors and stock performance: Evidence from the ChiNext market," Economic Modelling, Elsevier, vol. 50(C), pages 94-104.
    21. Chen, Xing & Diao, Xundi & Wu, Chongfeng, 2022. "Heterogeneous investor attention and post earnings announcement drift: Evidence from China," Economic Modelling, Elsevier, vol. 110(C).
    22. Dzielinski, Michal, 2012. "Measuring economic uncertainty and its impact on the stock market," Finance Research Letters, Elsevier, vol. 9(3), pages 167-175.
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