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The Effects of Individual Investors' Attention on Stock Returns: Evidence from the ChiNext Market

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  • Xianming Fang
  • Yu Jiang
  • Zhijun Qian

Abstract

We propose three hypotheses regarding the effects of individual investors' attention on stock returns according to special features of China's stock market. We adopt the Baidu index as the proxy for individual investors' attention to stocks. Empirical tests of the three hypotheses are based on sample data collected from the ChiNext market. Results show that individual investors' attention and market return have joint positive effects on short-term stock returns. Furthermore, high individual investors' attention to IPO stocks leads to high first-day returns but low long-term returns following the first trading day.

Suggested Citation

  • Xianming Fang & Yu Jiang & Zhijun Qian, 2014. "The Effects of Individual Investors' Attention on Stock Returns: Evidence from the ChiNext Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(S3), pages 158-168.
    • Handle: RePEc:mes:emfitr:v:50:y:2014:i:s3:p:158-168
    DOI: 10.2753/REE1540-496X5003S309
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    Cited by:

    1. Jing Zhou & Silin Ye & Wei Lan & Yunwen Jiang, 2021. "The effect of social media on corporate violations: Evidence from Weibo posts in China," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 966-988, September.
    2. Alexey Mikhaylov & Hasan Dinçer & Serhat Yüksel, 2023. "Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of MF-X-DMA and golden cut bipolar q-ROFSs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    3. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
    4. Jingjian, Si & Xiangyun, Gao & Jinsheng, Zhou & Anjian, Wang & Xiaotian, Sun & Yiran, Zhao & Hongyu, Wei, 2023. "The impact of oil price shocks on energy stocks from the perspective of investor attention," Energy, Elsevier, vol. 278(PB).
    5. Afees A. Salisu & Ahamuefula E. Ogbonna & Idris Adediran, 2021. "Stock‐induced Google trends and the predictability of sectoral stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 327-345, March.
    6. Emre Cevik & Buket Kirci Altinkeski & Emrah Ismail Cevik & Sel Dibooglu, 2022. "Investor sentiments and stock markets during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
    7. Yajie Qi & Huajiao Li & Sui Guo & Sida Feng, 2019. "Dynamic Transmission of Correlation between Investor Attention and Stock Price: Evidence from China’s Energy Industry Typical Stocks," Complexity, Hindawi, vol. 2019, pages 1-15, December.
    8. Zhang, Xiaotao & Wang, Ziqiao & Hao, Jing & He, Feng, 2022. "Price limit and stock market quality: Evidence from a quasi-natural experiment in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    9. Zhang, Yongjie & Chu, Gang & Shen, Dehua, 2021. "The role of investor attention in predicting stock prices: The long short-term memory networks perspective," Finance Research Letters, Elsevier, vol. 38(C).
    10. Tang, Siyuan, 2023. "Price limit performance: New evidence from a quasi-natural experiment in China's ChiNext market," International Review of Financial Analysis, Elsevier, vol. 89(C).
    11. Hui HONG & Shulin XU & Chien-Chiang LEE, 2020. "Investor Herding in the China Stock Market: An Examination of ChiNext," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 47-61, December.

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