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Investor Attention and Stock Returns: International Evidence

Author

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  • Liyan Han
  • Ziying Li
  • Libo Yin

Abstract

This article examines the asymmetric/discriminative effects of investor attention on expected stock returns among 15 markets through economic expansions and recessions. The predictive power of attention tends to be short-lived and weakens the autocorrelation within returns. Accounting for business cycles not only confirms that the predictability of attention endures with volatility but also explicates the asymmetric effects that underlying pessimism functions better. International evidence contributes to the literature on investor attention and reveals the discrepant effects of attention with three levels of market efficiency: semi-strong, stronger than semi-strong, and weak.

Suggested Citation

  • Liyan Han & Ziying Li & Libo Yin, 2018. "Investor Attention and Stock Returns: International Evidence," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(14), pages 3168-3188, November.
    • Handle: RePEc:mes:emfitr:v:54:y:2018:i:14:p:3168-3188
    DOI: 10.1080/1540496X.2017.1413980
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    Cited by:

    1. A. Sarath Babu, 2019. "Investors` attention and American depository receipts pricing: evidence from Indian stocks," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(12), pages 381-386, December.
    2. 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.
    3. Cai, Yi & Tang, Zhenpeng & Chen, Ying, 2024. "Can real-time investor sentiment help predict the high-frequency stock returns? Evidence from a mixed-frequency-rolling decomposition forecasting method," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    4. 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.
    5. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Saleem, Owais & Adeoye, Habeeb A., 2022. "Asymmetric connectedness between Google-based investor attention and the fourth industrial revolution assets: The case of FinTech and Robotics & Artificial intelligence stocks," Technology in Society, Elsevier, vol. 68(C).
    6. Su, Fei & Wang, Xinyi, 2021. "Investor co-attention and stock return co-movement: Evidence from China’s A-share stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

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