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Investor Attention and Global Stock Returns

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  • Tao Chen

Abstract

The author constructs a direct measure of investor attention toward global benchmark indices using Google search volume and empirically examines its impact on stock returns. The author documents a significant decrease in index returns following an increase in investor attention. This result is consistent with the investor recognition hypothesis (Merton [1987]) and the finding of no-media premium in the United States (Fang and Peress [2009]). Additional tests suggest that the attention effect may be attributable to local and U.S. investors. Finally, such negative effect of attention is found to be strengthened (weaken) in the market with positive (negative) sentiments.

Suggested Citation

  • Tao Chen, 2017. "Investor Attention and Global Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(3), pages 358-372, July.
    • Handle: RePEc:taf:hbhfxx:v:18:y:2017:i:3:p:358-372
    DOI: 10.1080/15427560.2017.1331235
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    Citations

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    Cited by:

    1. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    2. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
    3. Shuhong Wang & Xiaojing Yi & Malin Song, 2023. "The interrelationship of air quality, investor sentiment, and stock market liquidity: a review of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10955-10973, October.
    4. Smales, L.A., 2022. "Investor attention in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 79(C).
    5. Chong, Oiping & Bany- Ariffin, A.N. & Matemilola, Bolaji Tunde & McGowan, C.B., 2020. "Can China’s cross-sectional dispersion of stock returns influence the herding behaviour of traders in other local markets and China’s trading partners?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    6. Minghua Dong & Xiong Xiong & Xiao Li & Dehua Shen, 2018. "Weibo Attention and Stock Market Performance: Some Empirical Evidence," Complexity, Hindawi, vol. 2018, pages 1-8, September.
    7. Duc Dang Thi Viet & Hoai Nguyen Thu & Nguyen Van Phuoc & Nguyen Dang Phong & Anh Nguyen Huong & Hai Ho Hong, 2024. "Google Search intensity and stock returns in frontier markets: Evidence from the Vietnamese market," Economics and Business Review, Sciendo, vol. 10(1), pages 30-56, April.
    8. Imene Ben El Hadj Said & Skander Slim, 2022. "The Dynamic Relationship between Investor Attention and Stock Market Volatility: International Evidence," JRFM, MDPI, vol. 15(2), pages 1-25, February.
    9. 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.
    10. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    11. Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    12. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    13. Dong, Dayong & Wu, Keke & Fang, Jianchun & Gozgor, Giray & Yan, Cheng, 2022. "Investor attention factors and stock returns: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    14. 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).
    15. Chen, Zhongdong & Schmidt, Adam & Wang, Jin’ai, 2021. "Retail investor risk-seeking, attention, and the January effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    16. Qian Chen & Xiang Gao & Jianming Mo & Zhouling Xu, 2022. "Market Reaction to Local Attention around Earnings Announcements in China: Evidence from Internet Search Activity," IJFS, MDPI, vol. 10(4), pages 1-26, October.
    17. Oi-Ping Chong & A.N. Bany-Ariffin & Annuar Md Nassir & Junaina Muhammad, 2019. "An Empirical Study of Herding Behaviour in China’s A-Share and B-Share Markets: Evidence of Bidirectional Herding Activities," Capital Markets Review, Malaysian Finance Association, vol. 27(2), pages 37-57.
    18. Cai, Haidong & Jiang, Ying & Liu, Xiaoquan, 2022. "Investor attention, aggregate limit-hits, and stock returns," International Review of Financial Analysis, Elsevier, vol. 83(C).
    19. Ahmad, Fawad & Oriani, Raffaele, 2022. "Investor attention, information acquisition, and value premium: A mispricing perspective," International Review of Financial Analysis, Elsevier, vol. 79(C).
    20. Huang, Yisu & Ma, Feng & Bouri, Elie & Huang, Dengshi, 2023. "A comprehensive investigation on the predictive power of economic policy uncertainty from non-U.S. countries for U.S. stock market returns," International Review of Financial Analysis, Elsevier, vol. 87(C).
    21. Zheng, Yan & Wen, Fenghua & Deng, Hanshi & Zeng, Aiqing, 2022. "The relationship between carbon market attention and the EU CET market: Evidence from different market conditions," Finance Research Letters, Elsevier, vol. 50(C).
    22. Wang, Chen & Shen, Dehua & Li, Youwei, 2022. "Aggregate Investor Attention and Bitcoin Return: The Long Short-term Memory Networks Perspective," Finance Research Letters, Elsevier, vol. 49(C).

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