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Investor Attention and Stock Market Activities: New Evidence from Panel Data

Author

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  • Chaiyuth Padungsaksawasdi

    (Thammasat Business School, Department of Finance, Thammasat University, Bangkok 10200, Thailand)

  • Sirimon Treepongkaruna

    (University of Western Australia Business School, Accounting and Finance, The University of Western Australia, 6009 Perth, Australia)

  • Robert Brooks

    (Monash Business School, Department of Econometrics and Business Statistics, Monash University, Clayton VIC 3800, Australia)

Abstract

Using the panel vector autoregression (VAR) method, this paper documents relationships between investor attention and stock market activities; i.e., return, volatility, and trading volume, respectively. In sum, bidirectional dynamic interdependence of the SVI–stock market activities relationship exists, in which the SVI–trading volume relationship shows the strongest evidence. This is consistent with prior literature using trading volume as a proxy of investor attention. However, the relationships in the developed and developing markets are statistically significantly different. The stock markets in the developed markets over-react more to the search volume than those in the developing markets. We postulate that investor attention is one of the key elements in asset pricing in stock markets.

Suggested Citation

  • Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
  • Handle: RePEc:gam:jijfss:v:7:y:2019:i:2:p:30-:d:239245
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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. Shifen Zhou & Xiaojun Liu, 2022. "Internet postings and investor herd behavior: evidence from China’s open-end fund market," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    3. 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.
    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. Batrancea Larissa, 2020. "Stock Market Reactions To Covid-19: The Case Of Nyse," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 17-23, December.
    6. José Emilio Farinós & Begoña Herrero & Miguel Ángel Latorre, 2021. "Investor Inattention to All-Cash Acquisition Announcements: A Joint Day-Time Analysis in the Spanish Market," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    7. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna, 2023. "Investor Attention and Global Stock Market Volatility: Evidence from COVID-19," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(1), pages 85-104, March.
    8. Glenn Kit Foong Ho & Sirimon Treepongkaruna & Marvin Wee & Chaiyuth Padungsaksawasdi, 2022. "The effect of short selling on volatility and jumps," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 34-52, February.

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