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Does Asymmetric Information Drive Herding? An Empirical Analysis

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  • Yaseen S. Alhaj-Yaseen
  • Xi Rao

Abstract

The authors explore the relative significance of information and its role in herding formation among investors. They investigate this relationship at 3 scales: the market, investor, and individual stock levels. At the aggregate market level, empirical evidence obtained suggests that a more transparent environment is likely to mitigate the extent of herding intensity, mainly as a result of a decay in non–information-based “intentional” herding. At the investor level, the authors find strong evidence of asymmetric herding between investors with heterogenous information (arbitragers and noise traders). Finally, at the stock individual level, the present results show a positive and statistically significant relationship between herding intensity and 5 firm-specific measures of information asymmetry.

Suggested Citation

  • Yaseen S. Alhaj-Yaseen & Xi Rao, 2019. "Does Asymmetric Information Drive Herding? An Empirical Analysis," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(4), pages 451-470, October.
    • Handle: RePEc:taf:hbhfxx:v:20:y:2019:i:4:p:451-470
    DOI: 10.1080/15427560.2019.1573822
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    Cited by:

    1. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    2. Imran Yousaf & Shoaib Ali & Elie Bouri & Anupam Dutta, 2021. "Herding on Fundamental/Nonfundamental Information During the COVID-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market," SAGE Open, , vol. 11(3), pages 21582440211, July.
    3. Lulin Zhou & Maxwell O. Antwi & Henry A. Antwi & Ama Boafo‐Arthur & Tehzeeb Mustafa, 2020. "Endangering China's environmental health security goals through negative environmental investor behaviours," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(6), pages 1398-1411, November.
    4. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).

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