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Herding among local individual investors: Evidence from online and offline trading

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  • Choi, Sujung

Abstract

We examine the hypothesis of whether an investor’s decision, such as buying or selling a stock in a given day or month, correlates with the decisions of his or her neighbors. Using the LSV (1992) herding measure, we find that local offline investors show stronger herding than investors across the country.

Suggested Citation

  • Choi, Sujung, 2016. "Herding among local individual investors: Evidence from online and offline trading," Economics Letters, Elsevier, vol. 144(C), pages 4-6.
    • Handle: RePEc:eee:ecolet:v:144:y:2016:i:c:p:4-6
    DOI: 10.1016/j.econlet.2016.04.030
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    References listed on IDEAS

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    1. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    2. Daniel Dorn & Gur Huberman & Paul Sengmueller, 2008. "Correlated Trading and Returns," Journal of Finance, American Finance Association, vol. 63(2), pages 885-920, April.
    3. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    4. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
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    Cited by:

    1. Bentes, Sónia R., 2021. "How COVID-19 has affected stock market persistence? Evidence from the G7’s," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    2. Ibrahim Filiz & Thomas Nahmer & Markus Spiwoks & Kilian Bizer, 2018. "Portfolio diversification: the influence of herding, status-quo bias, and the gambler’s fallacy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 167-205, May.
    3. Rui Menezes & Sonia Bentes, 2016. "Hysteresis and Duration Dependence of Financial Crises in the US: Evidence from 1871-2016," Papers 1610.00259, arXiv.org.
    4. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    5. Bentes, Sónia R., 2021. "On the hysteresis of financial crises in the US: Evidence from S&P 500," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    6. Zheng, Zhigang & Tang, Ke & Liu, Yaodong & Guo, Jie Michael, 2021. "Gender and herding," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 379-400.
    7. Ivasiuc Arina, 2023. "Herding Behavior in Frontier Nordic Countries," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 68(1), pages 21-41, April.
    8. Muskan Sachdeva & Ritu Lehal & Sanjay Gupta & Aashish Garg, 2021. "What make investors herd while investing in the Indian stock market? A hybrid approach," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(1), pages 19-37, September.
    9. R. Eki Rahman & Ermawati, 2020. "An Analysis Of Herding Behavior In The Stock Market: A Case Study Of The Asean-5 And The United States," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(3), pages 297-318, October.

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    More about this item

    Keywords

    Local herding; Individual investors; Online versus offline trading;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G19 - Financial Economics - - General Financial Markets - - - Other

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