IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-01026483.html
   My bibliography  Save this paper

What drives the herding behavior of individual investors?

Author

Listed:
  • M. Merli

    (LARGE - Laboratoire de recherche en gestion et économie - Université Louis Pasteur - Strasbourg I - Université Robert Schuman - Strasbourg III)

  • T. Roger

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

Abstract

This article intends to provide answers concerning what drives individual investor herding behavior. Our empirical study uses transaction records of 87,373 French individual investors for the period 1999-2006. In a ?first part, we show - using both the traditional Lakonishok et al. (1992) and the more recent Frey et al. (2007) measures - that herding is prevalent and strong among French individual investors. We then show that herding is persistent: stocks on which investors concentrate their trades at time t are more likely to be the stocks on which investors herd at time t+1. In a second part, we focus on the motivations of individual herding behavior. We introduce an investor specific measure of herding which allows us to track the persistence in herding of individual investors. Our results highlight that this behavior is influenced by investor-specifi?c characteristics. We also reveal the fact that individual herding behavior is strongly and negatively linked with investors own past performance.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • M. Merli & T. Roger, 2013. "What drives the herding behavior of individual investors?," Post-Print halshs-01026483, HAL.
  • Handle: RePEc:hal:journl:halshs-01026483
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salem, Razan, 2019. "Examining the investment behavior of Arab women in the stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 151-160.
    2. Caglayan, Mustafa & Talavera, Oleksandr & Zhang, Wei, 2021. "Herding behaviour in P2P lending markets," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 27-41.
    3. Talpsepp, Tõnn & Tänav, Anne-Liis, 2021. "Do gender, age and education affect herding in the real estate market?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    4. Łukasz Dopierała & Magdalena Mosionek-Schweda, 2020. "Pension Fund Management, Investment Performance, and Herding in the Context of Regulatory Changes: New Evidence from the Polish Pension System," Risks, MDPI, vol. 9(1), pages 1-19, December.
    5. Saeed Ahmad Sabir & Hisham Bin Mohammad & Hanita Binti Kadir Shahar, 2019. "The Role of Overconfidence and Past Investment Experience in Herding Behaviour with a Moderating Effect of Financial Literacy: Evidence from Pakistan Stock Exchange," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(4), pages 480-490, April.
    6. Samuel Tabot Enow, 2024. "Investigating Overreaction and Underreaction in Initial Public Offerings," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 172-177, July.
    7. Ali, Mazhar & Amir, Dr.Huma & Shamsi, Dr.Aamir, 2021. "Consumer Herding Behavior in Online Buying: A Literature Review," MPRA Paper 107435, University Library of Munich, Germany.
    8. D’Hondt, Catherine & Merli, Maxime & Roger, Tristan, 2022. "What drives retail portfolio exposure to ESG factors?," Finance Research Letters, Elsevier, vol. 46(PB).
    9. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).
    10. Li, Wei & Rhee, Ghon & Wang, Steven Shuye, 2017. "Differences in herding: Individual vs. institutional investors," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 174-185.
    11. Tihana Škrinjarić, 2018. "Revisiting Herding Investment Behavior on the Zagreb Stock Exchange: A Quantile Regression Approach," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(2), pages 119-162, December.
    12. Gandal, Neil & Bar-Gill, Sagit, 2017. "Online Exploration, Content Choice & Echo Chambers: An Experiment," CEPR Discussion Papers 11909, C.E.P.R. Discussion Papers.
    13. Andrey Kudryavtsev, 2019. "Short-Term Herding Effect On Market Index Returns," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-16, March.
    14. Joyita Banerji & Kaushik Kundu & Parveen Ahmed Alam, 2023. "The Impact of Behavioral Biases on Individuals’ Financial Choices under Uncertainty: An Empirical Approach," Business Perspectives and Research, , vol. 11(3), pages 401-424, September.
    15. 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.
    16. Nilkanth Kumar & Nirmal Kumar Raut & Suchita Srinivasan, 2022. "Herd behavior in the choice of motorcycles: Evidence from Nepal," CER-ETH Economics working paper series 22/366, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    17. Liu, Tengdong & Zheng, Dazhi & Zheng, Suyan & Lu, Yang, 2023. "Herding in Chinese stock markets: Evidence from the dual-investor-group," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    18. Mavruk, Taylan, 2022. "Analysis of herding behavior in individual investor portfolios using machine learning algorithms," Research in International Business and Finance, Elsevier, vol. 62(C).
    19. Zheng, Zhigang & Tang, Ke & Liu, Yaodong & Guo, Jie Michael, 2021. "Gender and herding," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 379-400.
    20. Mai, Nhat Chi, 2020. "Behaviours In The Stock Market - An Empirical Study," OSF Preprints ypq8m, Center for Open Science.
    21. Frey, Stefan & Herbst, Patrick & Walter, Andreas, 2014. "Measuring mutual fund herding – A structural approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 219-239.
    22. Hsieh, Shu-Fan & Chan, Chia-Ying & Wang, Ming-Chun, 2020. "Retail investor attention and herding behavior," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 109-132.
    23. Anna Blajer-Gołębiewska, 2021. "Individual corporate reputation and perception of collective corporate reputation regarding stock market investments," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-21, September.
    24. Gemayel, Roland & Preda, Alex, 2024. "Herding in the cryptocurrency market: A transaction-level analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    25. Catherine D’hondt & Maxime Merli & Tristan Roger, 2021. "What drives retail portfolio exposure to ESG factors?," Post-Print hal-03373287, HAL.

    More about this item

    Keywords

    drives the herding behavior; individual investors;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-01026483. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.