IDEAS home Printed from
   My bibliography  Save this paper

Measuring herding intensity: a hard task


  • Raphaëlle Bellando

    () (LEO - Laboratoire d'économie d'Orleans - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)


This paper addresses the traditional Lakonishok, Shleifer and Vishny (LSV) herding measure and points out its lack of internal consistency. Frey, Herbst and Walter (2007) have shown by empirical simulations that LSV is biased. We provide a formal explanation of this bias and propose a more appropriate measure of herding. We then turn to the properties of the new indicator proposed by Frey, Herbst and Walter (2007): we show that it is accurate only under very strong assumptions, and propose a corrected version of their indicator. We also show that the real herding value is within an interval bounded by LSV and FHW. Finally, as both corrected measures require a prior knowledge of some parameters of the distribution, we conclude that measuring accurately herding intensity is a much more difficult task than considered up to now in the empirical literature.

Suggested Citation

  • Raphaëlle Bellando, 2010. "Measuring herding intensity: a hard task," Working Papers halshs-00517610, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00517610
    Note: View the original document on HAL open archive server:

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. Gleason, Kimberly C. & Mathur, Ike & Peterson, Mark A., 2004. "Analysis of intraday herding behavior among the sector ETFs," Journal of Empirical Finance, Elsevier, vol. 11(5), pages 681-694, December.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. 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.
    4. Hwang, Soosung & Salmon, Mark, 2004. "Market stress and herding," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 585-616, September.
    5. Eduardo Borensztein & R. Gaston Gelos, 2003. "A Panic-Prone Pack? The Behavior of Emerging Market Mutual Funds," IMF Staff Papers, Palgrave Macmillan, vol. 50(1), pages 1-3.
    6. 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.
    7. Sunil Sharma & Sushil Bikhchandani, 2000. "Herd Behavior in Financial Markets; A Review," IMF Working Papers 00/48, International Monetary Fund.
    8. 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.
    9. Andreas Walter & Friedrich Moritz Weber, 2006. "Herding in the German Mutual Fund Industry," European Financial Management, European Financial Management Association, vol. 12(3), pages 375-406.
    10. Svitlana Voronkova & Martin T. Bohl, 2005. "Institutional Traders' Behavior in an Emerging Stock Market: Empirical Evidence on Polish Pension Fund Investors," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7-8), pages 1537-1560.
    11. Demirer, RIza & Kutan, Ali M., 2006. "Does herding behavior exist in Chinese stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 123-142, April.
    12. Sam Wylie, 2005. "Fund Manager Herding: A Test of the Accuracy of Empirical Results Using U.K. Data," The Journal of Business, University of Chicago Press, vol. 78(1), pages 381-403, January.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Raphaëlle Bellando, 2012. "The bias in a standard measure of herding," Economics Bulletin, AccessEcon, vol. 32(2), pages 1537-1544.
    2. Mohamed El Hedi Arouri & Raphaëlle Bellando & Sébastien Ringuedé & Anne-Gaël Vaubourg, 2013. "Herding in French stock markets: Empirical evidence from equity mutual funds," Post-Print halshs-01066726, HAL.
    3. 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.

    More about this item


    herding; herding measures; fund managers; mimétisme; mesures de mimétismes; fonds d'investissement;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:wpaper:halshs-00517610. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.