IDEAS home Printed from https://ideas.repec.org/a/ekn/ekonom/v10y2007i1p42-65.html
   My bibliography  Save this article

Does thin Trading Impact Upon the Measurement of Herding? Evidence from Bulgaria

Author

Listed:
  • Vasileios Kallinterakis

    (University of Durham Business School, Department of Economics and Finance, Durham, United Kingdom)

  • Tatyana Kratunova

    (Naba Invest JSK Varna, Bulgaria)

Abstract

Research in Finance has revealed the presence of higher hearding levels in emerging capital markets compared to their developed counterparts. However, although emerging markets are often typified by thin trading, the latter has never been accounted for in herding estimations. We address this issue for the first time by testing for herding in the Bulgarian market using the methodology proposed by Hwang and Salmon (2004). Results indicate that thin trading leads to an underestimated picture of herding, thus producing evidence in favor of the impact of thin trading upon the measurement of herding.

Suggested Citation

  • Vasileios Kallinterakis & Tatyana Kratunova, 2007. "Does thin Trading Impact Upon the Measurement of Herding? Evidence from Bulgaria," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 10(1), pages 42-65, Summer.
  • Handle: RePEc:ekn:ekonom:v:10:y:2007:i:1:p:42-65
    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.

    Citations

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


    Cited by:

    1. Pegah Dehghani & Ros Zam Zam Sapian, 2014. "Sectoral herding behavior in the aftermarket of Malaysian IPOs," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 227-246, July.
    2. Sunil Poshakwale & Anandadeep Mandal, 2014. "Investor Behaviour and Herding: Evidence from the National Stock Exchange in India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 13(2), pages 197-216, August.
    3. Yi-Chang Chen & Hung-Che Wu & Jen-Jsung Huang, 2017. "Herd Behavior and Rational Expectations: A Test of China's Market Using Quantile Regression," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 649-663.
    4. Andreea Pece, 2014. "The Herding Behavior On Small Capital Markets: Evidence From Romania," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 795-801, July.
    5. Guglielmo Maria Caporale & Nikolaos Philippas & Fotini Economou, 2008. "Herding behaviour in extreme market conditions: the case of the Athens Stock Exchange," Economics Bulletin, AccessEcon, vol. 7(17), pages 1-13.
    6. 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.
    7. M.V. Lakshman & Sankarshan Basu & R. Vaidyanathan, 2013. "Market-wide Herding and the Impact of Institutional Investors in the Indian Capital Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 12(2), pages 197-237, August.
    8. Coskun, Esra Alp & Lau, Chi Keung Marco & Kahyaoglu, Hakan, 2020. "Uncertainty and herding behavior: evidence from cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 54(C).
    9. Stephanie Kremer & Dieter Nautz, 2013. "Short†term Herding of Institutional Traders: New Evidence from the German Stock Market," European Financial Management, European Financial Management Association, vol. 19(4), pages 730-746, September.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:ekn:ekonom:v:10:y:2007:i:1:p:42-65. 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: Managing Editor (email available below). General contact details of provider: https://edirc.repec.org/data/cyessea.html .

    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.