IDEAS home Printed from https://ideas.repec.org/p/zbw/bamfin/13.html
   My bibliography  Save this paper

Institutional Herding in Bond Markets

Author

Listed:
  • Oehler, Andreas
  • Chao, George Goeth-Chi

Abstract

Recent research has shown that institutional herding is a relevant phenomenon in stock markets. Do institutional investors also follow each other in bond markets? This paper focuses on the German bond market and uses data from 57 German mutual funds that invest mainly in DM-denominated bonds, which represents 71% of the total market volume. Due to the variety and large number of bonds that exist, we do not expect mutual funds to herd with regard to separate bonds. We believe instead that bonds with the same characteristics such as interest rate, maturity, collateral, or issuer are considered to be equivalent by institutional investors. Consequently, we construct "bond groups" consisting of similar bonds and analyze herding at a "bond group" level. Our results indicate that there is strong evidence of herding, albeit it is weaker than in stock markets. Further analysis suggests that mutual funds do not place an equal weight on different bond characteristics. Nominal interest rates appear to be most important in the bond selection process.

Suggested Citation

  • Oehler, Andreas & Chao, George Goeth-Chi, 2000. "Institutional Herding in Bond Markets," Discussion Papers 13, University of Bamberg, Chair of Finance.
    • Handle: RePEc:zbw:bamfin:13
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/22491/1/bafifo13.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Mohamed AROURI & Raphaëlle BELLANDO & Sébastien RINGUEDE & Anne-Gaël VAUBOURG, 2009. "Herding by instutional investors: empirical evidence from french mutual funds," LEO Working Papers / DR LEO 700, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    2. 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.
    3. Raphaëlle Bellando, 2010. "Measuring herding intensity: a hard task," Working Papers halshs-00517610, HAL.
    4. Choi, Nicole & Skiba, Hilla, 2015. "Institutional herding in international markets," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 246-259.
    5. 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.
    6. Chia‐Chun Chiang & Greg Niehaus, 2020. "Correlated Trading by Life Insurers and Its Impact on Bond Prices," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 597-625, September.
    7. Chung, Chune Young & DeVault, Luke & Wang, Kainan, 2019. "Perceived information, short interest, and institutional demand," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 22-38.
    8. Ali GÜVERCİN, 2016. "Sentimental Herding: The Role of Regional and Global Shocks in Egyptian and Saudi Stock Markets," Sosyoekonomi Journal, Sosyoekonomi Society, issue 24(27).

    More about this item

    Keywords

    Mutual Funds; Herding; Imitation; Coordination; Behavioral Finance;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D7 - Microeconomics - - Analysis of Collective Decision-Making

    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:zbw:bamfin:13. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.uni-bamberg.de/en/bwl-finanz/ .

    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.