IDEAS home Printed from https://ideas.repec.org/a/taf/ufajxx/v77y2021i3p133-155.html
   My bibliography  Save this article

Predicting Bond Returns: 70 Years of International Evidence

Author

Listed:
  • Guido Baltussen
  • Martin Martens
  • Olaf Penninga

Abstract

We use 70 years of international data from the major bond markets to examine bond return predictability through in-sample and out-of-sample tests. Our results reveal economically strong and statistically significant bond return predictability. This finding is robust over markets and time periods, including 30 years of out-of-sample data, prolonged periods of rising or falling rates, and a dataset of nine additional countries. Furthermore, the results are not explained by market or macroeconomic risks, nor can they be easily attributed to transaction costs or other investment frictions. These results reveal predictable dynamics in government bond returns relevant for academics and practitioners.

Suggested Citation

  • Guido Baltussen & Martin Martens & Olaf Penninga, 2021. "Predicting Bond Returns: 70 Years of International Evidence," Financial Analysts Journal, Taylor & Francis Journals, vol. 77(3), pages 133-155, July.
  • Handle: RePEc:taf:ufajxx:v:77:y:2021:i:3:p:133-155
    DOI: 10.1080/0015198X.2021.1908775
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0015198X.2021.1908775
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0015198X.2021.1908775?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:ufajxx:v:77:y:2021:i:3:p:133-155. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/ufaj20 .

    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.