IDEAS home Printed from https://ideas.repec.org/p/rru/oapubs/10197-11286.html

Sovereign bond return prediction with realized higher moments

Author

Listed:
  • Harald Kinateder
  • Vassilios G. Papavassiliou

Abstract

This paper analyzes whether realized higher moments are able to predict out-of-sample sovereign bond returns using high-frequency data from the European bond market. We study bond return predictability over tranquil and crisis periods and across core and periphery markets at the index and country level. We provide fresh evidence that realized kurtosis is the dominant predictor of subsequent returns among higher moments and other predictors such as CDS spreads, short-term interest rates and implied stock market volatility. Our findings further underline that sovereign bond return predictability is stronger during crisis periods and more pronounced for bonds of lower credit ratings.

Suggested Citation

  • Harald Kinateder & Vassilios G. Papavassiliou, 2019. "Sovereign bond return prediction with realized higher moments," Open Access publications 10197/11286, Research Repository, University College Dublin.
  • Handle: RePEc:rru:oapubs:10197/11286
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10197/11286
    File Function: Open Access version, 2019
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:rru:oapubs:10197/11286. 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: Joseph Greene (email available below). General contact details of provider: http://researchrepository.ucd.ie .

    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.