IDEAS home Printed from
   My bibliography  Save this article

European sovereign bond spreads: financial integration and market conditions


  • Dimitris A. Georgoutsos
  • Petros M. Migiakis


In the present article, we examine the dynamics of euro-area sovereign bond yield spreads focusing on issues related to financial integration and market conditions. The property of a root falling near the unity threshold, in the data generation process of the underlying bond yields, marks the necessity for careful econometric specification. Thus, we formulate the sovereign bond yield spreads, for 10 Economic and Monetary Union (EMU), countries against the Bund as autoregressive processes with nonlinear properties, with the use of both Markov switching and smooth transition autoregression techniques. This way we examine, rather than assume, whether stable parity conditions existed in the underling bond yields and the effects of various events, for a period extending to early 1990s and the Maastricht Treaty. The results validate the presence of nonlinear characteristics in the stochastic processes of the series and that the case of a slow mean reverting process cannot be rejected irrespective of the regime we examine.

Suggested Citation

  • Dimitris A. Georgoutsos & Petros M. Migiakis, 2013. "European sovereign bond spreads: financial integration and market conditions," Applied Financial Economics, Taylor & Francis Journals, vol. 23(20), pages 1609-1621, October.
  • Handle: RePEc:taf:apfiec:v:23:y:2013:i:20:p:1609-1621
    DOI: 10.1080/09603107.2013.842637

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    File URL:
    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.


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

    Cited by:

    1. Muhammad Ali Nasir & Min Du, 2018. "Integration of Financial Markets in Post Global Financial Crises and Implications for British Financial Sector: Analysis Based on A Panel VAR Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 363-388, June.

    More about this item


    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:taf:apfiec:v:23:y:2013:i:20:p:1609-1621. 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: . 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.

    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: .

    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.