IDEAS home Printed from https://ideas.repec.org/a/sek/jijoes/v7y2018i2p87-106.html
   My bibliography  Save this article

Determinants of the Government Bond Yield: Evidence from a Highly Euroised Small Open Economy

Author

Listed:
  • Maja Mihelja ?aja

    (Faculty of Economics and Business Zagreb)

  • Drago Jakov?evi?

    (Faculty of Economics and Business Zagreb)

  • Lucija Vi?i?

    (Faculty of Economics and Business Zagreb)

Abstract

This paper analyses the relationship between bond market, macroeconomic fundamentals and a set of additional covariates in the Republic of Croatia, a small open economy with a very high and persistent level of euroization. The sample ranges from the year 2001 to 2017. Ordinary least squares regression is applied on the quarterly dataset to examine the major drivers of nominal yields of government bonds, whereas Multiple Breakpoint Tests are used to determine structural breaks in the variables. The results corroborate theoretical knowledge and suggest a significant effect of fiscal and financial determinants on bond yields. Variables presenting macroeconomic fundamentals explain a substantial part of Croatian trends. Therefore, policymakers seeking to improve macroeconomic conditions should learn from multi-causal studies involving these variables before setting their policies.

Suggested Citation

  • Maja Mihelja ?aja & Drago Jakov?evi? & Lucija Vi?i?, 2018. "Determinants of the Government Bond Yield: Evidence from a Highly Euroised Small Open Economy," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 7(2), pages 87-106, November.
  • Handle: RePEc:sek:jijoes:v:7:y:2018:i:2:p:87-106
    as

    Download full text from publisher

    File URL: https://iises.net/international-journal-of-economic-sciences/publication-detail-6952
    Download Restriction: no

    File URL: https://iises.net/international-journal-of-economic-sciences/publication-detail-6952?download=5
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    government bonds; macroeconomic fundamentals; structural changes; linear regression; The Republic of Croatia;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:sek:jijoes:v:7:y:2018:i:2:p:87-106. 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: Klara Cermakova (email available below). General contact details of provider: https://ijoes.iises.net/ .

    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.