IDEAS home Printed from https://ideas.repec.org/a/vrs/zirebs/v27y2024i2p27-41n1002.html
   My bibliography  Save this article

Yield Curve Estimation Based on Government Security Prices in the Croatian Financial Market

Author

Listed:
  • Orlović Zrinka

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia.)

  • Zoričić Davor

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia.)

  • Golubić Zrinka Lovretin

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia.)

Abstract

This article investigates the estimation of the yield curve based on government security prices using the Nelson-Siegel model in the Croatian financial market. The yield curve was estimated for samples of government securities with and without currency clauses. Since the Croatian financial market is less developed characterized by limited trading activity in government bonds, Treasury bills were also included in the analysis. To examine the difference in the estimation of yield curve parameters between a less developed and a developed market, the U.S. sample was considered. The yield curve was estimated for the full US sample and for artificially created U.S. samples corresponding to the Croatian samples of government bonds with and without currency clauses. Despite the less developed Croatian financial market, it is possible to estimate the yield curve and derive meaningful economic interpretations from the estimates.

Suggested Citation

  • Orlović Zrinka & Zoričić Davor & Golubić Zrinka Lovretin, 2024. "Yield Curve Estimation Based on Government Security Prices in the Croatian Financial Market," Zagreb International Review of Economics and Business, Sciendo, vol. 27(2), pages 27-41.
  • Handle: RePEc:vrs:zirebs:v:27:y:2024:i:2:p:27-41:n:1002
    DOI: 10.2478/zireb-2024-0016
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/zireb-2024-0016
    Download Restriction: no

    File URL: https://libkey.io/10.2478/zireb-2024-0016?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
    ---><---

    More about this item

    Keywords

    Nelson-Siegel model; nonlinear optimization; prices of government securities; U.S. government securities;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G1 - Financial Economics - - General Financial Markets
    • 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:vrs:zirebs:v:27:y:2024:i:2:p:27-41:n:1002. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.