IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v58y2026i12p2263-2277.html

Unveiling the natural yield curve: estimation and policy implications from the case of Korea

Author

Listed:
  • Kyeongtak Do
  • Kwangyong Park

Abstract

We estimate the natural yield curve in Korea and analyse its implications for monetary policy to determine whether the effects of monetary policy are being effectively transmitted to market rates across various maturities. To achieve this, we extend the concept of the natural rate of interest to encompass the entire yield curve. To robustly estimate the natural yield curve, we utilize various models and specifications, such as the semi-structural model, the Time-Varying Parameter Vector Autoregressive model, and the linear state-space model. Our findings indicate declining trends in natural rates across all maturities in Korea, with fluctuations observed over different time periods. The analysis also sheds light on the financial conditions that prevailed during the 2021–23 tightening cycle.

Suggested Citation

  • Kyeongtak Do & Kwangyong Park, 2026. "Unveiling the natural yield curve: estimation and policy implications from the case of Korea," Applied Economics, Taylor & Francis Journals, vol. 58(12), pages 2263-2277, March.
  • Handle: RePEc:taf:applec:v:58:y:2026:i:12:p:2263-2277
    DOI: 10.1080/00036846.2025.2473749
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2025.2473749
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2025.2473749?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

    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:applec:v:58:y:2026:i:12:p:2263-2277. 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/RAEC20 .

    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.