IDEAS home Printed from https://ideas.repec.org/a/bok/journl/v17y2011i3p89-130.html
   My bibliography  Save this article

Analysis on the Effect of Foreign Factors on the Korean Bond market and Prediction using Two-country Nelson-Siegel Model (in Korean)

Author

Listed:
  • Do-wan Kim

    (Department of Economics, Korea University)

Abstract

Since the foreign exchange crisis in 1997, the Korean economy has been transformed to become more exposed to global economic situation. This paper aims at empirically verifying the impact of foreign factors on the Korean bond market with two-country Nelson-Siegel model. The estimation result indicates that foreign factors, along with domestic factors, have significant effects on the yield curve of Korea. From variance decomposition analysis, it is found that the slope factor of the yield curve, which is related business cycle, is affected the most by the foreign factors. Additionally, this paper attempts to verify the predictive power of foreign factors to the future Korean spot rate. To serve its purpose, it exploits out-of-sample forecasting with data from Jan. 2006 to Dec 2010. According to the modified Diebold & Mariano test, the two-country Nelson-Siegel model has a statistically superior predictive power to the conventional Nelson-Siegel model at the 6-month-ahead prediction with less than three year maturities. In conclusion, it is necessary to have foreign factors additionally considered for effective prediction of Korean spot rates with short-term and mid-term maturity.

Suggested Citation

  • Do-wan Kim, 2011. "Analysis on the Effect of Foreign Factors on the Korean Bond market and Prediction using Two-country Nelson-Siegel Model (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 17(3), pages 89-130, September.
  • Handle: RePEc:bok:journl:v:17:y:2011:i:3:p:89-130
    as

    Download full text from publisher

    File URL: http://imer.bok.or.kr/attach/imer_kor/2545/2013/12/1386310634710.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Yield curve; Foreign factor; Nelson-Siegel model; Forecasting;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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

    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:bok:journl:v:17:y:2011:i:3:p:89-130. 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: Economic Research Institute (email available below). General contact details of provider: https://edirc.repec.org/data/imbokkr.html .

    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.