IDEAS home Printed from https://ideas.repec.org/a/kea/keappr/ker-199812-14-2-08.html
   My bibliography  Save this article

The Won/Dollar Exchange Rate Forecasting Models of the 1990s: Long Horizon Regression with Time Varying Coefficients

Author

Listed:
  • Yeonho Lee

    (Chungbuk National University)

  • Doo-Yull Choi

    (Korea Economic Research Institute)

Abstract

This study is concerned with the prediction of the won/dollar exchange rate using time varying coeflicient co-integrating models incorporated into long horizon regression. The bootstrapping result shows some predictable components in the won/dollar exchange rate. As the forecast horizon is set at longer periods of time, the time varying coeflicient exchange rate determination models generally yield better forecast performances than the ï¬ xed coeï¬ icient model, outperforming the random walk model. These results have been most apparent in the models composed only of Korea ’s macroeconomic variables, instead of the stylized monetary models composed of both US and Korean variables. However, including ï¬ xed exchange rate period data brings about a deterioration in forecast performance.

Suggested Citation

  • Yeonho Lee & Doo-Yull Choi, 1998. "The Won/Dollar Exchange Rate Forecasting Models of the 1990s: Long Horizon Regression with Time Varying Coefficients," Korean Economic Review, Korean Economic Association, vol. 14, pages 361-383.
  • Handle: RePEc:kea:keappr:ker-199812-14-2-08
    as

    Download full text from publisher

    File URL: http://keapaper.kea.ne.kr/RePEc/kea/keappr/KER-199812-14-2-08.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Exchange Rate Prediction; Long Horizon Regression with Time Varying Coefficients;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    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:kea:keappr:ker-199812-14-2-08. 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: KEA (email available below). General contact details of provider: https://edirc.repec.org/data/keaaaea.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.