IDEAS home Printed from
   My bibliography  Save this article

An Exchange Rate Forecasting Model when the Underlying Currency is Pegged to a Basket




An ARDL model is estimated and subsequently used to forecast the exchange rate of the Kuwaiti dinar (KD) against the U.S. dollar. It is demonstrated that this exchange rate is related to the exchange rates of the yen, mark and pound against the dollar in accordance with the arrangement of pegging the KD to a basket of currencies with undeclared components. It is also shown that market forces cause the exchange rate to deviate from the level implied by this arrangement. The proposed model outperforms the random walk and the forward rate in out-of-sample forecasting.

Suggested Citation

  • Moosa , Imad A. & Al-Loughani, Nabeel E., 2000. "An Exchange Rate Forecasting Model when the Underlying Currency is Pegged to a Basket," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 53(4), pages 537-550.
  • Handle: RePEc:ris:ecoint:0235

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications


    Access and download statistics


    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:ris:ecoint:0235. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Angela Procopio). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.