Advanced Search
MyIDEAS: Login

Adaptive Forecasting of Exchange Rates with Panel Data

Contents:

Author Info

  • Leonardo Morales-Arias
  • Alexander Dross
Registered author(s):

    Abstract

    This article investigates the statistical and economic implications of adaptive forecasting of exchange rates with panel data and alternative predictors. The candidate exchange rate predictors are drawn from (i) macroeconomic ‘fundamentals’, (ii) return/volatility of asset markets and (iii) cyclical and confidence indices. Exchange rate forecasts at various horizons are obtained from each of the potential predictors using single market, mean group and pooled estimates by means of rolling window and recursive forecasting schemes. The capabilities of single predictors and of adaptive techniques for combining the generated exchange rate forecasts are subsequently examined by means of statistical and economic performance measures. The forward premium and a predictor based on a Taylor rule yield the most promising forecasting results out of the macro ‘fundamentals’ considered. For recursive forecasting, confidence indices and volatility in-mean yield more accurate forecasts than most of the macro ‘fundamentals’. Adaptive forecast combinations techniques improve forecasting precision and lead to better market timing than most single predictors at higher horizons

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.ifw-members.ifw-kiel.de/publications/adaptive-forecasting-of-exchange-rates-with-panel-data/kwp_1656.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by Kiel Institute for the World Economy in its series Kiel Working Papers with number 1656.

    as in new window
    Length: 48 pages
    Date of creation: Oct 2010
    Date of revision:
    Handle: RePEc:kie:kieliw:1656

    Contact details of provider:
    Postal: Kiellinie 66, D-24105 Kiel
    Phone: +49 431 8814-1
    Fax: +49 431 85853
    Email:
    Web page: http://www.ifw-kiel.de
    More information through EDIRC

    Related research

    Keywords: Exchange rate forecasting; panel data; forecast combinations; market timing;

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Lorenzo Trapani & Giovanni Urga, 2006. "Optimal forecasting with heterogeneous panels: a Monte Carlo study," Working Papers 0616, Department of Economics and Technology Management, University of Bergamo.
    2. Turgut Kışınbay, 2010. "The use of encompassing tests for forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(8), pages 715-727, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:kie:kieliw:1656. 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: (Dieter Stribny).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.