IDEAS home Printed from https://ideas.repec.org/a/ris/ecoint/0135.html
   My bibliography  Save this article

Modelling Exchange Rate Volatility: Evidence from Sweden

Author

Listed:
  • Maneschiöld, Per-Ola

    (Halmstad University, School of Business and Engineering, Department of Economics)

Abstract

This paper analyses the volatility of eight Swedish bilateral exchange rates over the recent floating period as a small country case. Various econometric tests are performed to identify and analyse the presence of ARCH effects using data from November 1992 to March 1998. Furthermore, the presence of asymmetries in the volatility is tested by the use of the sign bias test and formal ARCH models that incorporate the possibility of such asymmetries in the data. The sign bias test reveals no significant evidence of asymmetries, which then suggests that it is appropriate to fit the standard ARCH models to the data. However, the less restrictive ARCH models, which allow for asymmetric effects, do contradict the sign bias test for three out of eight exchange rates. This then indicates the importance of combining different tests to examine the same type of effect when modelling volatility in exchange rate data. The hypothesis that the ARCH effect diminishes with a lower frequency in the data is furthermore tested by the use of daily, weekly, and monthly frequencies. Five out of eight exchange rates did support the hypothesis but the more frequently traded currencies did contradict the hypothesis.

Suggested Citation

  • Maneschiöld, Per-Ola, 2004. "Modelling Exchange Rate Volatility: Evidence from Sweden," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 57(2), pages 145-172.
  • Handle: RePEc:ris:ecoint:0135
    as

    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:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:ris:ecoint:0135. 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: Angela Procopio (email available below). General contact details of provider: https://edirc.repec.org/data/cacogit.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.