IDEAS home Printed from https://ideas.repec.org/a/air/journl/v3y2016i2p123.html

Estimation of Long-run Relationship between Crude Oil and US’ Dollar Value: A Cointegration Analysis

Author

Listed:
  • Davood Rahmanifard
  • Esmaeel Safarzadeh
  • Leila Zeinali

Abstract

Crude oil price and US dollar value are the two critical economic variables influencing global economy. The purpose of this research is to study the sustained long-run relationship between these two variables. The fact that Crude oil price is determined in dollar and that oil price and dollar exchange rate, since 1970, underwent many changes at international markets raised this question that what is the relationship between these two variables. For this purpose, co-integration and causality tests were used for variables within 1990-2013. Research results show that there is a negative relationship between crude oil price and dollar value such that if the real price of crude oil increases up to 10%, dollar real value decreases to 1.7%. Causality direction is from oil price variable to US dollar price. In addition, estimating short-term error correction relationship for dollar exchange rate long-run equation, it is seen that if dollar real exchange rate deviates from its long-run trend, the gap will be restored at 4.1% rate per period as long as returning to the very long-run path.

Suggested Citation

  • Davood Rahmanifard & Esmaeel Safarzadeh & Leila Zeinali, 2016. "Estimation of Long-run Relationship between Crude Oil and US’ Dollar Value: A Cointegration Analysis," International Journal of Management, Accounting and Economics, International Journal of Management, Accounting and Economics, vol. 3(2), pages 123-138.
  • Handle: RePEc:air:journl:v:3:y:2016:i:2:p:123
    DOI: 10.5281/zenodo.17414168
    as

    Download full text from publisher

    File URL: https://www.ijmae.com/article_115234_36bd1e257054b4abcd99f938ef6e27b1.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.5281/zenodo.17414168?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:air:journl:v:3:y:2016:i:2:p:123. 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: Dr. Behzad Hassannezhad Kashani (email available below). General contact details of provider: https://www.ijmae.com/ .

    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.