The Relevance of the Monetary Model for the Euro / USD Exchange Rate Determination: a Long Run Perspective
Dimitris Georgoutsos and
Georgios Kouretas
Open Economies Review, 2017, vol. 28, issue 5, No 9, 989-1010
Abstract:
Abstract This study tries to fill a vacuum in the literature on the relevance of economic fundamentals for the Euro / USD exchange rate determination. We adopt the Monetary Model for the Exchange Rate Determination as our testing vehicle and investigate the relevance of various versions of this model over a long time horizon, spanning the period from the inception of Euro till the present time. We rely on cointegration analysis to conduct our empirical research and in accordance to the relevant literature we fail to accept most of the variants of this model. However, we get encouraging results from an expanded version of the Monetary Model where demand and productivity factors appear in the set of the exchange rate determinants.
Keywords: Euro-dollar rate; Exchange rate modelling; Cointegration; Predictability (search for similar items in EconPapers)
JEL-codes: C01 C22 F31 F37 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11079-017-9468-6 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:openec:v:28:y:2017:i:5:d:10.1007_s11079-017-9468-6
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11079/PS2
DOI: 10.1007/s11079-017-9468-6
Access Statistics for this article
Open Economies Review is currently edited by G.S. Tavlas
More articles in Open Economies Review from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().