Modélisation et prévision du taux de change réel effectif américain
René Lalonde and
Patrick Sabourin
Staff Working Papers from Bank of Canada
Abstract:
This study describes a simple model for predicting the real U.S. exchange rate. Starting with a large number of error-correction models, the authors choose the one giving the best out-of-sample forecasts over the period 1992Q3 - 2002Q1. In the selected model, the effective real exchange rate is cointegrated with relative productivity and the real price of oil. The short-term dynamics depend upon the evolution of the difference in GDP growth rates, the first difference of the ratio of net foreign assets to GDP, the real interest rate differential, and shocks that have a temporary effect on the real price of oil and relative productivity. Out-of-sample forecasts reveal that the model generates mean-squared errors that are systematically and statistically much lower than those from a random-walk or an autoregressive model. This result is largely due to the great stability of the parameters of the cointegration relationship.
Keywords: Econometric and statistical methods; Economic models; International topics; Exchange rates (search for similar items in EconPapers)
JEL-codes: E17 F31 F47 (search for similar items in EconPapers)
Pages: 35 pages
Date: 2003
New Economics Papers: this item is included in nep-ifn, nep-mac and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.bankofcanada.ca/wp-content/uploads/2010/02/wp03-3.pdf
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:bca:bocawp:03-3
Access Statistics for this paper
More papers in Staff Working Papers from Bank of Canada 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada. Contact information at EDIRC.
Bibliographic data for series maintained by ().