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Dynamic Forecasting of Monetary Exchange Rate Models: Evidence from Cointegration


Jae-Kwang Hwang


Virginia State University - Department of Economics & Finance

March 22, 2000

International Advances in Economic Research, Vol. 7, No. 1, 2001

Abstract:     
The Frenkel-Bilson and Dornbusch-Frankel monetary exchange rate models are used to estimate the out-of sample forecasting performance for the U.S. dollar/Canadian dollar exchange rate. By using Johansen's multivariate cointegration, up to three cointegrating vectors were found between the exchange rate and macroeconomic fundamentals. This means that there is a long-run relationship between the exchange rate and economic fundamentals. Based on error correction models, two monetary models outperform the random walk model at the three-, six-, and 12-month forecasting horizons. Therefore, monetary exchange rate models are still useful in forecasting exchange rates.

Number of Pages in PDF File: 14

Keywords: Exchange Rate Model, Cointegration, Error-Correction Model

JEL Classification: F31

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Date posted: November 24, 2010  

Suggested Citation

Hwang, Jae-Kwang, Dynamic Forecasting of Monetary Exchange Rate Models: Evidence from Cointegration (March 22, 2000). International Advances in Economic Research, Vol. 7, No. 1, 2001. Available at SSRN: http://ssrn.com/abstract=1713572

Contact Information

Jae-Kwang Hwang (Contact Author)
Virginia State University - Department of Economics & Finance ( email )
Singleton Hall, Room 209
Box 9047
Petersburg, VA 23806
United States
Feedback to SSRN (Beta)


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