Forecasting and combining competing models of exchange rate determination

Carlo Altavilla and Paul De Grauwe

Applied Economics, 2010, vol. 42, issue 27, 3455-3480

Abstract: This article investigates the out-of-sample forecast performance of a set of competing models of exchange rate determination. We compare standard linear models with models that characterize the relationship between exchange rate and the underlying fundamentals by nonlinear dynamics. Linear models tend to outperform at short forecast horizons especially when deviations from long-term equilibrium are small. In contrast, nonlinear models with more elaborate mean-reverting components dominate at longer horizons especially when deviations from long-term equilibrium are large. The results also suggest that combining different forecasting procedures generally produces more accurate forecasts than can be attained from a single model.

Date: 2010
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Citations: View citations in EconPapers (22)

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Related works:
Working Paper: Forecasting and Combining Competing Models of Exchange Rate Determination (2006)
Working Paper: Forecasting and Combining Competing Models of Exchange rate Determination (2006)
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DOI: 10.1080/00036840802112505

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