FORECASTING AND COMBINING COMPETING MODELS OF EXCHANGE RATE DETERMINATION - Archive ouverte HAL Access content directly
Journal Articles Applied Economics Year : 2008

FORECASTING AND COMBINING COMPETING MODELS OF EXCHANGE RATE DETERMINATION

Carlo Altavilla
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Paul de Grauwe
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Abstract

This paper 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 its 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.
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Dates and versions

hal-00582296 , version 1 (01-04-2011)

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Carlo Altavilla, Paul de Grauwe. FORECASTING AND COMBINING COMPETING MODELS OF EXCHANGE RATE DETERMINATION. Applied Economics, 2008, 42 (27), pp.3455. ⟨10.1080/00036840802112505⟩. ⟨hal-00582296⟩

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