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Abstract
In this article we study the out-of-sample real exchange rate forecasts of an Artificial Neural Network model, an AR model and a random walk model. The results confirm the relevance of nonlinear adjustment in the dynamics of the real exchange rate.
Acknowledgement
Financial support from Ministerio de Educación y Ciencia (Project SEJ-2005 09094/ECON) is gratefully acknowledged.