Exchange rates and fundamentals: Evidence from long-horizon regression tests

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Abstract

This article considers the long-run relationship between nominal exchange rates and fundamentals from a different perspective. We apply a long-horizon regression approach proposed by Fisher and Seater (1993) and find evidence supporting the explanatory power of exchange rate models. In particular, the Taylor-rule model outperforms other conventional models. We then use the inverse power function (IPF) proposed by Andrews (1989) to investigate the power of the Fisher-Seater test. The IPF analysis provides additional evidence supporting exchange rate models. © 2009 Blackwell Publishing Ltd and the Department of Economics, University of Oxford.

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Chen, S. S., & Chou, Y. H. (2010). Exchange rates and fundamentals: Evidence from long-horizon regression tests. Oxford Bulletin of Economics and Statistics, 72(1), 63–88. https://doi.org/10.1111/j.1468-0084.2009.00571.x

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