Exchange Rates and Fundamentals: Evidence from Long-Horizon Regression Tests
Author(s) -
ShiuSheng Chen,
YuHsi Chou
Publication year - 2008
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.1002291
Subject(s) - horizon , econometrics , regression testing , economics , regression , statistics , computer science , mathematics , software construction , geometry , software , software system , programming language
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. Copyright (c) Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2009.
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