Testing for a nonlinear relationship among fundamentals and exchange rates in the ERM

Yue Ma, Angelos Kanas

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

50 Citations (Scopus)

Abstract

We employ two nonparametric nonlinear testing methodologies, namely a nonparametric nonlinear cointegration approach and a nonlinear Granger causality approach, to test for a nonlinear relationship between macroeconomic fundamentals and exchange rates for two country-pairs, namely the Netherlands-Germany and France-Germany. The results suggest that there is nonlinear cointegration among money, output and exchange rates for Netherlands-Germany, which can be interpreted as evidence of a long-run nonlinear relationship. For France-Germany, we fail to find evidence of nonlinear cointegration, but we find nonlinear Granger causality from French money to the FFr/DM exchange rate. These findings may be interpreted as evidence of a dynamic nonlinear relationship and are consistent with the German dominance hypothesis. On the basis of estimated fractional ARIMA models, we rejected the hypothesis that these nonlinearities are due to bubbles. © 2000 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)135-152
JournalJournal of International Money and Finance
Volume19
Issue number1
DOIs
Publication statusPublished - Feb 2000
Externally publishedYes

Research Keywords

  • Causality
  • Cointegration
  • Exchange rates
  • Nonlinearity

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