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

Yue MA, Angelos KANAS

Research output: Journal PublicationsJournal Article (refereed)

45 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.
Original languageEnglish
Pages (from-to)135-152
Number of pages18
JournalJournal of International Money and Finance
Volume19
Issue number1
DOIs
Publication statusPublished - 1 Feb 2000

Fingerprint

Nonlinear relationships
Exchange rates
Testing
Germany
Nonlinear cointegration
Nonlinear Granger causality
France
The Netherlands
Nonlinearity
Methodology
Bubble
Macroeconomic fundamentals
ARIMA models

Keywords

  • Causality
  • Cointegration
  • Exchange rates
  • Nonlinearity

Cite this

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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.",
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Testing for a nonlinear relationship among fundamentals and exchange rates in the ERM. / MA, Yue; KANAS, Angelos.

In: Journal of International Money and Finance, Vol. 19, No. 1, 01.02.2000, p. 135-152.

Research output: Journal PublicationsJournal Article (refereed)

TY - JOUR

T1 - Testing for a nonlinear relationship among fundamentals and exchange rates in the ERM

AU - MA, Yue

AU - KANAS, Angelos

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N2 - 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.

AB - 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.

KW - Causality

KW - Cointegration

KW - Exchange rates

KW - Nonlinearity

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JF - Journal of International Money and Finance

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