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Article . 2000
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Article . 2000 . Peer-reviewed
License: Springer TDM
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Forecasting the Euro exchange rate using vector error correction models

Authors: Aarle, Bas Van; Boss, Michael; Hlouskova, Jaroslava;

Forecasting the Euro exchange rate using vector error correction models

Abstract

Forecasting the Euro Exchange Rate Using Vector Error Correction Models. — This paper presents an exchange rate model for the Euro exchange rates of four major currencies, namely the US dollar, the British pound, the Japanese yen and the Swiss franc. The model is based on the monetary approach of exchange rate theory which uses fundamental macroeconomic variables to explain the exchange rate. A crucial point when using such a model is its proper estimation through cointegration analysis. The euro exchange rate model is therefore estimated in the form of a Vector Autoregressive (VAR) model with cointegrating vectors (VECM). We find that when cointegration analysis is undertaken properly, the naive random walk prediction can be out-performed for the US dollar, the British pound and the Japanese yen, but not for the Swiss franc.

Countries
Germany, Netherlands, Austria
Keywords

Internationalisering van Europa, 330.economics, Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Average
Average
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