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Explaining and forecasting the euro/dollar exchange rate through a non-linear threshold model

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  • Asmara Jamaleh

Abstract

A linear econometric error correction model (ECM) model is built, based on short interest rates, gross domestic product (GDP) growth expectations and inflation differentials, in order to explain the euro/dollar exchange rate dynamics and provide reliable forecasts. This specification performs well. However, the introduction of non-linear threshold dynamics provides a better understanding of 'abnormal' features other than deviations from long-run equilibrium levels, allowing for the possibility of asymmetric behaviour. Empirical evidence of this is found in the actual dynamics of the euro. The non-linear specification performs better than the linear model in both in-sample fitting and out-of-sample forecasting, showing that fundamentals hold, working also through some non-linear mechanism, in explaining the euro/dollar dynamics.

Suggested Citation

  • Asmara Jamaleh, 2002. "Explaining and forecasting the euro/dollar exchange rate through a non-linear threshold model," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 422-448.
    • Handle: RePEc:taf:eurjfi:v:8:y:2002:i:4:p:422-448
    DOI: 10.1080/13518470210167301
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    References listed on IDEAS

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    Cited by:

    1. A. Malliaris & Mary Malliaris, 2013. "Are oil, gold and the euro inter-related? Time series and neural network analysis," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 1-14, January.
    2. Costas Karfakis, 2008. "What Determines the Forward Exchange Rate of the Euro?," Discussion Paper Series 2008_02, Department of Economics, University of Macedonia, revised Feb 2008.
    3. Costas Karfakis, 2008. "Does the US international debt affect the euro/dollar exchange rate?," Discussion Paper Series 2008_06, Department of Economics, University of Macedonia, revised Sep 2008.
    4. Belaire-Franch, Jorge & Opong, Kwaku K., 2005. "Some evidence of random walk behavior of Euro exchange rates using ranks and signs," Journal of Banking & Finance, Elsevier, vol. 29(7), pages 1631-1643, July.

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