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On causal Relationships Between Exchange Rates and Fundamentals: Better Than You Think

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  • Dimitris Christopoulos
  • Miguel A. León-Ledesma

Abstract

This note revisits the temporal causality between exchange rates and fundamentals put forward by Engel and West (2005). We analyze the causal link within multivariate VARs by making use of the concept of multi-step causality. Our results show that, considering information content beyond one-period ahead, the causal link between exchange rates and fundamentals is stronger than previously reported. We find Granger-causality running from exchange rates to fundamentals at some horizon in 49% of our tests and running from fundamentals to exchange rates in 59% of them.

Suggested Citation

  • Dimitris Christopoulos & Miguel A. León-Ledesma, 2009. "On causal Relationships Between Exchange Rates and Fundamentals: Better Than You Think," Studies in Economics 0909, School of Economics, University of Kent.
    • Handle: RePEc:ukc:ukcedp:0909
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    1. repec:zbw:rwirep:0134 is not listed on IDEAS
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    3. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate? - A Time-varying Coefficient Approach," Ruhr Economic Papers 0134, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    4. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate?: A Time-Varying Coefficient Approach," Discussion Papers of DIW Berlin 944, DIW Berlin, German Institute for Economic Research.

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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