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Revisiting the relationship between exchange rates and fundamentals

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  • Chen, Shiu-Sheng
  • Chou, Yu-Hsi

Abstract

In this paper, we apply the permanent–transitory decomposition method to analyze the role of permanent and transitory shocks in explaining the apparent weak link between nominal exchange rates and economic fundamentals. The results suggest that for most of the countries we investigate, including Finland, Italy, Portugal, France and Switzerland, transitory shocks dominate exchange rate fluctuations, while permanent shocks dominate the variations in economic fundamentals. The findings therefore provide an alternative interpretation of the “exchange rate disconnect puzzle”. Moreover, the results also suggest that comprehensive modeling of transitory components in empirical models should not be neglected in studies of the dynamics of exchange rates.

Suggested Citation

  • Chen, Shiu-Sheng & Chou, Yu-Hsi, 2015. "Revisiting the relationship between exchange rates and fundamentals," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 1-22.
    • Handle: RePEc:eee:jmacro:v:46:y:2015:i:c:p:1-22
    DOI: 10.1016/j.jmacro.2015.07.004
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    5. Xie, Zixiong & Chen, Shyh-Wei, 2019. "Exchange rates and fundamentals: A bootstrap panel data analysis," Economic Modelling, Elsevier, vol. 78(C), pages 209-224.
    6. Abir Abid & Christophe Rault, 2020. "On the Exchange Rate and Economic Policy Uncertainty Nexus: A Panel VAR Approach for Emerging Markets," CESifo Working Paper Series 8189, CESifo.
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    Keywords

    Monetary fundamentals; Exchange rates; Permanent–transitory decomposition;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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