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Exchange Rate Predictability and State-of-the-Art Models

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  • Dr. Pinar Yesin

Abstract

This paper empirically evaluates the predictive performance of the International Monetary Fund's (IMF) exchange rate assessments with respect to future exchange rate movements. The assessments of real trade-weighted exchange rates were conducted from 2006 to 2011, and were based on three state-of-the-art exchange rate models with a medium-term focus which were developed by the IMF. The empirical analysis using 26 advanced and emerging market economy currencies reveals that the 'diagnosis' of undervalued or overvalued currencies based on these models has significant predictive power with respect to future exchange rate movements, with one model outperforming the other two. The models are better at predicting future exchange rate movements in advanced and open economies. Controlling for the exchange rate regime does not increase the predictive power of the assessments. Furthermore, the directional accuracy of the IMF assessments is found to be higher than market expectations.

Suggested Citation

  • Dr. Pinar Yesin, 2016. "Exchange Rate Predictability and State-of-the-Art Models," Working Papers 2016-02, Swiss National Bank.
  • Handle: RePEc:snb:snbwpa:2016-02
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    References listed on IDEAS

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    1. De Bock, Reinout & de Carvalho Filho, Irineu, 2015. "The behavior of currencies during risk-off episodes," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 218-234.
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    7. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    8. Habib, Maurizio M. & Stracca, Livio, 2012. "Getting beyond carry trade: What makes a safe haven currency?," Journal of International Economics, Elsevier, vol. 87(1), pages 50-64.
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    Cited by:

    1. Ca' Zorzi, Michele & Longaric, Pablo Anaya & Rubaszek, Michał, 2021. "The predictive power of equilibrium exchange rate models," Economic Bulletin Articles, European Central Bank, vol. 7.
    2. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).

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    More about this item

    Keywords

    Exchange rate models; exchange rate assessment; predictability; equilibrium exchange rates.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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