IDEAS home Printed from https://ideas.repec.org/a/ecb/ecbart/202100071.html

The predictive power of equilibrium exchange rate models

Author

Listed:
  • Ca' Zorzi, Michele
  • Anaya Longaric, Pablo
  • Rubaszek, Michał

Abstract

This article reviews three popular equilibrium exchange rate models, the purchasing power parity (PPP), behavioural equilibrium exchange rate (BEER) and macroeconomic balance (MB) models. The aim is to address two questions: whether such models help in forecasting real and nominal exchange rates and which macroeconomic fundamentals contain such predictive power. The evidence suggests that real exchange rates adjust over time to their estimated real exchange rate equilibria only in the cases of the PPP and BEER models. Exploring this empirical regularity, it is possible to draw three important lessons. The first is that such equilibrium adjustment helps to forecast real exchange rates. The second lesson is that this real equilibrium adjustment process helps in forecasting nominal exchange rates, as most of the adjustment toward equilibrium is achieved by currency movements and not by relative price changes. The third is that most of the forecasting power comes from the exploitation of the mean-reverting properties of real exchange rates rather than an understanding of the relationship between exchange rates and economic fundamentals. JEL Classification: C33, F31, F37, F41

Suggested Citation

  • Ca' Zorzi, Michele & Anaya Longaric, Pablo & Rubaszek, Michał, 2021. "The predictive power of equilibrium exchange rate models," Economic Bulletin Articles, European Central Bank, vol. 7.
  • Handle: RePEc:ecb:ecbart:2021:0007:1
    Note: 343031
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//press/economic-bulletin/articles/2021/html/ecb.ebart202107_01~e584b31d1a.en.html
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claire Giordano, 2021. "How frequent a BEER? Assessing the impact of data frequency on real exchange rate misalignment estimation," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 365-404, July.
    2. Biagio Bossone, 2021. "Exercising Economic Sovereignty in Today's Global Financial World: The Lessons from John Maynard Keynes," Working Papers PKWP2120, Post Keynesian Economics Society (PKES).
    3. Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
    4. Bacchetta, Philippe & Chikhani, Pauline, 2020. "On the Weakness of the Swedish Krona," CEPR Discussion Papers 15468, C.E.P.R. Discussion Papers.
    5. Valery Smirnov, 2023. "The Russian Rouble Crisis of December 2014: An Alternative View," Russian Journal of Money and Finance, Bank of Russia, vol. 82(1), pages 137-144, March.
    6. Michał Rubaszek & Joscha Beckmann & Michele Ca’ Zorzi & Marek Kwas, 2025. "Boosting Carry with Equilibrium Exchange Rate Estimates," Open Economies Review, Springer, vol. 36(4), pages 1281-1307, September.
    7. Biagio Bossone, 2021. "Global Capital, the Exchange Rate, and Policy (In)Effectiveness," Working Papers PKWP2113, Post Keynesian Economics Society (PKES).
    8. Fišera, Boris & Horváth, Roman, 2022. "Are exchange rates less important for trade in a more globalized world? Evidence for the new EU members," Economic Systems, Elsevier, vol. 46(1).
    9. Kwas, Marek & Beckmann, Joscha & Rubaszek, Michał, 2024. "Are consensus FX forecasts valuable for investors?," International Journal of Forecasting, Elsevier, vol. 40(1), pages 268-284.
    10. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    11. Parker, Kevin & Gaydon, Daniel J. & Fulmore, Anthony & Boyle, Douglas M., 2024. "Accounting Students’ perceptions of delivery modalities during and after the COVID-19 pandemic," Journal of Accounting Education, Elsevier, vol. 68(C).
    12. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecb:ecbart:2021:0007:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.