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The importance of interest rates for forecasting the exchange rate

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This study compares the forecasting performance of a structural exchange rate model that combines the purchasing power parity condition with the interest rate differential in the long run, with some alternative models. The analysis is applied to the Norwegian exchange rate. The long run equilibrium relationship is embedded in a parsimonious representation for the exchange rate. The structural exchange rate representation is stable over the sample and outperforms a random walk in an out-of-sample forecasting exercise at one to four horizons. Ignoring the interest rate differential in the long run, however, the structural model no longer outperforms a random walk.

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  • Hilde C. Bjørnland & Håvard Hungnes, 2003. "The importance of interest rates for forecasting the exchange rate," Discussion Papers 340, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:340
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    Cited by:

    1. Pål Boug & Andreas Fagereng, 2010. "Exchange rate volatility and export performance: a cointegrated VAR approach," Applied Economics, Taylor & Francis Journals, vol. 42(7), pages 851-864.
    2. Rashid, Abdul & Ling, Jeffrey, 2009. "Fundamentals and Exchange Rates: Evidence from ASEAN-5," MPRA Paper 22451, University Library of Munich, Germany.
    3. Jen-Chi Cheng & Larry Taylor & Wenlong Weng, 2010. "The links between international parity conditions and Granger causality: a study of exchange rates and prices," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3491-3501.
    4. Roger Bjørnstad & Eilev S. Jansen, 2007. "The NOK/euro exhange rate after inflation targeting: The interest rate rules," Discussion Papers 501, Statistics Norway, Research Department.
    5. Hilde C. Bjørnland, 2008. "Monetary Policy and Exchange Rate Interactions in a Small Open Economy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 197-221, March.
    6. Hilde C Bjørnland & Håvard Hungnes, 2008. "The Commodity Currency Puzzle," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(2), pages 7-30, May.
    7. Håvard Hungnes, 2020. "Predicting the exchange rate path. The importance of using up-to-date observations in the forecasts," Discussion Papers 934, Statistics Norway, Research Department.

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    More about this item

    Keywords

    Equilibrium real exchange rate; cointegration VAR; out-of-sample forecasting;
    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
    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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