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An Investigation of the Causal Relations between Exchange Rates and Interest Rate Differentials Using Wavelets


  • Hacker, Scott

    () (Jonkoping International Business School)

  • Kim, Hyunjoo

    (Jonkoping International Business School)

  • Månsson, Kristofer

    (Jonkoping International Business School)


Monthly and quarterly data for the spot exchange rate of the Swedish Krona against major currencies have been used in this paper to investigate the causality in a Granger sense at different time scales between the spot exchange rate and the nominal interest rate differential by using wavelet analysis. Impulse response functions are also utilized to examine the signs of how one of these variables affects the other over time. One key empirical finding from the causality tests is that there is only substantial evidence of a causal relationship in the long run between the two variables. When using monthly data, this is true in both directions. When considering impulse responses on how the interest rate differential affects the exchange rate, there appears to be some evidence of more negative relationships at the shorter time scales and more positive relationships at the longer time scales.

Suggested Citation

  • Hacker, Scott & Kim, Hyunjoo & Månsson, Kristofer, 2010. "An Investigation of the Causal Relations between Exchange Rates and Interest Rate Differentials Using Wavelets," Working Paper Series in Economics and Institutions of Innovation 215, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  • Handle: RePEc:hhs:cesisp:0215

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    1. Özmen, M. Utku & Yılmaz, Erdal, 2017. "Co-movement of exchange rates with interest rate differential, risk premium and FED policy in “fragile economies”," Emerging Markets Review, Elsevier, vol. 33(C), pages 173-188.
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    4. Baghestani, Hamid & Toledo, Hugo, 2017. "Do analysts' forecasts of term spread differential help predict directional change in exchange rates?," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 62-69.
    5. Månsson, Kristofer & Shukur, Ghazi & Sjölander, Pär, 2010. "A New Ridge Regression Causality Test in the Presence of Multicollinearity," HUI Working Papers 37, HUI Research.
    6. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
    7. Selim KAYHAN & Tayfur BAYAT & Ahmet UGUR, 2013. "Interest Rates and Exchange Rate Relationship in BRIC-T Countries," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 13(2), pages 227-236.
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    9. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
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    11. Lo, C.F. & Hui, C.H. & Fong, T. & Chu, S.W., 2015. "A quasi-bounded target zone model — Theory and application to Hong Kong dollar," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 1-17.

    More about this item


    exchange rate; interest rate differential; Granger causality; wavelet analysis; uncovered interest rate parity;

    JEL classification:

    • 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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission

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