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The Contribution of Growth and Interest Rate Differentials to the Persistence of Real Exchange Rates

Author

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  • Dimitrios Malliaropulos
  • Ekaterini Panopoulou
  • Nikitas Pittis
  • Theologos Pantelidis

Abstract

This paper employs a new methodology for measuring the contribution of growth and interest rate differentials to the half-life of deviations from Purchasing Power Parity (PPP). Our method is based on directly comparing the impulse response function of a VAR model, where the real exchange rate is Granger caused by these variables with the impulse response function of a univatiate ARMA model for the real exchange rate. We show that the impulse response function of the VAR model is not, in general, the same with the impulse response function obtained from the equivalent ARMA representation, if the real exchange rate is Granger caused by other variables in the system. The difference between the two functions captures the effects of the Granger-causing variables on the half-life of deviations from PPP. Our empirical results for a set of four currencies suggest that real and nominal long term interest rate differentials and real GDP growth differentials account for 22% to 50% of the half-life of deviations from PPP.

Suggested Citation

  • Dimitrios Malliaropulos & Ekaterini Panopoulou & Nikitas Pittis & Theologos Pantelidis, 2006. "The Contribution of Growth and Interest Rate Differentials to the Persistence of Real Exchange Rates," The Institute for International Integration Studies Discussion Paper Series iiisdp135, IIIS.
    • Handle: RePEc:iis:dispap:iiisdp135
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    References listed on IDEAS

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    More about this item

    Keywords

    real exchange rate; persistence measures; VAR; impulse response function; PPP.;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • 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

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