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A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices

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  • Jammazi, Rania
  • Lahiani, Amine
  • Nguyen, Duc Khuong

Abstract

We investigate whether changes in the US dollar exchange rates of 18 currencies help explain the movements in the price of crude oil by using a wavelet-based nonlinear autoregressive distributed lags model (W-NARDL). This model allows one to capture the short- and long-run nonlinearities while taking into account the potential of extreme movements and excluding the noise components of the underlying data. We find evidence of significant and asymmetric pass-through of exchange rates to oil prices in both the short and long run. In particular, the long-run negative changes in exchange rates (dollar depreciation) exert a greater impact on oil prices than do the long-run positive changes (dollar appreciation), even though the sign of the effect is commonly negative in most cases. Our results finally suggest that denoising the crude oil and exchange rate data is effective and necessary before their interactions can be analyzed.

Suggested Citation

  • Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    • Handle: RePEc:eee:intfin:v:34:y:2015:i:c:p:173-187
    DOI: 10.1016/j.intfin.2014.11.011
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    More about this item

    Keywords

    Oil prices; US dollar exchange rates; Wavelet; NARDL;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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