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Oil price and exchange rate in India: Fresh evidence from continuous wavelet approach and asymmetric, multi-horizon Granger-causality tests
•We assess the relationship between the oil price and India-US real exchange rate.•We use a wavelet approach and asymmetric, multi-horizon Granger-causality tests.•Co-movements are noticed in the post-reform period, especially for 2–4-years bands.•The Granger-causal relationship between variables is...
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Published in: | Applied energy 2016-10, Vol.179, p.272-283 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •We assess the relationship between the oil price and India-US real exchange rate.•We use a wavelet approach and asymmetric, multi-horizon Granger-causality tests.•Co-movements are noticed in the post-reform period, especially for 2–4-years bands.•The Granger-causal relationship between variables is non-linear and asymmetric.•The short run oil price movements are important for the exchange rate stabilization.
We use a continuous wavelet approach and deploy asymmetric, multi-horizon Granger-causality tests between the return series of the oil price and the India-US exchange rate, over the time-span 1980M1–2016M2. The results highlight important co-movements in the post-reform period, especially for the 2–4-years band. The wavelet Granger-causality tests show that the exchange rate Granger-causes the oil price in the long run, while the opposite applies in the short run. Moreover, we find that the Granger-causal relationship between variables is non-linear, asymmetric and indirect, which will help policymakers and traders to make better strategic and investment decisions. |
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ISSN: | 0306-2619 1872-9118 |
DOI: | 10.1016/j.apenergy.2016.06.139 |