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The Us Dollar Exchange Rate And The Demand For Oil

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  • Selien De Schryder
  • Gert Peersman
Abstract
Using recent advances in panel data estimation techniques, we .find that an appreciation of the US dollar exchange rate leads to a significant decline in oil demand for a sample of 65 oil-importing countries. The estimated effect turns out to be considerably larger than the impact of a shift in the global crude oil price expressed in US dollar. This .finding appears to be the consequence of a stronger pass-through of changes in the US dollar exchange rate to domestic end-user oil products prices relative to changes in the global crude oil price. Furthermore, we demonstrate the relevance of US dollar fluctuations for global oil price dynamics.

Suggested Citation

  • Selien De Schryder & Gert Peersman, 2014. "The Us Dollar Exchange Rate And The Demand For Oil," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/893, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:14/893
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    2. Xiaohui GONG & Bisharat Hussain CHANG & Xi CHEN & Kaiyang ZHONG, 2023. "Asymmetric Effects of Exchange Rates on Energy Demand in E7 Countries: New Evidence from Multiple Thresholds Nonlinear ARDL Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 125-142, June.
    3. Ivan, Miruna-Daniela & Banti, Chiara & Kellard, Neil, 2022. "Prime money market funds regulation, global liquidity, and the crude oil market," Journal of International Money and Finance, Elsevier, vol. 127(C).
    4. Benzid, Lamia & Bakari, Sayef, 2021. "Modeling the Asymmetric Relationship between the Covid-19 and the U.S Dollar Exchange Rate: an Empirical Analysis via the NARDL Approach," MPRA Paper 105566, University Library of Munich, Germany.
    5. Mongi Arfaoui & Aymen Ben Rejeb, 2017. "Oil, gold, US dollar and stock market interdependencies: a global analytical insight," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 26(3), pages 278-293, October.
    6. Fernandez-Diaz, Jose M. & Morley, Bruce, 2019. "Interdependence among agricultural commodity markets, macroeconomic factors, crude oil and commodity index," Research in International Business and Finance, Elsevier, vol. 47(C), pages 174-194.
    7. Emanuel Kohlscheen, 2022. "Quantifying the role of interest rates, the Dollar and Covid in oil prices," BIS Working Papers 1040, Bank for International Settlements.
    8. Peersman, Gert & Wauters, Joris, 2024. "Heterogeneous household responses to energy price shocks," Energy Economics, Elsevier, vol. 132(C).
    9. Kim, Jong-Min & Tabacu, Lucia & Jung, Hojin, 2020. "A quantile-copula approach to dependence between financial assets," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    10. Marcel Fratzscher & Daniel Schneider & Ine Van Robays, 2013. "Oil Prices, Exchange Rates and Asset Prices," CESifo Working Paper Series 4264, CESifo.
    11. Huntington, Hillard G., 2015. "Crude oil trade and current account deficits," Energy Economics, Elsevier, vol. 50(C), pages 70-79.
    12. Beckmann, Joscha & Czudaj, Robert L. & Arora, Vipin, 2020. "The relationship between oil prices and exchange rates: Revisiting theory and evidence," Energy Economics, Elsevier, vol. 88(C).
    13. Fernandez-Diaz, Jose M. & Morley, Bruce, 2019. "Interdependence among agricultural commodity markets, macroeconomic factors, crude oil and commodity index," Research in International Business and Finance, Elsevier, vol. 47(C), pages 174-194.
    14. Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).

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    More about this item

    Keywords

    Oil demand; US dollar exchange rate; oil price pass-through; panel data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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