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The value of the US dollar and its impact on oil prices: Evidence from a non-linear asymmetric cointegration approach

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  • McLeod, Roger C.D.
  • Haughton, Andre Yone

Abstract

The dynamic relationship between the real oil price and the US real effective exchange rate (REER) is one of the most important relationships for policy practitioners. But, the literature has largely disagreed on the direction of causation in cases when cointegration was found. This paper addresses this issue and provides new evidence by using an approach that accounts for the potential of asymmetric cointegration and multiple structural breaks. This was done using Threshold Autoregressive (TAR) and Momentum TAR (MTAR) models. Some key findings emerge: first, the variables are cointegrated with significant asymmetric error-correction adjustments, and the US REER is found to be weakly exogenous in this process. When exogenous shocks cause disequilibrium, then the adjustment is slower in the case of when a downward adjustment of real oil prices is needed to regain equilibrium, compared to the case of when an upward adjustment is needed. This asymmetry could be driven by downward rigidity in oil prices. Second, it follows that long-run causation is unidirectional, going from the US REER to real oil prices, however, there is bidirectional causation in the short run. The estimations accounted for four structural breaks found in the sample. Overall findings imply that countries exporting to the US may lose competitiveness in the long run not only because of an increased conversion price but also through the upward pressure on oil prices. From a US perspective, increased competitiveness leads to increased real oil prices, which may temper the gains of oil intensive exports in the long run.

Suggested Citation

  • McLeod, Roger C.D. & Haughton, Andre Yone, 2018. "The value of the US dollar and its impact on oil prices: Evidence from a non-linear asymmetric cointegration approach," Energy Economics, Elsevier, vol. 70(C), pages 61-69.
  • Handle: RePEc:eee:eneeco:v:70:y:2018:i:c:p:61-69
    DOI: 10.1016/j.eneco.2017.12.027
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    1. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    2. van Amano, Robert A & Norden, Simon, 1998. "Exchange Rates and Oil Prices," Review of International Economics, Wiley Blackwell, vol. 6(4), pages 683-694, November.
    3. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    4. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    5. Hassan Mohammadi & Mohammad Jahan-Parvar, 2012. "Oil prices and exchange rates in oil-exporting countries: evidence from TAR and M-TAR models," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(3), pages 766-779, July.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. Domenico Ferraro & Ken Rogoff & Barbara Rossi, 2011. "Can Oil Prices Forecast Exchange Rates?," Working Papers 11-05, Duke University, Department of Economics.
    8. Chaudhuri, Kausik & Daniel, Betty C., 1998. "Long-run equilibrium real exchange rates and oil prices," Economics Letters, Elsevier, vol. 58(2), pages 231-238, February.
    9. Benassy-Quere, Agnes & Mignon, Valerie & Penot, Alexis, 2007. "China and the relationship between the oil price and the dollar," Energy Policy, Elsevier, vol. 35(11), pages 5795-5805, November.
    10. Ding, Liang & Vo, Minh, 2012. "Exchange rates and oil prices: A multivariate stochastic volatility analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 15-37.
    11. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    12. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    13. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    14. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    15. Marcel Fratzscher & Daniel Schneider & Ine Van Robays, 2013. "Oil Prices, Exchange Rates and Asset Prices," Discussion Papers of DIW Berlin 1302, DIW Berlin, German Institute for Economic Research.
    16. Jen-Eem Chen & Chin-Yu Lee & Lim-Thye Goh, 2013. "Exchange rate and oil price: asymmetric adjustment," Applied Economics Letters, Taylor & Francis Journals, vol. 20(10), pages 987-990, July.
    17. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    18. Amano, R. A. & van Norden, S., 1998. "Oil prices and the rise and fall of the US real exchange rate," Journal of International Money and Finance, Elsevier, vol. 17(2), pages 299-316, April.
    19. Lee, Yen-Hsien & Hu, Hsu-Ning & Chiou, Jer-Shiou, 2010. "Jump dynamics with structural breaks for crude oil prices," Energy Economics, Elsevier, vol. 32(2), pages 343-350, March.
    20. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    21. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    22. Paul Krugman, 1983. "Oil Shocks and Exchange Rate Dynamics," NBER Chapters, in: Exchange Rates and International Macroeconomics, pages 259-284, National Bureau of Economic Research, Inc.
    23. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    24. Yi Zhang, 2013. "The Links between the Price of Oil and the Value of US Dollar," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 341-351.
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    More about this item

    Keywords

    Asymmetric cointegration; Structural break; Oil prices; US dollar;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • F3 - International Economics - - International Finance
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance

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