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Transitory and Permanent Shocks in the Global Market for Crude Oil

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Abstract

This paper documents the determinants of real oil price in the global market based on SVAR model embedding transitory and permanent shocks on oil demand and supply as well as speculative disturbances. We find evidence of significant differences in the propagation mechanisms of transitory versus permanent shocks, pointing to the importance of disentangling their distinct effects. Permanent supply disruptions turn out to be a bigger factor in historical oil price movements during the most recent decades, while speculative shocks became less influential.

Suggested Citation

  • Nooman Rebei & Rashid Sbia, 2019. "Transitory and Permanent Shocks in the Global Market for Crude Oil," AMSE Working Papers 1918, Aix-Marseille School of Economics, France.
    • Handle: RePEc:aim:wpaimx:1918
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    1. Sylvain Leduc & Kevin Moran & Robert J. Vigfusson, 2023. "Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications," The Review of Economics and Statistics, MIT Press, vol. 105(2), pages 392-407, March.
    2. Perron, Pierre & Wada, Tatsuma, 2009. "Let's take a break: Trends and cycles in US real GDP," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 749-765, September.
    3. Martín Uribe, 2018. "The Neo-Fisher Effect: Econometric Evidence from Empirical and Optimizing Models," NBER Working Papers 25089, National Bureau of Economic Research, Inc.
    4. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    5. Mr. Martin Sommer & Mr. Allan G Auclair & Mr. Armand P Fouejieu & Ms. Inutu Lukonga & Mr. Saad N Quayyum & Amir Sadeghi & Mr. Gazi H Shbaikat & Mr. Andrew J Tiffin & Mr. Bruno Versailles, 2016. "Learning to Live with Cheaper Oil: Policy Adjustment in MENA and CCA Oil-Exporting Countries," IMF Departmental Papers / Policy Papers 2016/008, International Monetary Fund.
    6. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    7. 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.
    8. Alkhathlan, Khalid & Gately, Dermot & Javid, Muhammad, 2014. "Analysis of Saudi Arabia's behavior within OPEC and the world oil market," Energy Policy, Elsevier, vol. 64(C), pages 209-225.
    9. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    10. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    11. Al Rousan, Sahel & Sbia, Rashid & Tas, Bedri Kamil Onur, 2018. "A dynamic network analysis of the world oil market: Analysis of OPEC and non-OPEC members," Energy Economics, Elsevier, vol. 75(C), pages 28-41.
    12. Juan Antolín-Díaz & Juan F. Rubio-Ramírez, 2018. "Narrative Sign Restrictions for SVARs," American Economic Review, American Economic Association, vol. 108(10), pages 2802-2829, October.
    13. Lutz Kilian, 2008. "Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 216-240, May.
    14. Dvir, Eyal & Rogoff, Kenneth, 2014. "Demand effects and speculation in oil markets: Theory and evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 113-128.
    15. Francesco Lippi & Andrea Nobili, 2012. "Oil And The Macroeconomy: A Quantitative Structural Analysis," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1059-1083, October.
    16. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "OPEC and non-OPEC oil production and the global economy," Energy Economics, Elsevier, vol. 50(C), pages 364-378.
    17. Christopher R. Knittel & Robert S. Pindyck, 2016. "The Simple Economics of Commodity Price Speculation," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(2), pages 85-110, April.
    18. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    19. Olivier J. Blanchard & Jordi Galí, 2007. "The Macroeconomic Effects of Oil Price Shocks: Why Are the 2000s so Different from the 1970s?," NBER Chapters, in: International Dimensions of Monetary Policy, pages 373-421, National Bureau of Economic Research, Inc.
    20. Reda Cherif & Fuad Hasanov & Aditya Pande, 2021. "Riding the Energy Transition: Oil beyond 2040," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(1), pages 117-137, January.
    21. 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.
    22. Gregory, Allan W & Hansen, Bruce E, 1996. "Tests for Cointegration in Models with Regime and Trend Shifts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 555-560, August.
    23. Prest, Brian C., 2018. "Explanations for the 2014 oil price decline: Supply or demand?," Energy Economics, Elsevier, vol. 74(C), pages 63-75.
    24. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    25. Luciana Juvenal & Ivan Petrella, 2015. "Speculation in the Oil Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 621-649, June.
    26. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    27. Gambetti, Luca & Moretti, Laura, 2017. "News, Noise and Oil Price Swings," Research Technical Papers 12/RT/17, Central Bank of Ireland.
    28. Baum, Christopher F., 2004. "A review of Stata 8.1 and its time series capabilities," International Journal of Forecasting, Elsevier, vol. 20(1), pages 151-161.
    29. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    30. Jordi Galí & Mark J. Gertler, 2010. "International Dimensions of Monetary Policy," NBER Books, National Bureau of Economic Research, Inc, number gert07-1, March.
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    More about this item

    Keywords

    oil market; vector autoregressions; narrative analysis; Bayesian estimation; Kalman filtering;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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