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Changes in the global oil market

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  • Bataa, Erdenebat
  • Izzeldin, Marwan
  • Osborn, Denise R.

Abstract

Changes in the parameters of a recursively identified oil market model are examined through an iterative algorithm that tests for possible breaks in coefficients and variances. The analysis detects breaks in the coefficients of the oil production and price equations, together with volatility shifts in all three equations of the model. Coefficient changes imply an enhanced response of production to aggregate demand shocks after 1980; and that the price response to supply shocks is more persistent from the mid-1990s. All variables evidence changes in the relative contributions of individual shocks to their forecast error variances, with coefficient and volatility breaks in the first half of the 1990s being particularly important in this respect. The results show that analysts of this market should eschew constant parameter models estimated over an extended period.

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  • Bataa, Erdenebat & Izzeldin, Marwan & Osborn, Denise R., 2016. "Changes in the global oil market," Energy Economics, Elsevier, vol. 56(C), pages 161-176.
    • Handle: RePEc:eee:eneeco:v:56:y:2016:i:c:p:161-176
    DOI: 10.1016/j.eneco.2016.03.009
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    3. Plakandaras, Vasilios & Gupta, Rangan & Balcilar, Mehmet & Ji, Qiang, 2022. "Evolving United States stock market volatility: The role of conventional and unconventional monetary policies," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    4. Raghavan, Mala, 2020. "An analysis of the global oil market using SVARMA models," Energy Economics, Elsevier, vol. 86(C).
    5. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
    6. V., Ernesto Guerra & H., Eugenio Bobenrieth & H., Juan Bobenrieth & Wright, Brian D., 2023. "Endogenous thresholds in energy prices: Modeling and empirical estimation," Energy Economics, Elsevier, vol. 121(C).
    7. Hailemariam, Abebe & Smyth, Russell, 2019. "What drives volatility in natural gas prices?," Energy Economics, Elsevier, vol. 80(C), pages 731-742.
    8. Erdenebat Bataa, 2019. "Growth and Inflation Regimes in Greater Tumen Initiative Area," The Northeast Asian Economic Review, ERINA - Economic Research Institute for Northeast Asia, vol. 7(1), pages 15-29, November.
    9. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2021. "Geopolitical risk and forecastability of tail risk in the oil market: Evidence from over a century of monthly data," Energy, Elsevier, vol. 235(C).
    10. Considine, Jennifer & Galkin, Philipp & Aldayel, Abdullah, 2022. "Inventories and the term structure of oil prices: A complex relationship," Resources Policy, Elsevier, vol. 77(C).
    11. Liu, Siyao & Fang, Wei & Gao, Xiangyun & Wang, Ze & An, Feng & Wen, Shaobo, 2020. "Self-similar behaviors in the crude oil market," Energy, Elsevier, vol. 211(C).
    12. Alomran, Abdulaziz Ahmed & Alsubaiei, Bader Jawid, 2022. "Oil price uncertainty and corporate cash holdings: Global evidence," International Review of Financial Analysis, Elsevier, vol. 81(C).
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    14. Theodosios Perifanis, 2019. "Detecting West Texas Intermediate (WTI) Prices’ Bubble Periods," Energies, MDPI, vol. 12(14), pages 1-16, July.

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    More about this item

    Keywords

    Oil price shocks; Multiple breaks; Breaks in SVAR;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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