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Financial liquidity, geopolitics, and oil prices

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  • Abdel-Latif, Hany
  • El-Gamal, Mahmoud

Abstract

This paper aims simultaneously to study the global dynamic relationship of oil prices, financial liquidity, and geopolitical risk, on the one hand, and the economic performance of oil-exports-dependent economies on the other. Global and country-specific dynamics are studied together in a Global Vector Autoregression (GVAR) model that allows different lag structures for different variables in different countries. Global impulse response functions from the estimated model suggest that new waves of high oil prices are unlikely, despite the likely continuation of high global financial liquidity and heightened geopolitical risk, which had driven earlier episodes of very high oil prices. With oil remaining at modest to low prices by recent historical standards, we study the prospects for economic growth in oil-export-dependent economies through dramatic increases in domestic investment, as planned under Visions 2030 of some Arab countries, and conclude that, unfortunately, success is unlikely.

Suggested Citation

  • Abdel-Latif, Hany & El-Gamal, Mahmoud, 2020. "Financial liquidity, geopolitics, and oil prices," Energy Economics, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:eneeco:v:87:y:2020:i:c:s0140988319302634
    DOI: 10.1016/j.eneco.2019.104482
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    6. Yunhan Zhang & Qiang Ji & David Gabauer & Rangan Gupta, 2024. "How Connected is the Oil-Bank Network? Firm-Level and High-Frequency Evidence," Working Papers 202405, University of Pretoria, Department of Economics.
    7. Valérie Mignon & Jamel Saadaoui, 2022. "Asymmetries in the oil market: Accounting for the growing role of China through quantile regressions," Working Papers of BETA 2022-36, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Wang, Yihan & Bouri, Elie & Fareed, Zeeshan & Dai, Yuhui, 2022. "Geopolitical risk and the systemic risk in the commodity markets under the war in Ukraine," Finance Research Letters, Elsevier, vol. 49(C).
    9. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    10. Joseph Micallef & Simon Grima & Jonathan Spiteri & Ramona Rupeika-Apoga, 2023. "Assessing the Causality Relationship between the Geopolitical Risk Index and the Agricultural Commodity Markets," Risks, MDPI, vol. 11(5), pages 1-15, April.
    11. Yang, Tianle & Dong, Qingyuan & Du, Min & Du, Qunyang, 2023. "Geopolitical risks, oil price shocks and inflation: Evidence from a TVP–SV–VAR approach," Energy Economics, Elsevier, vol. 127(PB).
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    More about this item

    Keywords

    Geopolitics; Global liquidity; Oil prices; MENA region; Arab Spring; Global VAR;
    All these keywords.

    JEL classification:

    • 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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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