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Oil market conditions and sovereign risk in MENA oil exporters and importers

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  • Bouri, Elie
  • Kachacha, Imad
  • Roubaud, David

Abstract

We analyze for the first time how various levels of oil returns and oil volatility changes affect sovereign risk in static and time-varying settings. Empirical analyses involve daily data from February 14, 2011 to November 23, 2018 covering a sample of MENA oil-exporters and importers. The results from a quantile-based approach show that the sovereign risk of MENA oil-exporters and importers is directionally predicted by shocks in oil prices and oil volatility, especially during the oil crash of 2014–2016. Overall, the impact of oil returns and volatility changes occur in a very short time span, that is within one day lag, and the quantile specific reactions of sovereign risk spreads are time varying. The impact of oil returns is asymmetric across quantiles. The results hold when we control for stock market returns. The findings have implications for investors in terms of portfolio and risk management. Importantly, the findings are useful to policymakers for sovereign risk management decisions, the cost of sovereign borrowing, and the market timing of debt issuance. Finally, the findings matter to bankers given that central and domestic banks hold large amounts of sovereign debt, which makes banking systems particularly exposed to their own sovereign stress.

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  • Bouri, Elie & Kachacha, Imad & Roubaud, David, 2020. "Oil market conditions and sovereign risk in MENA oil exporters and importers," Energy Policy, Elsevier, vol. 137(C).
  • Handle: RePEc:eee:enepol:v:137:y:2020:i:c:s0301421519306603
    DOI: 10.1016/j.enpol.2019.111073
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    5. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    6. 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).
    7. Hualing Lin & Qiubi Sun, 2020. "Crude Oil Prices Forecasting: An Approach of Using CEEMDAN-Based Multi-Layer Gated Recurrent Unit Networks," Energies, MDPI, vol. 13(7), pages 1-21, March.
    8. Balli, Esra & Nazif Çatık, Abdurrahman & Nugent, Jeffrey B., 2021. "Time-varying impact of oil shocks on trade balances: Evidence using the TVP-VAR model," Energy, Elsevier, vol. 217(C).
    9. Duan, Kun & Ren, Xiaohang & Wen, Fenghua & Chen, Jinyu, 2023. "Evolution of the information transmission between Chinese and international oil markets: A quantile-based framework," Journal of Commodity Markets, Elsevier, vol. 29(C).
    10. Okhrin, Yarema & Uddin, Gazi Salah & Yahya, Muhammad, 2023. "Nonlinear and asymmetric interconnectedness of crude oil with financial and commodity markets," Energy Economics, Elsevier, vol. 125(C).
    11. Mohamed Noureldin Sayed & Ghada H. Ashour & Nesrin A. Abbas, 2021. "The Impact of the Volatility in Oil Prices on Saudi Arabia s and Algeria s Military Expenditure: A Comparative Study," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 180-190.
    12. Raphael Semet & Thierry Roncalli & Lauren Stagnol, 2021. "ESG and Sovereign Risk: What is Priced in by the Bond Market and Credit Rating Agencies?," Papers 2110.06617, arXiv.org.
    13. Cheuathonghua, Massaporn & de Boyrie, Maria E. & Pavlova, Ivelina & Wongkantarakorn, Jutamas, 2022. "Extreme risk spillovers from commodity indexes to sovereign CDS spreads of commodity dependent countries: A VAR quantile analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
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    15. Dagher, Leila & Fattouh, Bassam & Jamali, Ibrahim, 2019. "Oil price dynamics and energy transitions in the Middle East and North Africa: Economic implications and structural reforms," MPRA Paper 116085, University Library of Munich, Germany.
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    More about this item

    Keywords

    Crude oil; Sovereign credit risk; MENA; Oil exporters and importers; Dynamic conditional correlation; Quantile dependence;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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