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Asymmetric tail dependence between oil price shocks and sectors of Saudi Arabia System

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  • Trabelsi, Nader

Abstract

This paper investigates the potential asymmetry in international oil market and the Saudi Arabia sectors tail dependence. Our methodology incorporates copula-based dependence measures with ARMA-GARCH margins, during the period 2007–2016. Empirically, results are validated by establishing nonparametric tests of independence and Goodness-of-fit test for copula. The aim results have shown that the responses of the sector indices to oil price fluctuations are significantly asymmetric, especially for the left tail, except for Petrochemical sector index and Agricultures & Food sector index where tail dependence is symmetric.

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  • Trabelsi, Nader, 2017. "Asymmetric tail dependence between oil price shocks and sectors of Saudi Arabia System," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 26-41.
    • Handle: RePEc:eee:joecas:v:16:y:2017:i:c:p:26-41
    DOI: 10.1016/j.jeca.2017.05.001
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    2. Patterson C. Ekeocha & Dinci J. Penzin & Jonathan Emenike Ogbuabor, 2020. "Energy Consumption and Economic Growth in Nigeria: A Test of Alternative Specifications," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 369-379.
    3. Hamdi, Besma & Aloui, Mouna & Alqahtani, Faisal & Tiwari, Aviral, 2019. "Relationship between the oil price volatility and sectoral stock markets in oil-exporting economies: Evidence from wavelet nonlinear denoised based quantile and Granger-causality analysis," Energy Economics, Elsevier, vol. 80(C), pages 536-552.
    4. Raheem, Ibrahim D., 2022. "Different strokes for different folks: The case of oil shocks and emerging equity markets," Energy Economics, Elsevier, vol. 108(C).
    5. Alqahtani, Faisal & Hamdi, Besma & Hammoudeh, Shawkat, 2021. "The effects of global factors on the Saudi Arabia equity market by firm size: Implications for risk management based on quantile analysis and frequency domain causality," Journal of Multinational Financial Management, Elsevier, vol. 61(C).
    6. Abootaleb Shirvani & Dimitri Volchenkov, 2019. "A Regulated Market Under Sanctions: On Tail Dependence Between Oil, Gold, and Tehran Stock Exchange Index," Papers 1911.01826, arXiv.org.
    7. Umar, Zaghum & Trabelsi, Nader & Zaremba, Adam, 2021. "Oil shocks and equity markets: The case of GCC and BRICS economies," Energy Economics, Elsevier, vol. 96(C).
    8. Aviral Kumar Tiwari & Sangram Keshari Jena & Satish Kumar & Erik Hille, 2022. "Is oil price risk systemic to sectoral equity markets of an oil importing country? Evidence from a dependence-switching copula delta CoVaR approach," Annals of Operations Research, Springer, vol. 315(1), pages 429-461, August.
    9. Virbickaitė, Audronė & Frey, Christoph & Macedo, Demian N., 2020. "Bayesian sequential stock return prediction through copulas," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    10. Afees A. Salisu & Kazeem Isah & Nnenna Ogbonnaya‐Orji, 2022. "A firm level analysis of asymmetric response of U.S. stock returns to exchange rate movements," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1220-1239, January.
    11. Ruble, Isabella & Powell, John, 2021. "The Brent-WTI spread revisited: A novel approach," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    12. Jawadi, Fredj & Ftiti, Zied, 2019. "Oil price collapse and challenges to economic transformation of Saudi Arabia: A time-series analysis," Energy Economics, Elsevier, vol. 80(C), pages 12-19.
    13. Manel Youssef & Khaled Mokni, 2019. "Do Crude Oil Prices Drive the Relationship between Stock Markets of Oil-Importing and Oil-Exporting Countries?," Economies, MDPI, vol. 7(3), pages 1-22, July.
    14. Md Fouad Bin Amin & Mohd Ziaur Rehman, 2022. "Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.

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    More about this item

    Keywords

    Oil price shocks; Asymmetry; Major oil exporting countries; Tail dependence; Copula; Goodness-of-fit test;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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