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Crude Oil Prices and Stock Markets in Major Oil Exporting Countries: Evidence on Decoupling Feature

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  • Onour, Ibrahim

Abstract

This paper investigates common cyclical features between crude oil market and stock markets in major oil exporting countries including Saudi Arabia, UAE, and Kuwait. The results of the paper indicate, at low oil prices (below $40 per oil barrel) Saudi and Abu-Dhabi markets share common cyclical feature with oil market, but they digress from the oil market as oil prices rose above $40 per barrel. The decoupling feature indicate the capital markets and oil market respond in different pattern to cycle generating shocks, suggesting as higher oil prices may raise global investment risk, stock markets in these countries deflect from their key fundamental driver.

Suggested Citation

  • Onour, Ibrahim, 2010. "Crude Oil Prices and Stock Markets in Major Oil Exporting Countries: Evidence on Decoupling Feature," MPRA Paper 23334, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:23334
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    References listed on IDEAS

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    1. F. Vahid & R. F. Engle, 1993. "Common Trends And Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-360, October.
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    6. Apostolos Serletis & Ricardo Rangel-Ruiz, 2007. "Testing for Common Features in North American Energy Markets," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 14, pages 172-187, World Scientific Publishing Co. Pte. Ltd..
    7. Apostolos Serletis & John Herbert, 2007. "The Message in North American Energy Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 13, pages 156-171, World Scientific Publishing Co. Pte. Ltd..
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    10. Carvalho, Vasco & Harvey, Andrew & Trimbur, Thomas, 2007. "A Note on Common Cycles, Common Trends, and Convergence," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 12-20, January.
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    Cited by:

    1. Dong, Yang & Wen, Shu-hui & Hu, Xiao-bing & Li, Jiang-Cheng, 2020. "Stochastic resonance of drawdown risk in energy market prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    2. Dong, Minyi & Chang, Chun-Ping & Gong, Qiang & Chu, Yin, 2019. "Revisiting global economic activity and crude oil prices: A wavelet analysis," Economic Modelling, Elsevier, vol. 78(C), pages 134-149.
    3. Venkata Sai Srinivasa Rao Muramalla & Hassan Ali Alqahtani, 2020. "Long Run Association of Oil Prices and Stock Prices: A Case of Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 593-600.
    4. Li, Jiang-Cheng & Leng, Na & Zhong, Guang-Yan & Wei, Yu & Peng, Jia-Sheng, 2020. "Safe marginal time of crude oil price via escape problem of econophysics," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).

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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • F30 - International Economics - - International Finance - - - General

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