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“Every cloud has a silver lining”; to what extent does the Arab Spring accelerate the integration among Arab monarchies?

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  • Bouoiyour, Jamal
  • Selmi, Refk
  • Miftah, Amal

Abstract

This study fleshes out the role that may play the Arab revolution in strengthening regional integration. It rigorously assesses the extent of change in the degree of financial interdependence among Arab Monarchies (i.e., Arab Gulf countries, Jordan and Morocco) with the onset of the Arab Spring events. Our results reveal a significant time-varying volatility spillover effects, highlighting a greater interdependency across the focal Arab stock markets. It is also well shown that compared to the Morocco, there is a higher degree of financial integration of Jordan vis-à-vis the Gulf countries. Notably, a different integration patterns arises when accounting for the aftermath of revolution. Under the post-uprisings period, the stock market correlation between Morocco and Gulf countries increase substantially to values as high as the ones of Jordan. This implies that the Arab Spring has changed the nature of shock transmission between these countries, and thus may be perceived as a revival of integration.

Suggested Citation

  • Bouoiyour, Jamal & Selmi, Refk & Miftah, Amal, 2015. "“Every cloud has a silver lining”; to what extent does the Arab Spring accelerate the integration among Arab monarchies?," MPRA Paper 70942, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:70942
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    1. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(2), pages 280-310, April.
    2. Riad Dahel & Belkacem Laabas, 1999. "The Behavior of Stock Prices in the GCC Markets," Working Papers 9917, Economic Research Forum, revised Jun 1999.
    3. Sorensen, Bent E. & Wu, Yi-Tsung & Yosha, Oved & Zhu, Yu, 2007. "Home bias and international risk sharing: Twin puzzles separated at birth," Journal of International Money and Finance, Elsevier, vol. 26(4), pages 587-605, June.
    4. Monica Billio & Massimiliano Caporin, 2005. "Multivariate Markov switching dynamic conditional correlation GARCH representations for contagion analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(2), pages 145-161, November.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    6. Heathcote, Jonathan & Perri, Fabrizio, 2004. "Financial globalization and real regionalization," Journal of Economic Theory, Elsevier, vol. 119(1), pages 207-243, November.
    7. Lee, Bong-Soo, 1992. "Causal Relations among Stock Returns, Interest Rates, Real Activity, and Inflation," Journal of Finance, American Finance Association, vol. 47(4), pages 1591-1603, September.
    8. Bekaert, Geert & Urias, Michael S, 1996. "Diversification, Integration and Emerging Market Closed-End Funds," Journal of Finance, American Finance Association, vol. 51(3), pages 835-869, July.
    9. Driessen, Joost & Laeven, Luc, 2007. "International portfolio diversification benefits: Cross-country evidence from a local perspective," Journal of Banking & Finance, Elsevier, vol. 31(6), pages 1693-1712, June.
    10. Yu, Keming & Moyeed, Rana A., 2001. "Bayesian quantile regression," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 437-447, October.
    11. Yue, Yu Ryan & Rue, Håvard, 2011. "Bayesian inference for additive mixed quantile regression models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 84-96, January.
    12. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    13. Takagi, Shinji, 2012. "Establishing Monetary Union in the Gulf Cooperation Council: What Lessons for Regional Cooperation?," ADBI Working Papers 390, Asian Development Bank Institute.
    14. Dries F. Benoit & Dirk Van den Poel, 2012. "Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1174-1188, November.
    15. Roger Koenker & Zhijie Xiao, 2002. "Inference on the Quantile Regression Process," Econometrica, Econometric Society, vol. 70(4), pages 1583-1612, July.
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    Cited by:

    1. Bouoiyour, Jamal & Selmi, Refk, 2016. "The infernal couple China-Oil Price and the Responses of G7 Equities: A QQ Approach," MPRA Paper 70379, University Library of Munich, Germany.

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    More about this item

    Keywords

    Arab Spring; Arab stock markets; financial integration.;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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