Bouoiyour, Jamal and Selmi, Refk and Miftah, Amal (2015): “Every cloud has a silver lining”; to what extent does the Arab Spring accelerate the integration among Arab monarchies?
Preview |
PDF
MPRA_paper_70942.PDF Download (1MB) | Preview |
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.
Item Type: | MPRA Paper |
---|---|
Original Title: | “Every cloud has a silver lining”; to what extent does the Arab Spring accelerate the integration among Arab monarchies? |
Language: | English |
Keywords: | Arab Spring; Arab stock markets; financial integration. |
Subjects: | G - Financial Economics > G1 - General Financial Markets G - Financial Economics > G1 - General Financial Markets > G10 - General G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 70942 |
Depositing User: | R. Selmi |
Date Deposited: | 25 Apr 2016 15:21 |
Last Modified: | 08 Oct 2019 19:35 |
References: | Bekaert, G., and Urias, M.S. (1995). Diversification, Integration and Emerging Market Closed-End Funds. NBER Working Papers 4990, National Bureau of Economic Research, Inc. Benoit, D.F. and Poel, D.V. (2012). Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution. Journal of Applied Econometrics, 27(7), pp. 1174-1188. Billio, M. And Caporin, M. (2005). Multivariate Markov Switching Conditional Correlation GARCH representations for Contagion analysis. Working paper n°5, University of Venezia. Billio, M., Caporin, M. and Gobbo, M. (2006). Flexible Dynamic Conditional Correlation multivariate GARCH models for asset allocation, Applied Financial Economics Letters, 2(2), pp. 123-130. Bollerslev, T., Engle, R.F and Nelson, D.B., (1993). ARCH models. In: Handbook of Econometrics IV. Bouoiyour J., Miftah A., and Selmi R. (2015). Can North African stocks hedge against inflation? Insights from quantile regression. Working paper, CATT, University of Pau. CDVM report (2014). Foreign investment in Casablanca stock exchange. June. http://www.cdvm.gov.ma/sites/default/files/Stats_RIE_2013_20140610_Eng.pdf Dahel, R. and Laabas, B. (1999). The Behavior of Stock Prices in the GCC Markets. Journal of Development & Economic Policies, 1, pp. 89-105. Ding, Z. (1994). Time series analysis of speculative returns. PhD thesis, University of California, San Diego. Ding, Z. and Engle, R., (2001). Large scale conditional covariance modelling, estimation and testing. Academia Economic Papers, 29, pp. 157-184. Driessen, J., and Laeven, L. (2007). International portfolio diversification benefits: cross-country evidence from a Local Perspective. Journal of Banking and finance, 31 (6), pp 1693–1712. Engle, R.F., (2002). Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20, pp. 339-350. Fahrmeir, L., Kneib, T., Lang, S. and Marx, B. (2013). Regression: Models, methods and applications, 1st ed. Berlin: Springer. Heathcote, J and Perri, F. (2004). Financial globalization and real regionalization. Journal of Economic Theory, Vol 119, Issue 1, pp 207–243 IMF (2010, 2014). Global Financial Stability Report, April 2010/ October 2014. IMF (2012). Economic Prospects and Policy Challenges for the GCC Countries. Annual Meeting of Ministers of Finance and Central Bank Governors October 5–6 2012, Saudi Arabia. Joost, D. and Luc, L. (2007). International Portfolio Diversification Benefits: Cross-Country Evidence from a Local Perspective. Journal of Banking and finance, 31 (6), pp. 1693–1712. Kern, S (2012). GCC financial markets Long-term prospects for finance in the Gulf region. Deutsche Bank AG. Koenker, R., Xiao, Z., (2002). Inference on the quantile regression process. Econometrica, 70(4), pp. 1583-1612. Koenker, R. (2005), Quantile regression. Cambridge. Lee, B-S. (1992). Causal relations among stock returns, interest rates, real activity and inflation. Journal of Finance, 47, pp. 1591-1604. Ling, S. and McAleer, M. (2003). Asymptotic theory for a vector ARMA-GARCH model. Econometric Theory, 19, pp. 278-308. Maghyereh, A and AL-Kandari, A (2007). Oil prices and stock markets in GCC countries: new evidence from nonlinear co-integration analysis. Managerial Finance, 33, 449-460. OECD (2014). Privatisation and Demutualisation of MENA Stock Exchanges: To be or not to be? OECD Editions. Ramady, M.A. (2013). Political, Economic and Financial Country Risk: Analysis of the Gulf. Sorensen, B., Yi-Tsung, W., Oved, Y., and Yu, Z. (2007). Home bias and international risk sharing: Twin puzzles seperated at birth. Journal of International Money and Finance, 26 (4), pp. 587-605. Takagi (2012). Establishing Monetary Union in the Gulf Cooperation Council: What Lessons for Regional Cooperation? Ulrichsen, K.C (2013). Global: the evolving role of Gulf countries in the Middle East and North Africa and beyond. Yu, K., Moyeed, R-A. (2001), Bayesian quantile regression. Statistics and Probability Letters, 54, pp. 437-447. Yue, Y. and Rue, H. (2011). Bayesian inference for additive mixed quantile regression models. Computational Statistics and Data Analysis, 55, pp. 84–96. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/70942 |