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On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis

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  • Ben Rejeb, Aymen

Abstract

This paper aims at analyzing the degree and structure of interdependencies in terms of volatility (transmission, contagion) between Islamic and conventional stock markets on calm periods and at times of financial fragility and crisis. We focused on the recent financial instability periods and used the Quantile Regression-based GARCH model. Main results lead to very interesting conclusions. First, it has been found that Islamic stock markets are not totally immune to the global financial crisis. Second, a very strong interdependence is sensed from the conventional to the Islamic stock markets, especially, from the conventional developed markets to the Islamic Emerging and Arab markets and to the Islamic developed markets. Finally, it has been proved that the interdependencies from conventional to Islamic markets are propagated between Islamic markets. Our findings suggest that the Islamic finance industry does not seem able to provide cushion against economic and financial shocks that affect conventional markets.

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  • Ben Rejeb, Aymen, 2017. "On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 794-815.
  • Handle: RePEc:eee:riibaf:v:42:y:2017:i:c:p:794-815
    DOI: 10.1016/j.ribaf.2017.07.017
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    1. Hammoudeh, Shawkat & Mensi, Walid & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Dynamic dependence of the global Islamic equity index with global conventional equity market indices and risk factors," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 189-206.
    2. Lee, Bong Soo & Li, Ming-Yuan Leon, 2012. "Diversification and risk-adjusted performance: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2157-2173.
    3. Saban Nazlioglu & Shawkat Hammoudeh & Rangan Gupta, 2015. "Volatility transmission between Islamic and conventional equity markets: evidence from causality-in-variance test," Applied Economics, Taylor & Francis Journals, vol. 47(46), pages 4996-5011, October.
    4. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
    5. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.
    6. Chuang, Chia-Chang & Kuan, Chung-Ming & Lin, Hsin-Yi, 2009. "Causality in quantiles and dynamic stock return-volume relations," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1351-1360, July.
    7. Moshe Buchinsky & Phillip Leslie, 2010. "Educational Attainment and the Changing U.S. Wage Structure: Dynamic Implications on Young Individuals' Choices," Journal of Labor Economics, University of Chicago Press, vol. 28(3), pages 541-594, July.
    8. M. Kabir Hassan & Mervyn K. Lewis (ed.), 2007. "Handbook of Islamic Banking," Books, Edward Elgar Publishing, number 3621.
    9. Habib Ahmed & Tariqullah Khan, 2007. "Risk Management in Islamic Banking," Chapters, in: M. Kabir Hassan & Mervyn K. Lewis (ed.), Handbook of Islamic Banking, chapter 10, Edward Elgar Publishing.
    10. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    11. Al-Khazali, Osamah & Lean, Hooi Hooi & Samet, Anis, 2014. "Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 29-46.
    12. Daniel B. Nelson, 1994. "Asymptotically Optimal Smoothing with ARCH Models," NBER Technical Working Papers 0161, National Bureau of Economic Research, Inc.
    13. El-Hawary & Dahlia & Grais, Wafik & Iqbal, Zamir, 2004. "Regulating islamic financial institutions : The nature of the regulated," Policy Research Working Paper Series 3227, The World Bank.
    14. Moshe Buchinsky & Jennifer Hunt, 1999. "Wage Mobility In The United States," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 351-368, August.
    15. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    16. Baur, Dirk G., 2013. "The structure and degree of dependence: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 786-798.
    17. Eric R. Eide & Mark H. Showalter, 1999. "Factors Affecting the Transmission of Earnings across Generations: A Quantile Regression Approach," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 253-267.
    18. Nikkinen, Jussi & Omran, Mohammad M. & Sahlstrom, Petri & Aijo, Janne, 2008. "Stock returns and volatility following the September 11 attacks: Evidence from 53 equity markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 27-46.
    19. Mohamed Albaity & Rubi Ahmad, 2008. "Performance of Syariah and Composite Indices: Evidence from Bursa Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 4(1), pages 23-43.
    20. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    21. Kamel Malik Bensafta & Semedo Gervasio, 2011. "Chocs, chocs de volatilité et contagion entre les marchés boursiers. Application d'un modèle icss-mgarch," Revue économique, Presses de Sciences-Po, vol. 62(2), pages 277-311.
    22. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sarafrazi, Soodabeh, 2014. "How strong are the causal relationships between Islamic stock markets and conventional financial systems? Evidence from linear and nonlinear tests," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 213-227.
    23. Ho, Catherine Soke Fun & Abd Rahman, Nurul Afiqah & Yusuf, Noor Hafizha Muhamad & Zamzamin, Zaminor, 2014. "Performance of global Islamic versus conventional share indices: International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 110-121.
    24. Rosylin Mohd. Yusof & Shabri Abd. Majid, 2007. "Stock Market Volatility Transmission in Malaysia: Islamic Versus Conventional Stock Market تأثير التقلبات في البورصة الماليزية: مقارنة سوق البورصة التقليدية بالإسلامية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 20(2), pages 17-35, January.
    25. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    26. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    27. Charles, Amelie & Darne, Olivier, 2006. "Large shocks and the September 11th terrorist attacks on international stock markets," Economic Modelling, Elsevier, vol. 23(4), pages 683-698, July.
    28. Corbae,Dean & Durlauf,Steven N. & Hansen,Bruce E. (ed.), 2006. "Econometric Theory and Practice," Cambridge Books, Cambridge University Press, number 9780521807234.
    29. Khan, Tariqullah & Ahmed, Habib, 2001. "Risk Management: An Analysis of Issues in Islamic Financial Industry (Occasional Paper)," Occasional Papers 2001, The Islamic Research and Teaching Institute (IRTI).
    30. Mr. Jemma Dridi & Maher Hasan, 2010. "The Effects of the Global Crisison Islamic and Conventional Banks: A Comparative Study," IMF Working Papers 2010/201, International Monetary Fund.
    31. Hussein, Khaled A., 2004. "Ethical Investment: Empirical Evidence From Ftse Islamic Index," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 12, pages 22-40.
    32. Pascal Fontaine & D. N'Guyen, 2006. "Stock market liberalization and information efficiency in emerging markets," Post-Print halshs-00103041, HAL.
    33. Majdoub, Jihed & Mansour, Walid, 2014. "Islamic equity market integration and volatility spillover between emerging and US stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 452-470.
    34. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    35. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    36. Hayat, Raphie & Kraeussl, Roman, 2011. "Risk and return characteristics of Islamic equity funds," Emerging Markets Review, Elsevier, vol. 12(2), pages 189-203, June.
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    8. Delle Foglie, Andrea & Panetta, Ida Claudia, 2020. "Islamic stock market versus conventional: Are islamic investing a ‘Safe Haven’ for investors? A systematic literature review," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).

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    More about this item

    Keywords

    Quantile regression; Financial fragility; Subprime crisis; Islamic stock markets; Conventional stock markets;
    All these keywords.

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G1 - Financial Economics - - General Financial Markets

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