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An Analysis of Spillovers Between Islamic and Conventional Stock Bank Returns: Evidence from the GCC Countries

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  • Slim Mseddi

    (Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Saidi Arabia)

  • Noureddine Benlagha

    (Qatar University, Qatar)

Abstract

This paper features an application of Diebold and Yilmaz's (2009) spillover index model to assess the impact of the global financial crisis on spillovers between the bank sectors in terms of both returns and volatility time series. The spillover investigation is performed on daily return data for Islamic and conventional banks in the Gulf Cooperation Council countries for the period 2005-2015. We use a dynamic conditional multivariate GARCH to directly model the time varying spillover effects among the studied time series. This study finds a strong bidirectional returns spillover between conventional banks and a very weak spillover from Islamic banks to conventional banks, so the transmission of shocks from Islamic banks to conventional banks is reduced. It also finds that the dependence between stock returns in an Islamic bank market structure is more strongly affected by the financial crisis than in a conventional bank market. Moreover, the volatility linkage is highly affected by the crisis in an Islamic context than that in a conventional bank system. Finally, using the DCC-GARCH model this study shows a high persistence in the time series of correlation among all GCC countries, except Bahrain, indicating that a long-run average of the correlation can be pushed away by shocks for a very long period. The empirical results are expected to have potentially important implications for improving the process of selection and allocation for domestic and international portfolios.

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  • Slim Mseddi & Noureddine Benlagha, 2017. "An Analysis of Spillovers Between Islamic and Conventional Stock Bank Returns: Evidence from the GCC Countries," Multinational Finance Journal, Multinational Finance Journal, vol. 21(2), pages 91-132, June.
  • Handle: RePEc:mfj:journl:v:21:y:2017:i:2:p:91-132
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    as
    1. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    2. Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011. "Volatility transmission in emerging European foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
    3. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    4. Noureddine BENLAGHA & Slim MSEDDI, 2016. "The Macroeconomic And Financial Impacts Of European Crisis On Saudi Arabia," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1).
    5. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
    6. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    7. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty," Department of Economics Working Paper Series 166, WU Vienna University of Economics and Business.
    8. Silvennoinen, Annastiina & Teräsvirta, Timo, 2007. "Multivariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 669, Stockholm School of Economics, revised 18 Jan 2008.
    9. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    10. Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
    11. Luis A. Gil‐alana, 2010. "Inflation In South Africa: A Time‐Series View Across Sectors Using Long‐Range Dependence," South African Journal of Economics, Economic Society of South Africa, vol. 78(4), pages 325-343, December.
    12. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
    13. Martin Čihák & Heiko Hesse, 2010. "Islamic Banks and Financial Stability: An Empirical Analysis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 38(2), pages 95-113, December.
    14. Antonakakis, Nikolaos & Vergos, Konstantinos, 2013. "Sovereign bond yield spillovers in the Euro zone during the financial and debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 258-272.
    15. M. Kabir Hassan & Mervyn K. Lewis, 2007. "Islamic Banking: An Introduction and Overview," Chapters, in: M. Kabir Hassan & Mervyn K. Lewis (ed.), Handbook of Islamic Banking, chapter 1, Edward Elgar Publishing.
    16. Grobys, Klaus, 2015. "Are volatility spillovers between currency and equity market driven by economic states? Evidence from the US economy," Economics Letters, Elsevier, vol. 127(C), pages 72-75.
    17. Mills,Terence C. & Markellos,Raphael N., 2008. "The Econometric Modelling of Financial Time Series," Cambridge Books, Cambridge University Press, number 9780521710091.
    18. Mills,Terence C. & Markellos,Raphael N., 2008. "The Econometric Modelling of Financial Time Series," Cambridge Books, Cambridge University Press, number 9780521883818.
    19. Panayiotis Theodossiou & Unro Lee, 1993. "Mean And Volatility Spillovers Across Major National Stock Markets: Further Empirical Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 16(4), pages 337-350, December.
    20. Paul Alagidede & Theodore Panagiotidis & Xu Zhang, 2011. "Causal relationship between stock prices and exchange rates," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 20(1), pages 67-86.
    21. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    22. Zhang, Bing & Wang, Peijie, 2014. "Return and volatility spillovers between china and world oil markets," Economic Modelling, Elsevier, vol. 42(C), pages 413-420.
    23. Chiang, Shu-Mei & Chen, Hsin-Fu & Lin, Chi-Tai, 2013. "The spillover effects of the sub-prime mortgage crisis and optimum asset allocation in the BRICV stock markets," Global Finance Journal, Elsevier, vol. 24(1), pages 30-43.
    24. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 241-256, June.
    25. Gilenko, Evgenii & Fedorova, Elena, 2014. "Internal and external spillover effects for the BRIC countries: Multivariate GARCH-in-mean approach," Research in International Business and Finance, Elsevier, vol. 31(C), pages 32-45.
    26. Antonakakis, Nikolaos & Kizys, Renatas, 2015. "Dynamic spillovers between commodity and currency markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 303-319.
    27. Noureddine Benlagha, 2014. "Dependence structure between nominal and index-linked bond returns: a bivariate copula and DCC-GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3849-3860, November.
    28. Amine Ben Amar & Ikrame Ben Slimane & Makram Bellalah, 2017. "Are Non-Conventional Banks More Resilient than Conventional Ones to Financial Crisis?," Working Papers hal-01455752, HAL.
    29. 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.
    30. M. Kabir Hassan & Mervyn K. Lewis (ed.), 2007. "Handbook of Islamic Banking," Books, Edward Elgar Publishing, number 3621.
    31. Bekiros, Stelios D., 2014. "Contagion, decoupling and the spillover effects of the US financial crisis: Evidence from the BRIC markets," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 58-69.
    32. Bjorn Hansson & Peter Hordahl, 1998. "Testing the conditional CAPM using multivariate GARCH-M," Applied Financial Economics, Taylor & Francis Journals, vol. 8(4), pages 377-388.
    33. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
    34. Engle, Robert & Colacito, Riccardo, 2006. "Testing and Valuing Dynamic Correlations for Asset Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 238-253, April.
    35. Theodossiou, Panayiotis, et al, 1997. "Volatility Reversion and Correlation Structure of Returns in Major International Stock Markets," The Financial Review, Eastern Finance Association, vol. 32(2), pages 205-224, May.
    36. Xavier Freixas & Curzio Giannini & Glenn Hoggarth & Farouk Soussa, 2000. "Lender of Last Resort: What Have We Learned Since Bagehot?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 18(1), pages 63-84, October.
    37. Duncan, Andrew S. & Kabundi, Alain, 2013. "Domestic and foreign sources of volatility spillover to South African asset classes," Economic Modelling, Elsevier, vol. 31(C), pages 566-573.
    38. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    39. Zhou, Xiangyi & Zhang, Weijin & Zhang, Jie, 2012. "Volatility spillovers between the Chinese and world equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 247-270.
    40. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
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    2. Hasan, Md Abu, 2019. "Co-Movement and Volatility Transmission between Islamic and Conventional Equity Index in Bangladesh," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 26, pages 43-71.
    3. Mohamed Ben Mimoun, 2021. "Stability of Conventional and Islamic banks, externalities and resilience to crises: evidences from comprehensive Saudi banks' time-series data," Economics Bulletin, AccessEcon, vol. 41(3), pages 1165-1179.

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