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Are Non-Conventional Banks More Resilient than Conventional Ones to Financial Crisis?

Author

Listed:
  • Amine Ben Amar

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

  • Ikrame Ben Slimane

    (ESSCA Research Lab - ESSCA - Ecole Supérieure des Sciences Commerciales d'Angers)

  • Makram Bellalah

    (CRIISEA - Centre de Recherche sur les Institutions, l'Industrie et les Systèmes Économiques d'Amiens - UR UPJV 3908 - UPJV - Université de Picardie Jules Verne)

Abstract

This paper presents empirical evidence of the impact of the recent global financial crises on Islamic and conventional banks in three GCC countries. Our assumptions are discussed within the framework of Khan (1976), Khan and Mirakhor (2005) and Chapra (2008). A diagonal BEKK model is used to examine the impact of the global crisis on conditional beta of the selected banks. Results show that Islamic and conventional banks have been largely affected by the global crisis, except for few banks. They reveal also that small banks have been less affected than larger banks. These results are in line with the other studies which have found that Islamic banks are not more resilient than conventional ones.

Suggested Citation

  • 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.
    • Handle: RePEc:hal:wpaper:hal-01455752
    Note: View the original document on HAL open archive server: https://hal.science/hal-01455752
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    References listed on IDEAS

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    1. Tomas Adam & Sona Benecka & Ivo Jansky, 2012. "Time-Varying Betas of Banking Sectors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(6), pages 485-504, December.
    2. Manganelli, Simone & Altunbas, Yener & Marqués-Ibáñez, David, 2011. "Bank risk during the financial crisis: do business models matter?," Working Paper Series 1394, European Central Bank.
    3. Munawar Iqbal & David T. Llewellyn (ed.), 2002. "Islamic Banking and Finance," Books, Edward Elgar Publishing, number 2499.
    4. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    5. Jing Yang & Kostas Tsatsaronis, 2012. "Bank stock returns, leverage and the business cycle," BIS Quarterly Review, Bank for International Settlements, March.
    6. 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.
    7. Eichengreen, Barry & Mody, Ashoka & Nedeljkovic, Milan & Sarno, Lucio, 2012. "How the Subprime Crisis went global: Evidence from bank credit default swap spreads," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1299-1318.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Feryel Ouerghi, 2014. "Are Islamic Banks More Resilient To Global Financial Crisis Than Conventional Banks?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(7), pages 941-955.
    10. Ms. Hélène Poirson & Jochen M. Schmittmann, 2013. "Risk Exposures and Financial Spillovers in Tranquil and Crisis Times: Bank-Level Evidence," IMF Working Papers 2013/142, International Monetary Fund.
    11. Mahmood Yousefi & Sohrab Abizadeh & Ken McCormick, 1997. "Monetary stability and interest-free banking: the case of Iran," Applied Economics, Taylor & Francis Journals, vol. 29(7), pages 869-876.
    12. Choudhry, Taufiq & Jayasekera, Ranadeva, 2012. "Comparison of efficiency characteristics between the banking sectors of US and UK during the global financial crisis of 2007–2011," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 106-116.
    13. Timur Kuran, 1995. "Islamic Economics and the Islamic Subeconomy," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 155-173, Fall.
    14. Feryel OUERGHI, 2014. "Are Islamic Banks More Resilient To Global Financial Crisis Than Conventional Banks?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(7), pages 941-955, July.
    15. Kuran, T., 1995. "Islamic Economics and the Islamic Subeconomy," Papers 9505, Southern California - Department of Economics.
    16. 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.
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    2. 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.

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    Keywords

    GCC countries; Islamic Banks; BEKK model; Pays du CCG; Banques islamiques; Résilience; Modèle BEKK;
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