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To debt or not to debt: Are Islamic banks less risky than conventional banks?

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  • Sorwar, Ghulam
  • Pappas, Vasileios
  • Pereira, John
  • Nurullah, Mohamed

Abstract

We empirically analyze the market risk profiles of Islamic banks with two sets of conventional banks taken from the same geographical locations as Islamic banks and from a random global sample respectively for the period 2000–2013. Moreover, we divided our sample period into pre-financial crisis, during financial and post financial crisis. Estimates of Value-at-Risk (VaR) and Expected Shortfall (ES) which incorporates losses beyond VaR are used as market risk measures for both univariate and multivariate portfolios. Our key input is the share price by market capitalization of publicly traded banks of similar size in Islamic and non-Islamic countries. Univariate analysis finds no discernible differences between Islamic and conventional banks. However, dynamic correlations obtained via a multivariate setting shows Islamic banks to be less riskier for both sets of conventional banks; and especially so during the recent global financial crisis. The policy implications are: (i) that the inclusion of Islamic banks within asset portfolios may mitigate potential risk; (ii) that the Basel committee should consider the ES measure of risk for Islamic banks in preference to the current VaR methodology, which over-estimates the market risk of Islamic banks.

Suggested Citation

  • Sorwar, Ghulam & Pappas, Vasileios & Pereira, John & Nurullah, Mohamed, 2016. "To debt or not to debt: Are Islamic banks less risky than conventional banks?," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 113-126.
  • Handle: RePEc:eee:jeborg:v:132:y:2016:i:s:p:113-126
    DOI: 10.1016/j.jebo.2016.10.012
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    References listed on IDEAS

    as
    1. Pejman Abedifar & Philip Molyneux & Amine Tarazi, 2013. "Risk in Islamic Banking," Review of Finance, European Finance Association, vol. 17(6), pages 2035-2096.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Ashraf, Dawood & Rizwan, Muhammad Suhail & L’Huillier, Barbara, 2016. "A net stable funding ratio for Islamic banks and its impact on financial stability: An international investigation," Journal of Financial Stability, Elsevier, vol. 25(C), pages 47-57.
    4. 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.
    5. Saeed, Momna & Izzeldin, Marwan, 2016. "Examining the relationship between default risk and efficiency in Islamic and conventional banks," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 127-154.
    6. Abdelsalam, Omneya & Dimitropoulos, Panagiotis & Elnahass, Marwa & Leventis, Stergios, 2016. "Earnings management behaviors under different monitoring mechanisms: The case of Islamic and conventional banks," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 155-173.
    7. repec:ipg:wpaper:2014-091 is not listed on IDEAS
    8. Baele, Lieven & Farooq, Moazzam & Ongena, Steven, 2014. "Of religion and redemption: Evidence from default on Islamic loans," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 141-159.
    9. Kevin Dowd & John Cotter & Ghulam Sorwar, 2008. "Spectral Risk Measures: Properties and Limitations," Journal of Financial Services Research, Springer;Western Finance Association, vol. 34(1), pages 61-75, August.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    11. Rajan, Raghuram G & Zingales, Luigi, 1995. " What Do We Know about Capital Structure? Some Evidence from International Data," Journal of Finance, American Finance Association, vol. 50(5), pages 1421-1460, December.
    12. Charles W. Calomiris & Berry Wilson, 2004. "Bank Capital and Portfolio Management: The 1930s "Capital Crunch" and the Scramble to Shed Risk," The Journal of Business, University of Chicago Press, vol. 77(3), pages 421-456, July.
    13. Christoffersen, Peter F, 1998. "Evaluating Interval Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-862, November.
    14. Reint Gropp & Florian Heider, 2010. "The Determinants of Bank Capital Structure," Review of Finance, European Finance Association, vol. 14(4), pages 587-622.
    15. el Alaoui, Abdelkader O. & Dewandaru, Ginanjar & Azhar Rosly, Saiful & Masih, Mansur, 2015. "Linkages and co-movement between international stock market returns: Case of Dow Jones Islamic Dubai Financial Market index," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 53-70.
    16. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    17. Ashraf, Dawood & Ramady, Mohamed & Albinali, Khalid, 2016. "Financial fragility of banks, ownership structure and income diversification: Empirical evidence from the GCC region," Research in International Business and Finance, Elsevier, vol. 38(C), pages 56-68.
    18. Breitenfellner, Bastian & Wagner, Niklas, 2012. "Explaining aggregate credit default swap spreads," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 18-29.
    19. Chong, Beng Soon & Liu, Ming-Hua, 2009. "Islamic banking: Interest-free or interest-based?," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 125-144, January.
    20. Mark J. Flannery & Kasturi P. Rangan, 2008. "What Caused the Bank Capital Build-up of the 1990s?," Review of Finance, European Finance Association, vol. 12(2), pages 391-429.
    21. Mollah, Sabur & Zaman, Mahbub, 2015. "Shari’ah supervision, corporate governance and performance: Conventional vs. Islamic banks," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 418-435.
    22. Zhu, Dongming & Galbraith, John W., 2011. "Modeling and forecasting expected shortfall with the generalized asymmetric Student-t and asymmetric exponential power distributions," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 765-778, September.
    23. Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013. "Islamic vs. conventional banking: Business model, efficiency and stability," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
    24. Khan, Feisal, 2010. "How 'Islamic' is Islamic Banking?," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 805-820, December.
    25. Marliana Abdullah & Shahida Shahimi & Abdul Ghafar Ismail, 2011. "Operational risk in Islamic banks: examination of issues," Qualitative Research in Financial Markets, Emerald Group Publishing, vol. 3(2), pages 131-151, June.
    26. Dias, Alexandra, 2013. "Market capitalization and Value-at-Risk," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5248-5260.
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    1. repec:eee:finsta:v:34:y:2018:i:c:p:12-43 is not listed on IDEAS

    More about this item

    Keywords

    Islamic finance; Value at risk; Expected shortfall; Capital structure;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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