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Do Islamic and Conventional Banks Really Differ? A Panel Data Statistical Analysis

Author

Listed:
  • Fredj Jawadi

    (University of Evry Val d’Essone)

  • Abdoulkarim Idi Cheffou

    (EDC Paris Business School)

  • Nabila Jawadi

    (IPAG Business School, Paris-Nice, IPAG LAB)

Abstract

This study compares two types of banks: conventional banks and Islamic banks. Indeed, since the aftermath of the credit crunch and the global financial crisis (2008–2009), the former have been severely criticized, while the latter are increasingly considered as an alternative form of banking. From a panel sample of twenty major banks (ten conventional banks and ten Islamic banks) located in various developed and emerging countries over the period April 2006- February 2013, the present paper examines whether or not there are significant differences between the two banking systems. Our sample enables us to compare these international banking systems, taking the crisis impact and new regulations and supervisory rules into account. To this effect, we carried out econometric analyses of univariate and multivariate panel data, which pointed to two interesting findings. First, there are only a few significant differences between IBs and CBs in terms of financial risk. Second, PVAR (Panel Vector Autoregressive) estimates and the analysis of Impulse Response Functions (IRFs) indicate weak interactions between IBs and CBs, while panel causality tests reject the causality hypothesis from IBs to CBs.

Suggested Citation

  • Fredj Jawadi & Abdoulkarim Idi Cheffou & Nabila Jawadi, 2016. "Do Islamic and Conventional Banks Really Differ? A Panel Data Statistical Analysis," Open Economies Review, Springer, vol. 27(2), pages 293-302, April.
  • Handle: RePEc:kap:openec:v:27:y:2016:i:2:d:10.1007_s11079-015-9373-9
    DOI: 10.1007/s11079-015-9373-9
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    References listed on IDEAS

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    Cited by:

    1. Jawadi, Fredj & Jawadi, Nabila & Idi Cheffou, Abdoulkarim & Ben Ameur, Hachmi & Louhichi, Wael, 2017. "Modelling the effect of the geographical environment on Islamic banking performance: A panel quantile regression analysis," Economic Modelling, Elsevier, vol. 67(C), pages 300-306.
    2. Fredj Jawadi & Abdoulkarim Idi Cheffou & Nabila Jawadi, 2016. "Can the Islamic bank be an emerging leader? A panel data causality analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 23(14), pages 991-994, September.
    3. Hasnie, Syed Sharjeel Ahmad & Collazzo, Pablo & Hassan, M. Kabir, 2022. "Risk assessment of equity-based conventional and islamic stock portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 363-378.
    4. Ibrahim, Mansor H. & Rizvi, Syed Aun R., 2018. "Bank lending, deposits and risk-taking in times of crisis: A panel analysis of Islamic and conventional banks," Emerging Markets Review, Elsevier, vol. 35(C), pages 31-47.
    5. Mahmoud Al-Rdaydeh & Ali Matar & Odai Alghzwai, 2017. "Analyzing the Effect of Credit and Liquidity Risks on Profitability of Conventional and Islamic Jordanian Banks," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(12), pages 1145-1155, December.
    6. Trad, Naama & Trabelsi, Mohamed Ali & Goux, Jean François, 2017. "Risk And Profi Tability Of Islamic Banks: A Religious Deception Or An Alternative Solution?," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 23(1), pages 40-45.
    7. Fredj Jawadi & Abdoulkarim Idi Cheffou & Nabila Jawadi & Wael Louhichi, 2016. "On the Reputation of Islamic Banks: a Panel Data Qualitative Econometrics Analysis," Open Economies Review, Springer, vol. 27(5), pages 987-998, November.
    8. Riyad Moosa, 2023. "An Overview of Islamic Accounting: The Murabaha Contract," JRFM, MDPI, vol. 16(7), pages 1-15, July.

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    More about this item

    Keywords

    Conventional and Islamic banks; Financial crisis; Reputation; Panel data;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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