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Re-Examining the Determinants of Islamic Bank Performance: New Evidence from Dynamic GMM, Quantile Regression, and Wavelet Coherence Approaches

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  • Mohammad Ashraful Ferdous Chowdhury
  • Md. Mahmudul Haque
  • Mansur Masih
Abstract
This study is the first attempt to conduct a comparative analysis of the internal and external determinants of the Islamic banks’ profitability in the GCC region applying dynamic GMM, quantile regression, and wavelet coherence approaches. The dynamic GMM tends to indicate that equity financing and operating efficiency and macroeconomic variables such as money supply, and inflation are significantly related to Islamic banks’ performance. The bank-specific variables such as credit risk, equity ratio, and cost-efficiency ratios are not significant at different percentiles. ROA is driven by credit risk, equity ratio, and cost-efficiency ratios (as evidenced in wavelet coherence analysis).

Suggested Citation

  • Mohammad Ashraful Ferdous Chowdhury & Md. Mahmudul Haque & Mansur Masih, 2017. "Re-Examining the Determinants of Islamic Bank Performance: New Evidence from Dynamic GMM, Quantile Regression, and Wavelet Coherence Approaches," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(7), pages 1519-1534, July.
  • Handle: RePEc:mes:emfitr:v:53:y:2017:i:7:p:1519-1534
    DOI: 10.1080/1540496X.2016.1250076
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    Citations

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    Cited by:

    1. Neifar, Malika, 2020. "Interest-free versus Conventional banks- A Comparative Study using Linear and Nonlinear Panel Regression: Empirical Evidence from Turky and 6 MENA countries," MPRA Paper 101028, University Library of Munich, Germany.
    2. Cham, Tamsir, 2017. "Determinants of Islamic Banking Growth: An Empirical Analysis," Working Papers 2017-7, The Islamic Research and Teaching Institute (IRTI).
    3. Muhammad Afaq Haider & Qasim Raza & Soniya Jameel & Khansa Pervaiz, 2019. "A Comparative Study of Operational Efficiency of Pakistani and Malaysian Islamic Banks: Data Envelopment Analysis Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(5), pages 559-580, May.
    4. Jabir Esmaeil & Husam Rjoub & Wing-Keung Wong, 2020. "Do Oil Price Shocks and Other Factors Create Bigger Impacts on Islamic Banks than Conventional Banks?," Energies, MDPI, vol. 13(12), pages 1-16, June.
    5. Assad Ullah & Xinshun Zhao & Muhammad Abdul Kamal & Adeel Riaz & Bowen Zheng, 2021. "Exploring asymmetric relationship between Islamic banking development and economic growth in Pakistan: Fresh evidence from a non‐linear ARDL approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6168-6187, October.
    6. Najam, Hina & Abbas, Jawad & Álvarez-Otero, Susana & Dogan, Eyup & Sial, Muhammad Safdar, 2022. "Towards green recovery: Can banks achieve financial sustainability through income diversification in ASEAN countries?," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 522-533.
    7. Herenia Gutiérrez-Ponce & Sigit Arie Wibowo, 2023. "Do Sustainability Activities Affect the Financial Performance of Banks? The Case of Indonesian Banks," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    8. Cikiryel, Burak & Masih, Mansur, 2017. "The Impact of Brexit on Islamic Stock Markets Employing MGARCH-DCC and Wavelet Correlation Analysis," MPRA Paper 95681, University Library of Munich, Germany.
    9. Alqahtani, Faisal & Mayes, David G., 2018. "Financial stability of Islamic banking and the global financial crisis: Evidence from the Gulf Cooperation Council," Economic Systems, Elsevier, vol. 42(2), pages 346-360.
    10. Neifar, Malika, 2020. "Different dimensions Bank performance comparisons IBs vs CBs – Quatar case," MPRA Paper 101375, University Library of Munich, Germany.
    11. Ibrahim, Mansor H. & Salim, Kinan & Abojeib, Moutaz & Yeap, Lau Wee, 2019. "Structural changes, competition and bank stability in Malaysia’s dual banking system," Economic Systems, Elsevier, vol. 43(1), pages 111-129.

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