Publication:
Re-examining the determinants of Islamic bank performance: new evidence from dynamic GMM, quantile regression, and wavelet coherence approaches
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Date
2017
SDG:
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).
Keywords
Bank-specific and macroeconomic determinants , Financial performance , GMM , Quantile regression , Wavelet coherence
Citation
Chowdhury, M. A. F., Haque, M. M., & Mohammed Masih, A. M. (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, 53(7), 1519-1534. https://doi.org/10.1080/1540496X.2016.1250076
Publisher
Taylor & Francis