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

  • Mohammad Ashraful Ferdous Chowdhury*
  • , Md Mahmudul Haque
  • , Mansur Masih
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

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).

Original languageEnglish
Pages (from-to)1519-1534
Number of pages16
JournalEmerging Markets Finance and Trade
Volume53
Issue number7
DOIs
StatePublished - 3 Jul 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © Taylor & Francis Group, LLC.

Keywords

  • GMM
  • bank-specific and macroeconomic determinants
  • financial performance
  • quantile regression
  • wavelet coherence

ASJC Scopus subject areas

  • Finance
  • General Economics, Econometrics and Finance

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