Resiliency between Islamic and conventional banks in Bangladesh: Dynamic GMM and quantile regression approaches

Abstract

Purpose

The purpose of this paper is to examine the resiliency between conventional banks (CBs) and Islamic banks (IBs) in Bangladesh at the financial crisis, pre-crisis and post-crisis period.

Design/methodology/approach

Data from 25 banks, 18 CBs and 7 IBs, operating in Bangladesh during the period 2005-2014 have been collected and divided into three stages: the pre-crisis period (2005-2006), the crisis period (2007-2008) and the post-crisis period (2009-2014). Dynamic generalized method of moments and quantile regression analysis have been used for this study.

Findings

This paper uses Z-score as an indicator of bank stability and found a significant difference in stability between IBs and CBs during the financial crisis. In addition, this paper also tries to identify the type of banks that performed better during pre-crisis, crisis and post-crisis periods but found no significant differences between IBs and CBs in this regards. For robustness, quantile regression found that the statistical significance level of credit risk, capital adequacy ratio and efficiency ratio of CBs and IBs differ at different percentile.

Originality/value

Most of the previous studies were conceptual or narrative and conducted on a global basis, not country-specific. To filling the country-level research gap, this study provides a meaningful insight about how these two types of banks performed in different periods.

Citation

Uddin, A., Chowdhury, M.A.F. and Islam, M.N. (2017), "Resiliency between Islamic and conventional banks in Bangladesh: Dynamic GMM and quantile regression approaches", International Journal of Islamic and Middle Eastern Finance and Management, Vol. 10 No. 3, pp. 400-418. https://doi.org/10.1108/IMEFM-06-2016-0083