This paper presents an efficiency assessment of the Malaysian dual banking system using the Dynamic Slacks Based Model (DSBM) in order to assess the evolution of Malaysian Banks’ potential input–saving/output–increase from 2009 to 2013. More precisely, DSBM is used first in a two-stage approach to assess the relative efficiency of Malaysian Islamic and conventional banks by emulating the CAMEL rating systems. Then, in the second stage, Monte Carlo Markov Chain (MCMC) methods applied to generalized linear mixed models (GLMM) are combined with DSBM results as part of an attempt to produce a model for banking performance assessment with effective predictive ability. Results indicate higher inefficiency levels and slacks in Islamic banks when compared to conventional ones. Furthermore, when the scope of analysis is the group of Malaysian Islamic banks, the efficiency levels of foreign banks are lower compared to their national counterparts, suggesting regulatory and cultural barriers. Policy implications are derived.

Using a dataset of 7635 observations on 1384 commercial banks operating in the EU between 1993 and 2001, we utilise a mixed logit model to identify factors that explain the probability of a bank being a best [worst] performer. The empirical evidence confirms the importance of country-level characteristics (location and legal tradition), and firm-level features (bank ownership, balance sheet structure and size). Specifically, smaller sized banks with higher loan-intensity, and foreign banks from countries upholding common law traditions have a higher probability of best performance.