2016
DOI: 10.1016/j.rfe.2016.06.004
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Banking efficiency in Gulf Cooperation Council (GCC) countries: A comparative study

Abstract: We measure cost and profit efficiencies of banks operating in six GCC countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) using heteroskedastic stochastic frontier (HSF) models. Our results show that measures of cost and profit efficiencies of banks vary widely across the six gulf countries over the same period.We examine whether cost and profit efficiencies of Islamic banks are significantly different from that of conventional banks. After allowing for bank risk, asset quality… Show more

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Cited by 28 publications
(21 citation statements)
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“…Whereas global data indicates a direct similarity in efficiency between conventional and Islamic banks over the period from 2006-2012, within the GCC, conventional banks have been found to outperform Islamic banks, particularly when Islamic banks are state-owned institutions (Alquahtani et al, 2017). Such findings have been further confirmed by Mohanty et al (2016) who revealed a high degree of intra-regional volatility affecting banking efficiency in Islamic banks that has led to regionally-specific volatility in cost and profit efficiencies when compared with conventional banking institutions. Whereby this efficiency variation might signal a higher degree of insecurity or inconsistency in Islamic banks, a multi-decadal study presented by Nosheen and Rashid (2019) revealed greater performance over conventional institutions during periods of volatility in terms of both credit quality and institutional stability, a finding that is directly related to financial provisioning.…”
Section: Performance Indicatorsmentioning
confidence: 63%
See 1 more Smart Citation
“…Whereas global data indicates a direct similarity in efficiency between conventional and Islamic banks over the period from 2006-2012, within the GCC, conventional banks have been found to outperform Islamic banks, particularly when Islamic banks are state-owned institutions (Alquahtani et al, 2017). Such findings have been further confirmed by Mohanty et al (2016) who revealed a high degree of intra-regional volatility affecting banking efficiency in Islamic banks that has led to regionally-specific volatility in cost and profit efficiencies when compared with conventional banking institutions. Whereby this efficiency variation might signal a higher degree of insecurity or inconsistency in Islamic banks, a multi-decadal study presented by Nosheen and Rashid (2019) revealed greater performance over conventional institutions during periods of volatility in terms of both credit quality and institutional stability, a finding that is directly related to financial provisioning.…”
Section: Performance Indicatorsmentioning
confidence: 63%
“…Ara, 2016) has important implications for comparing Islamic and conventional banking practices. Specifically, the narrow banding of Islamic finance relative to region specific institutions (see Mohanty et al, 2016) has the potential to create systemic vulnerabilities that bias and restrict the trans-national applicability of the results. As an increasingly larger number of conventional banks are adopting Sharia-compliant solutions, such methodological limitations restrict the potential for exploratory comparisons and structural insights that can be linked to banking modality rather than economic system.…”
Section: Bias and Concernsmentioning
confidence: 99%
“…Numerous studies comparing IBs and CBs from different countries have found that the efficiency levels of IBs and CBs are very similar (Mollah and Zaman, 2015;Daly and Frikha, 2015;Djennas, 2016;Hisham Yahya et al, 2012;Johnes et al, 2014;Marie et al,2013;Mohanty et al, 2016).…”
Section: Comparison Of Islamic Banking With Conventional Bankingmentioning
confidence: 98%
“…In addition, this research refers to the two-stage GMM method, with robust standard errors in order to resolve the error heteroskedasticity and autocorrelation problems. Mohanty et al, 2016 ;Ghroubi and Abaoub, 2016 Tan and Anchor, 2017…”
Section: Figure 1: Meta Frontier Functionmentioning
confidence: 99%