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The purpose of this paper is to investigate how bank-specific factors affect the riskiness of conventional and Islamic banks in response to shocks in major financial indices as market conditions change.

The authors use a multivariate quantile model using daily equity returns data to analyze financial risk spillovers in the values at risk that may occur between major financial indices and the equity prices of conventional and Islamic banks worldwide. Then, using both quantile and quantile-on-quantile models, the authors examine the effects of bank-specific variables such as leverage ratio, bank size, return on equity and capital adequacy ratio on the initial impact of shocks in major global financial indices on bank equity price returns at different quantiles of shocks and bank-specific variables.

The findings reveal that major financial indices can predict bank stock returns. Moreover, the authors find that the effect of bank-specific factors on the riskiness of banks is heterogeneous in that it depends on the bank type (Islamic vs conventional), the level of banking variable (high vs low) and, more importantly, market conditions.

To the best of the authors’ knowledge, this is the first study that compares the dual banking system with stock market performance while considering bank-specific variables as market conditions change. The results of this study reveal that the effect of bank-specific variables on bank performance varies according to different quantiles of shocks and bank-specific variables. Islamic banks may echo or differ from conventional banks depending on the specific factor under investigation.

This study explores, first, the performance effect (accounting- and market-based performance) of intellectual capital (IC), measured using the value-added intellectual coefficient (VAIC) and its modified version (MVAIC), on Islamic and conventional listed banks in Gulf Cooperation Council (GCC) countries and, second, whether Islamic banks outperform conventional banks in utilising IC.

Using resource-based view theory and literature reviews, regression analyses are conducted on data for the period 2012–2019 on 26 Islamic and 42 conventional banks. For hypothesis testing, the generalised method of moments panel data regression analysis is applied after addressing endogeneity issues.

Results, after controlling for corporate governance, indicate that the performance effects of IC (VAIC and MVAIC) on both bank types largely converge and Islamic banks do not outperform conventional banks in IC use. IC has a stronger effect on accounting performance measures for conventional banks than for Islamic banks, but IC has some effect on market performance measures for Islamic banks alone. Corporate governance variables do not play a significant role in the presence of VAIC and MVAIC although there are differences in corporate governance between the two bank types.

This study bridges the gap in GCC banking sector literature on the association between IC efficiency and performance measures of Islamic and conventional banks, from a comparative perspective. It enhances understanding, about the IC–financial performance nexus, of policymakers, regulators, bank managers and other stakeholders interested in the influence of different business models, financing/investment methods and governance structure on the performance of both bank types.

This study aims to examine the effect of risk disclosure (RD) on commercial banks’ credit rating (CR) in the context of Bangladesh. It also explores the factors influencing RD in both Islamic and conventional banks.

The sample includes 200 bank-year observations consisting of 20 commercial banks (15 conventional and 5 Islamic banks) from 2010 to 2019. The sample is further segregated into Islamic and conventional banks. Ordered logit and random effect ordinary least square models are used to analyze the data. Furthermore, the two-stage least squares approach is used to perform a robustness test.

This study shows that RD significantly positively impacts CR, with a stronger effect in Islamic banks than in conventional banks. This study also finds that banks’ age and leverage negatively influence CRs. Moreover, banks’ size and total capital have a positive and negative influence on CRs, respectively. This study also shows that the age of Islamic and conventional banks positively and negatively influences the RD scores, respectively. In contrast, the RD score of conventional banks is positively impacted by bank size.

By examining which variables substantially impact RD and, hence, CR scores, bank stakeholders may make better financing, investment and other policy decisions. Investors may choose stocks with a high level of RD in the annual reports as the earlier studies imply that higher RD enhances CR.

Only a few studies have examined the relationship between RD and CRs, while, to the best of the authors’ knowledge, this study is the maiden attempt in the Bangladesh context. This study also compares the link between Islamic and conventional banks.

Social media users can now create, exchange, modify and consume socially generated experiences which can enhance social influence toward mobile banking (MB). This study aims to provide understanding of how social actor interactions through social networking platforms (SNPs) can create social influence for MB adoption and present a research framework that can help to understand which social actors have higher social influence toward MB adoption in conventional and Islamic banks.

SNP users have different levels of perceptions and experiences about the usability and credibility of MB. Therefore, their experiences are subjective realties which can generate socially constructed knowledge. To understand these subjective realties, a social constructivist approach is adopted. Data were collected from interviews with 60 individuals from diverse occupational backgrounds.

Identification element of social influence explained that the shared reviews and recommendations of opinion leaders, industry experts, celebrities and friends were highly positive for conventional banks; therefore, there is high word-of-mouth for MB of conventional banks. Internalization of social influence highlighted that people are more likely to accept the wisdom of the crowd and close friends, which can generate their engagement and connection with MB. Finally, the compliance factor of social influence explained that people can only adopt MB when they perceive high usability and credibility.

This study has provided understanding to the marketers of how social actors on SNPs can play a role in the creation, exchange, modification and consumption of socially generated influence that can impact the MB adoption intention for conventional and Islamic banks.

Although many theories and models have been presented about the marketing strategies and antecedents of MB adoption, the extensive use of SNPs has changed marketing strategies. For example, this study has found that social media users are highly influenced by the social reviews and recommendations they receive from their close friends. Therefore, socially generated influence on SNPs can create an adoption intention toward MB.

The aim of this study is to conduct a comparative analysis between Islamic and conventional banks in terms of whether Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. It also examines the role of capital in improving the performance and stability within the two banking systems.

This study uses 82 banks from MENA (Middle East and North Africa) region for periods across 2011–2020, and employs a dynamic panel data approach to examine the resilience within both banking systems during the Covid-19 pandemic.

The results show that the Covid-19 pandemic has a negative impact on conventional banks' stability. However, Islamic banks performed better and were less risky than conventional ones. Banks with high-quality capital are more effective at controlling their risks and improving their performance during the pandemic.

The results offer important financial observations and policy implications to many stakeholders engaging with banks. Actually, the findings of this study facilitate to the stakeholders and bankers to have an alluded picture about determinants of risk and performance. The results can be used by bankers’ policy decision-makers to improve and enhance their consideration for risk management, taking into consideration the type of banking systems.

Compared to the various studies on the stability of Islamic and conventional banks, researchers have not sufficiently addressed the effect of the Covid-19 pandemic on risk and performance. Moreover, none of these studies has examined if Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. This leads the authors to identify the similarities and differences between two types of banks in the MENA region in a pandemic shock context.

This study aims to evaluate the interaction between bank capital and explicit deposit insurance scheme (DIS) on the financial stability of Islamic and conventional banks.

The author's sample covers 52 Islamic and 108 conventional banks operating in 12 countries over the period 2000–2021 using the random-effects generalized least squares (RE-GLS) regression technique.

The author's results reveal that bank capital negatively mediates the relationship between explicit DIS and the financial stability of both Islamic and conventional banks. Additionally, explicit DIS has a positive impact on the financial stability of conventional banks. However, the results are mixed for Islamic banks, as the effect of explicit DIS is positive for the Middle East and North Africa (MENA) region but negative for the South and Southeast Asia (SSA) region. Finally, the interaction between explicit DIS and the COVID-19 pandemic has a negative effect on conventional banks operating in the MENA region, while it has a positive effect on Islamic banks operating in the SSA region.

The findings of this paper have important implications for regulators in evaluating DIS policies and in anticipating any potential adverse consequences that might arise for both Islamic and conventional banks in normal and crisis times. Policymakers should strive to preserve the benefits of DIS while mitigating the destabilizing effects of its interaction with capital ratios.

This study introduces a novel aspect by examining the mediating role of capital in the relationship between explicit DIS and the financial stability of Islamic and conventional banks.

This paper aims to describe a new method for constructing the FintTech Index that measures the development of FinTech in the conventional and Islamic banking sectors in the Middle East and North Africa (MENA). It also tests the effect of this new proxy on the performance of conventional and Islamic banks in MENA countries.

Using data from Islamic and conventional banks in the MENA region between 2010 and 2020, the authors rely on Text Mining Technology with the help of AntConc, principal component and factor analysis. The study also uses the simultaneous equation model to test the interdependent relationship between FinTech and bank performance.

The study argues that the proposed measure effectively represents the FinTech industry in the MENA financial markets. The results provide micro evidence on the application of FinTech innovation in Islamic and conventional banks to improve their performance, profitability, stability and efficiency. Furthermore, the findings can provide insights for practitioners and researchers interested in implementing FinTech collaboration to enhance the performance of Islamic and conventional banks in the MENA region.

Investors can leverage this FinTech Index in portfolio investments, trading strategy and hedging in MENA countries. In addition, policymakers can benefit from the challenges outlined in this work to support the development and incubation of FinTech in conventional and Islamic banks. Thus, they can better recognize the new generation of banking services with which they need to deal and collaborate.

This paper makes a methodological contribution to the literature on FinTech search patterns by combining factor analysis with corpus processing software. This is the most comprehensive global FinTech index. In addition, to the best of the authors’ knowledge, this study is the first to examine the simultaneous relationship between the FinTech index and the performance of Islamic and conventional banks.

This study aims to investigate differences between Islamic and conventional banks in Pakistan with respect to their operational efficiency, liquidity risk and asset quality. Importantly, in addition to full-fledged Islamic and conventional banks, this study also investigates a more recently emerged breed of hybrid banks, i.e. Islamic divisions of conventional banks.

Data for the period 2011–2020 was collected from financial reports of all full-fledged Islamic banks (5), Islamic banking divisions of conventional banks (8) and conventional banks (20) in Pakistan. Logistic regressions were designed to test the proposed hypotheses.

The findings suggest that full-fledged Islamic banks are operationally less efficient and experience higher liquidity risk than conventional banks. However, the asset quality of Islamic banks is better than that of conventional banks. Next, in the robustness analysis, the authors extended the sample size by adding the Islamic divisions (window) of the conventional banks; they found almost the same result except for efficiency which turned out to be non-significantly related to bank type.

The findings are beneficial for investors, depositors, consumers and bank management in understanding the financial features of such as efficiency, liquidity and liquidity risk that separate Islamic banks from conventional banks.

The findings of this study present a clear picture to bankers and practitioners about some financial features of banking systems and depict that Islamic banks are in need to improve their liquidity risk management practices to compete with conventional banks.

This study aims to examine the triple relationship between capital regulation, banking lending and economic growth in a dual markets. Specifically, the author seeks to explore how changes in capital regulation can impact banking lending practices and subsequently influence economic growth, while also investigating the reciprocal effects of banking lending on economic growth.

The author follows several previous studies such as Shrieves and Dahl (1992), Beck and Levine (2002), Altunbas et al. (2007), Saeed et al. (2020) and Stewart et al. (2021) to identify a system of three equations, regarding economic growth, capital and banking financing growth, respectively. The author estimates the parameters of all equations simultaneously using the seemingly unrelated regression method (Zellner, 1962) for a sample of 46 Islamic banks and 113 conventional banks during 2002–2022. These banks operate in 13 Muslim countries from Middle East and North Africa and Southeast Asia.

The author’s findings demonstrate that in the case of Islamic banking, an increase in loan growth stimulates economic growth, while an increasing capital ratio positively influences economic growth but is accompanied by a reduction in loan growth. This result corroborates the findings of Stewart et al. (2021), which indicate that regulatory capital reduces unstable credit while improving gross domestic product growth. However, in the case of conventional banks, the response to an increase in loan growth on Gross Domestic Product Per Capita Growth (GDPCG) is ambiguous, while the capital ratio improves GDPCG and promotes LOANG, which, in turn, increases risk.

The Islamic banks can continue to significantly contribute to economic growth by effectively directing their available capital toward viable investment opportunities and supporting sustainable financial practices, even in the presence of potential constraints on loan growth. As for conventional banks, they are invited to increase their capital levels to ensure a strong and resilient financial system that can support lending and facilitate economic growth.

To the best of the author’s knowledge, this paper is the first to explore the triple relationship between capital requirements, Islamic bank lending and economic growth.

This paper aims to examine the impact of bank’s capital buffer on return on equity (ROE) in the context of Islamic and conventional banks in GCC countries.

The authors collect data from 83 commercial banks comprising of 49 conventional banks and 34 Islamic banks for the period 2010–2019. The final data set comprises of 744 bank-year observations. The authors apply generalized methods of moments estimation technique and panel least square to analyze the data.

The authors document that Tier-1 capital, total regulatory capital (TRC) and equity to asset ratio (EAR) negatively affect banks’ ROE. However, the impact disappears for conventional banks and sustains for Islamic banks if these two clusters of banks are treated separately. Furthermore, the negative impact of equity capital on earning is more pronounced for large and listed commercial banks.

Findings of this research imply that Islamic banks in GCC countries has scope to manage equity capital more efficiently. Hence, they should concentrate on using banks equity wisely to successfully compete with the conventional banks.

Since the global financial crisis of 2009, Islamic banks of GCC countries have been reporting lower ROE compared to their conventional counterparts. On the other hand, Islamic banks maintain higher level of Tier-1 capital, TRC and EAR. This evidence hypothetically suggests that Islamic banks are overly cautious in managing their capital buffer that results in lower ROE. To the best of the author’s/authors’ knowledge, no other study in the literature tests this hypothesis in the GCC context.