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The purpose of this paper is to examine the impact of supervision on banking risk to determine whether prudential measures taken especially after financial crises are effective in limiting banking risks.

The empirical study focused on 210 annual reports of almost all Tunisian banks during the 2010–2019 period. Banking supervision effectiveness is measured by enforcement outputs (i.e. on-site audits and sanctions). The generalized least squares method of multivariate analysis was used to analyze this study.

The results show that supervision set up and on-site audits reduce bank risk, while the relationship between sanctions and risk appears to be non-significant. The results still hold after robustness tests by changing the bank's risk-taking indicators.

This study has important implications for managers and investors in the Tunisian context. In particular, the findings provide microevidence for the impact of supervision in Tunisian banks to reduce their risk-taking. The empirical results have important implications for the decision-making of bank managers and regulators in Tunisia as well as for relevant actors in similar emerging economies.

This study extends the previous literature on supervision by examining the relationship between supervision and banking risk in an emerging country, which has been little explored, Tunisia in particular. Furthermore, this study examines whether supervision reduces risk borne by Tunisian banks, and to the best of the researchers' knowledge, it is one of the pioneering studies of supervision in the Tunisian market. This latter market has different economic, political and social attributes compared to developed countries. So, this paper helps to clarify the impact of supervision enforcement and macroprudential policies. In addition, this paper strongly contributes to the various stakeholders “understanding of the importance and implication of supervision practices. However, since banks tend not to reduce their participation in risky activities to seek higher profits, supervisory policymakers and practitioners should also take a closer look at the composition of banks” investment portfolios to reduce moral hazard and regulatory arbitrage behavior. Empirically, the authors measure supervision by on-site audits and sanctions and examine how they affect bank risk level, which was never approached in Tunisia.

This paper aims to investigate the nonlinear effects of bank regulation stringency on bank lending in 23 sub-Saharan African (SSA) countries over the period 1997–2017.

This study employs the dynamic panel threshold regression (PTR) model, which addresses endogeneity and heterogeneity problems within a nonlinear framework. It also uses indices of entry barriers, mixing of banking and commerce restrictions, activity restrictions and capital regulatory requirements from the updated databases of the World Bank's Bank Regulation and Supervision Surveys as measures of bank regulation.

The linearity test results support the existence of nonlinear effects in the relationship between bank lending and entry barriers or capital regulations in the selected SSA economies. The dynamic PTR estimation results reveal that bank lending responds positively when the stringency of entry barriers is below the threshold of 62.8%. However, once the stringency of entry barriers exceeds that threshold level, bank credit reacts negatively and significantly. By contrast, changes in capital regulation stringency do not affect bank lending, either below or above the obtained threshold value of 76.5%.

These results can help policymakers design bank regulatory measures that will promote the resilience and safety of the banking system but at the same time not bring unintended effects to bank lending.

To the best of the authors’ knowledge, this is the first study to examine the nonlinear effects of bank regulatory measures on bank lending using the dynamic PTR model and SSA context.

Keeping in view the robust growth of Islamic banking around the globe, this study aims to comparatively analyze the association between liquidity creation and liquidity risk for Islamic banks (IBANs) and conventional banks (CBANs) in Pakistan and Malaysia over a period of 2004–2021. The moderating role of bank loan concentration on the aforementioned relationship is also studied.

Regression estimation methods such as fixed effect, random effect and generalized least square are deployed for obtaining results. Liquidity creation Burger Bouwman measure (cat fat and noncat fat) and Basel-III liquidity risk measure (liquidity coverage ratio) are also used.

The results give us insight that liquidity creation is positively and significantly related to liquidity risk in both IBANs and CBANs of Pakistan and Malaysia. This relationship has been moderated negatively (reversed) and significantly by credit concentration showing the importance of risk management and loan portfolio concentration.

It is analyzed that during the process of liquidity creation, IBANs in Pakistan faced more liquidity risk for both on and off-balance sheet transactions in the presence of moderation of loan concentration than IBANs in Malaysia necessitating strategic policy-making for important aspects of liquidity risk management and loan concentration while creating liquidity.

Such studies comparing IBANs and CBANs comparison keeping in view liquidity creation, liquidity risk and loan concentration are either limited or nonexistent.

This study empirically demonstrates a contradiction between pillar 3 of Basel norms III and the designation of Systemically Important Banks (SIBs), also known as Too Big to Fail (TBTF). The objective of this study is threefold, which has been approached in a phased manner. The first is to determine the systemic importance of the banks under study; second, to examine if market discipline exists at different levels of systemic importance of banks and lastly, to examine if the strength of market discipline varies at different levels of systemic importance.

This study is based on all the public and private sector banks operating in the Indian banking sector. The Gaussian Mixture Model algorithm has been utilized to classify banks into distinct levels of systemic importance. Thereafter, market discipline has been observed by analyzing depositors' sentiments toward banks' risk (CAMEL indicators). The analysis has been performed by employing the system Generalized Method of Moments (GMM) to estimate models with different dependent variables.

The findings affirm the existence of market discipline across all levels of systemic importance. However, the strength of market discipline varies with the systemic importance of the banks, with weak market discipline being a negative externality of the SIBs designation.

By employing the Gaussian Mixture Model algorithm to develop a framework for categorizing banks on the basis of their systemic importance, this study is the first to go beyond the conventional method as outlined by the Reserve Bank of India (RBI).

This paper aims to examine the impact of the auditor's characteristics on bank's earnings management (EM) through loan loss provisions (LLP) for African banks.

This study is based on 360 bank-year observations from 14 African countries for the period 2011–2016, discretionary LLP is used as proxy for EM. Panel regressions have been conducted.

The authors' findings reveal that auditor's industry specialization and tenure exert a negative and significant influence on the extent of LLP-based EM. The results also show that total fees paid to the banks' auditors are positively related to the extent of EM. In a further analysis, the authors find that industry specialist auditors are more effective in reducing the incoming-increasing. Similarly, the positive relationship previously found between EM and total fees still holds only for income-increasing. Moreover, auditor tenure negatively impacts both income-increasing and income-decreasing EM. As for auditor change, results reveal differential effect on EM.

The current research extends prior literature and provides an understanding of an important external monitoring mechanism, the external audit, within African banks. To the best of the authors' knowledge, there is a paucity of cross-country studies that has addressed the influence of auditors' attributes on banks' EM in Africa.

This paper provides a comprehensive review of the influential and intellectual aspects of the literature on the Gulf Cooperation Council (GCC) region's banking activities.

This study undertakes a bibliometric meta-analysis review of the GCC region banking literature, covering 199 articles published between 2004 and 2022, extracted from the Web of Science (WoS) database, followed by a content analysis of highly cited papers.

This paper identifies the influential aspects of the GCC region banking literature in terms of journals, articles, authors, universities and countries. The paper also identifies and discusses five major research clusters: (1) bank efficiency; (2) corporate governance (CG) and disclosure; (3) performance and risk-taking; (4) systemic risk, bank stability and risk spillovers and (5) intellectual capital (IC). Finally, it identifies gaps in the literature and highlights some important research issues that provide directions for future research.

This paper is limited to the articles indexed in the WoS database and written in English. Though the WoS database encompasses a wide range of multidisciplinary journals, there is a chance that some relevant articles are not included in the WoS database or written in another language.

This study provides regulators, practitioners and academics with valuable insight and an in-depth understanding of the banking system of the GCC region.

To the best of the authors' knowledge, this is the first review paper on GCC region banking literature. This study provides regulators, practitioners and academics with valuable insight and an in-depth understanding of the banking system of the GCC region.

This study investigates the relationship between corporate social responsibility (CSR) and financial performance of the banking sector from the prospective of emerging countries.

This study obtained balance sheet and income statement data for 173 banks in 20 emerging countries from the Bankscope database from 2005–2018. The CSR-related data were taken from the Thomson Reuters ASSET4 database. Moreover, macroeconomic controls such as GDP per capita, inflation, and financial development are attained from the GFDD. The series of institutional quality indices (Political Stability, Rule of Law, Control of Corruption, Government Effectiveness, and Regulatory Quality) is obtained from the WGI. At the same time, national culture and bank regulation are attained from Hofstede Insights and Barth et al. (2013). We used the panel fixed-effects model in our baseline estimations, while 2SLS and GMM were applied to control for endogeneity.

The finding shows that CSR activities significantly improve bank performance, but the effect varies across the bank. Only environmentally friendly activities have shown a significant positive relationship with banking performance for CSR dimensions. However, the social and government dimensions did not significantly affect bank performance. Moreover, a sound institutional and regulatory environment and national norms play an important role in the nexus of CSR activities and bank performance.

This study provides empirical evidence that sheds light on CSR and bank performance in an emerging market context.

This study aims to investigate the effect of the diversity of the board of directors (BOD) and the shariah supervisory board (SSB) on credit risk, insolvency, operations, reputation, rate of deposit return risk (RDRR) and equity-based financing risk (EBFR) of Islamic banks (IB).

The study uses 68 IBs from 19 countries covering 2009 to 2019. BOD and SSB diversity attributes data were hand-collected from the annual reports. Financial data were collected from the bankscope database. The robustness test and two-step system generalized method of moment estimation technique were used to address potential endogeneity issues.

This study provides evidence that diversity in the experience and cross-membership of board members decreases the risk. Gender diversity increases the risk, but the BOD’s education level diversity has no relationship with risk. More interestingly, influences in the experience and cross-membership of the SSB’s members positively influence risk. However, members’ education levels and gender diversity have not been proven to affect risk.

The paper recommends that Islamic banking authorities play a stronger role and make a greater effort in driving corporate governance reform. Also, determining individual characteristics of the board is a requirement to become a member of a BOD or an SSB.

This paper expands the commitment literature through the diversity of the BOD’s and the SSB’s members in terms of their education levels, experience, cross-membership and gender. This study expands the list of potential risks for IBs, by including the RDRR and EBFR.

This study aims to develop a novel approach for predicting default risk in bancassurance, which plays a crucial role in the relationship between interest rates in banks and premium rates in insurance companies. The proposed method aims to improve default risk predictions and assist with client segmentation in the banking system.

This research introduces the group method of data handling (GMDH) technique and a diversified classifier ensemble based on GMDH (dce-GMDH) for predicting default risk. The data set comprises information from 30,000 credit card clients of a large bank in Taiwan, with the output variable being a dummy variable distinguishing between default risk (0) and non-default risk (1), whereas the input variables comprise 23 distinct features characterizing each customer.

The results of this study show promising outcomes, highlighting the usefulness of the proposed technique for bancassurance and client segmentation. Remarkably, the dce-GMDH model consistently outperforms the conventional GMDH model, demonstrating its superiority in predicting default risk based on various error criteria.

This study presents a unique approach to predicting default risk in bancassurance by using the GMDH and dce-GMDH neural network models. The proposed method offers a valuable contribution to the field by showcasing improved accuracy and enhanced applicability within the banking sector, offering valuable insights and potential avenues for further exploration.

The study aims to investigate the Shari’ah governance quality effectiveness, at the bank and national levels, on the value relevance of Islamic banks’ (IBs’) earning per share and book value per share.

Quantitative analyses are conducted using a panel of 40 listed IBs from 12 countries during 2012–2019. Data were retrieved from the Refinitiv Eikon database and banks’ annual reports.

The findings suggest that Shari’ah supervisory boards’ attributes negatively influence the value relevance of accounting information while the internal procedures positively impact it. The results also provide evidence of a complementary effect between Shari’ah governance mechanisms at the bank and national levels on the value relevance of accounting information.

IBs’ boards and managers need to be more aware of the role of Shari’ah governance and its impact on value relevance. The observed complementarity between Shari’ah governance systems at the bank and national levels may incite regulators to include comprehensive Shari’ah governance regulations in their best practices. Strengthening collaboration between regulators and the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) is also required to create an enabling environment for investors to rely on the AAOIFI accounting standards in their investment decision-making process.

Existing studies tend to ignore the effectiveness of Shari’ah governance quality at the bank level on value relevance. There is a similar lack of empirical research on the effectiveness of the centralized Shari’ah governance scheme on accounting issues.