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This study tends to investigate how the outbreak of the coronavirus disease 2019 (COVID-19) pandemic has affected banks' contribution to systemic risk. In addition, the authors examine whether the impact of the pandemic may vary across advanced/emerging economies, and with banks with differed characteristics.

The authors construct the bank-specific conditional value at risk (CoVaR) and marginal expected shortfall (MES) to measure their contribution to systemic risk and define the outbreak of the COVID-19 pandemic by the timing when countries report more than 100 confirmed cases. The authors use the approach of difference-in-differences to assess the impact of the COVID-19 pandemic on banks' contribution to systemic risk. This sample comprises monthly panel data of around 900 listed commercial banks in 39 advanced and emerging economies.

The authors find that, firstly, the COVID-19 pandemic increased banks' contribution to systemic risk significantly around the world. Secondly, the impact of the COVID-19 virus was more pronounced in developed countries than in emerging economies. Finally, banks with a larger size and higher loan-to-deposit ratio are more greatly affected by the COVID-19 pandemic, while a higher capitalization for banks is insufficient to shelter them from the adverse impact of such pandemic.

The authors assess the impact of the COVID-19 pandemic on banks' contribution to systemic risk. Using the conditional value at risk (marginal expected shortfall) of banks as the measure, this study’s results suggest that banks' contribution to systemic risk increases by around 25% (48%) amid the COVID-19 pandemic. This study’s findings may shed some light on the potential policies that financial regulators may employ to ameliorate the adverse outcomes of the ongoing pandemic.

This article aims to present a unique dimension to mentor studies in that unlike most research that focuses on the novice-teachers-mentee, this study explores the influence of mentoring on the mentors themselves. Two main questions were examined: “Which components of mentoring influence the mentors' professional development?” and “What is the differential impact of each of these components as they are internalized by the mentors?”

A total of 765 mentors completed a questionnaire composed of 47 multiple-choice questions and an open-ended question describing the contribution of mentoring. The survey thus generated both quantitative and qualitative data.

The results show three main components of mentoring that influence mentors' professional development in the following order: personal–emotional, didactic knowledge and systemic–organizational. The findings also illustrate how the mentors used a comparison process to develop their professional perception: first, by comparing their role as a teacher and their role as a mentor, and second, by comparing their own professional identity as a teacher with that of the novice-teacher.

The implications of the study point to the importance of mentoring for mentors' professional development. Practical implications of this study encourage mentor training courses that combine a body of knowledge of theory and practice, as well as supervision and mentoring for mentors. It may be important for mentors to develop a professional identity as mentors that is distinct from their professional identity as teachers.

The implications of the study point to the importance of mentoring for mentors' professional development. Practical implications of this study encourage mentor training courses that combine a body of knowledge of theory and practice, as well as supervision and mentoring for mentors. It may be important for mentors to develop a professional identity as mentors that is distinct from their professional identity as teachers.

The manuscript attempts to explore the dynamic relationships within the mentoring process by investigating how mentoring impacts the development of mentors. It presents insights into the benefits of mentoring novice-teachers for the mentors themselves via analysis of a large-scale, nationwide study.

This study aims to explore and identify potential challenges and prospects for conducting the professional shariah audit training programme via an e-learning approach during coronavirus disease 2019 (COVID-19).

Questionnaires were administered to 296 participants who were enrolled in the professional shariah audit training programme via e-learning during the COVID-19 pandemic outbreak in 2020. These participants were final-year students from selected Malaysian public universities.

Findings show that several main challenges are faced in adopting an e-learning approach for conducting the professional shariah audit training programme such as the inability to do more hands-on, group and physical activities, different understandings based on academic backgrounds, difficulty in learning practical and technical topics, technical issues and problems during e-learning sessions. These lead to the unsuitability of conducting professional training via the e-learning approach. In terms of prospects of knowledge learnt via the e-learning approach, participants showed that they are able to master all six modules covered in the professional shariah audit training programme via the e-learning approach. These include (1) shariah principles; (2) shariah governance; (3) Islamic financial transactions; (4) shariah risk management; (5) shariah audit planning and programme; and (6) shariah audit fieldwork and communication.

Based on the findings, it is suggested to have more time spent and earlier preparation on the learning contents and sessions, more discussion on actual contents and practical exercises and competency of the trainers in delivering e-learning sessions.

This study is believed to be one among the pioneering studies on the potential challenges and prospects in adopting e-learning for conducting the professional shariah audit training programme due to COVID-19.

Using system theory, this paper aims to interrogate the impact of Boko-Haram on bank administration. The paper explains how death, injury and property destruction caused by terrorism affect banking supervision and structures.

With the aid of a mixed research method, this paper conducted 47 interviews. It extracted secondary data from the Central Bank of Nigeria database, the National Deposit Insurance Corporation publications, Enhancing Financial Innovation and Access Survey, the World Bank database and the Global Terrorism Index. Descriptive, content and regression analysis was used in this research.

With a significant regression model (p-value < 0.05), the analysis shows that terrorism accounts for 84.02% variation in banking administration. The impact of Boko-Haram on banking administration is negatively significant, especially in the areas like on-site supervision of Money Deposit Banks/Micro-finance Institutions and citizens’ accessibility to financial systems.

This paper generates new knowledge in the thematic area, which is still grey. The influence of terrorism on financial institutions as an element of economic governance is less researched. Hence, the strategic linkage of the impact of Boko-Haram on banking administration as a component of financial institutions. Therefore, this paper contributes to the existing body of literature on terrorism and economic governance.

The credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.

Using the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.

The results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.

Credit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

This study aims to analyse the systemic risk emitted by all publicly listed commercial banks in a key emerging economy, India.

The study makes use of the Tobias and Brunnermeier (2016) estimator to quantify the systemic risk (ΔCoVaR) that banks contribute to the system. The methodology addresses a classification problem based on the probability that a particular bank will emit high systemic risk or moderate systemic risk. The study applies machine learning models such as logistic regression, random forest (RF), neural networks and gradient boosting machine (GBM) and addresses the issue of imbalanced data sets to investigate bank’s balance sheet features and bank’s stock features which may potentially determine the factors of systemic risk emission.

The study reports that across various performance matrices, the authors find that two specifications are preferred: RF and GBM. The study identifies lag of the estimator of systemic risk, stock beta, stock volatility and return on equity as important features to explain emission of systemic risk.

The findings will help banks and regulators with the key features that can be used to formulate the policy decisions.

This study contributes to the existing literature by suggesting classification algorithms that can be used to model the probability of systemic risk emission in a classification problem setting. Further, the study identifies the features responsible for the likelihood of systemic risk.

The purpose of this paper is to examine the evolution of interconnectedness of European insurers among themselves, as well as with other non-financial firms, for the period 2000–2021 and to analyze the stock return movements around the costliest catastrophic events (hurricanes) in the past two decades.

This paper follows the “simple” approach of Patro et al.(2013) and examines the daily stock return correlations of the largest 30 insurers and the largest 30 non-financial firms headquartered in Europe. In addition, the study uses event study methodology to examine stock return movements around the costliest hurricanes.

We find that the European insurance sector has become highly interconnected during the past two decades; however, its increasing connectedness with non-financial firms is limited to a few firms. In addition, we find weak evidence of the destabilizing effects of catastrophic events on European insurers and non-financial firms; however, the potential for cat risk contagion effects exists as the insurance industry becomes heavily interconnected.

The extant literature is largely concerned with the contribution of the insurance sector to the systemic risk of the financial sector. We focus on a specific region (Europe) and analyze the evolution of interconnectedness of the largest insurers within the insurance sector as well as with the largest non-financial firms encapsulating important crisis periods. In addition, we relate to the literature that examines the market reactions around catastrophic events to test the relevance of traditional insurance activities in instigating potential contagion shocks.

Viewing the domestic downside risk as a “pushing” factor for outward foreign direct investment (OFDI), this study aims to examine the surge in Chinese cross-border acquisitions (CBAs) between 2008 and 2017, a unique window when private firms in China were allowed to conduct CBAs.

This study examines the effect of down-side risk on cross-border acquisition performance by using the sample of Chinese A-share listed companies from 2008 to 2017. Specifically, this study considers three kinds of systemic risk, systematic risk and idiosyncratic risk, and respectively examines their impact on CBAs activities; this study also investigates their subsequent results after CBAs activities. The contingency effect of state ownership on the above relationship is also discussed.

The findings reveal that pre-CBA systemic risk explains the volume of CBA activities; CBAs are followed by a reduction in systemic risk; the interactions between systemic risk and CBAs decrease with the level of state ownership; and the above results do not hold for traditional risk measures (i.e. systematic risk and idiosyncratic risk).

This study contributes to the literature by revealing the role of systemic risk as a “pushing” factor in the context of OFDI and suggesting an alternative explanation for CBAs from China: Chinese firms (especially private firms) took advantage of the rare opportunity between 2008 and 2017 given by the government to transfer assets overseas through CBA.

This paper aims to examine the influence of risk management (RM) practices on the credit risk of significantly supervised European banks.

To avoid regulatory and reporting discrepancies, this paper samples banks that come under the direct supervision of the European Central Bank. Significantly supervised European Banks are selected for the five years from 2013 to 2017. The RM and governance data is manually drawn (from annual reports, registration documents, governance and RM reports), and financial data sets are also used (from Moody’s BankFocus and ORBIS).

The results indicate that strong risk control and supervision by a powerful chief risk officer (CRO) reduces banks’ credit risk. Banks with sufficiently powerful and independent CROs tend to manage their risks effectively, therefore reporting lower credit risk.

European Union introduced Capital Requirement Directive IV in 2013 and new guidelines on the banks' internal governance in 2017, which were to be implemented in 2018. Thus, this paper limited the sample to five years (from 2013 to 2017) to avoid inconsistencies in the results. Future studies can extend the research and compare banks' credit risk before and after the implementation of regulatory guidelines.

Since the global financial crisis, the regulatory environment has sufficiently changed. Hence, this study reveals that not all RM practices but a few important ones reduce credit risk.

Effective risk control and supervision at the bank level can lower credit risk, ultimately enhancing overall financial stability.

Most existing studies focus on classic governance indicators to analyze banks’ credit risk; however, this paper considers risk governance indicators which include RM practices used by European banks. Moreover, existing studies in this line focus on the crisis period of 2007–2008. This paper considered the postfinancial crisis period, specifically after the implementation of the Capital Requirements Directive IV at the European level.

The dermatology service on the islands of Orkney, with a population of approximately 22,500, was taken over by National Health Service (NHS) Tayside in August 2018. This paper aims to provide an overview of the planning and review of a highly efficient and effective dermatology service for a rural island population.

The service includes visiting dermatology consultants, enhanced electronic referral vetting, skin surgery services, a General Practice (GP) with extended role (GPwER) in dermatology, specialist virtual clinics, urgent advice for inpatients at the local district general hospital and remote systemic therapy monitoring. A new phototherapy service has been set up in an island GP practice.

Local GPs and consultant dermatologists find the enhanced vetting service useable, efficient and educational. Between August 2018 and November 2022, there have been 1,749 referrals. Of these referrals, 60% were seen in clinic or a GPwER surgery, with 40% managed remotely by providing advice back to the referring GP. The number of consultations performed by the GPwER has grown over the past 3 years, and in the last year, it accounted for more than 50% of patient appointments. The waiting time has been significantly reduced using this model.

This remote service uses an integrated approach of teledermatology (TD) whilst offering continual in-person services using local capabilities including a GPwER and island general surgeons. New treatment facilities are provided to the island population. Continual educational feedback to the primary care referrer is provided, and it enhances relationships that greatly aid the high-quality dermatology service provided.