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The purpose of this paper is to identify any differences between the Islamic and non‐Islamic banks in the UAE on credit risk management.

The study uses survey based methodology for data collection. The sample for the study consists of six commercial banks from UAE with three non‐Islamic and three Islamic banks and with 148 credit risk managers as respondents for the survey. The study aims to investigate factors which distinguish between Islamic and non‐Islamic banks in UAE. This is achieved by fitting a binary logistic regression model.

The study shows that the managers in Islamic banks now do not rely only on personal experiences and simple credit risk analysis. The Islamic banks appear also to be developing and practising the newer and robust techniques, in addition to traditional methods, to manage their credit risk in UAE compared to non‐Islamic banks, which indicates a possibility of further improvement in their credit risk management.

The paper uses questionnaire‐based methodology, which has not been used previously in the UAE financial sector, as well as in studies of credit risk management. Therefore, this research could become the cornerstone of further academic research in other developing countries using this methodology.

The study aims to assess credit risk management practices within financial institutions in Ghana. Specifically, the study compares credit risk management practices of listed banks in Ghana with Basel II (1999).

The analysis is based on data gathered from varied sources, namely, use of questionnaires, analysis of internal credit policies and procedure manuals and semi-structured interviews and discussions with credit risk managers of the selected banks in May 2007 and October 2014.

Overall, the credit risk management practices within listed banks in Ghana are in line with sound practices. The only dissimilarity, however, is the role of the board of directors in defining acceptable types of loans and maximum maturities for the various types of loans. The listed banks in Ghana are also exposed to credit risks associated with granting both corporate and small business commercial loans and the use of collaterals to mitigate their credit risk exposures.

Banks in Ghana should consider developing the skills of all their personnel and appropriately motivating those involved in the credit risk management processes to ensure that they carry out this process efficiently.

Research into credit risk management in the banking industry from the Ghanaian perspective remains scant. This study is, therefore, timely, and its findings are invaluable for the efficient management of credit risk in the banking industry. This study provides policy recommendations which will enhance shareholder value and, in this way, contribute to greater stability in the banking sector in developing countries, in particular.

Providing loans, particularly to small-scale farmers, is one of the roles of formal financial institutions. Lending to small farmers is risky. An institution's health is closely related to the institution's ability to manage credit and portfolio risk. Expanding smallholder farmers' access to finance while maintaining a sustainable financial system is essential; however, pandemics present additional challenges. Accordingly, as reported in the literature, the pandemic's high loan default rates and decreases in return on assets (ROAs) call for further credit risk management research. There have been limited studies on credit risk management during coronavirus disease 2019 (COVID-19), so this article aims to provide useful information on its influences.

Researchers used data from formal financial institutions in 2018 (before COVID-19) and in 2021 (during COVID-19) to accomplish the study's broad objective. Descriptive and inferential statistics were the main analytical tools. The credit risk management indicators were categorized into collateral management, loan management, loan recovery management, governance and Information and Communication Technology (ICT). Weights were assigned to each category based on the importance to credit risk management. A binary logit model was employed in assessing the factors influencing credit risk management as proxied to loan repayment, while Ordinary Least Square (OLS) was used to examine factors that influence ROAs.

One of the most noteworthy findings is that credit risk management is affected by different factors and magnitudes before and during the COVID-19 era. Loan recovery and ICT management indicators were most influential during the pandemic. In addition, the study noted that low agricultural productivity during the pandemic contributed to an additional challenge in loan default rates because of various COVID-19-containing measures. Additionally, there was a lack of governance and ICT management capacity to drive credit and portfolio risk management during the epidemic.

The paper presents new empirical findings on credit risk management during the COVID-19 era. The study used a methodology which has not been used previously in credit risk management in Nigerian financial institutions. Therefore, this research could become the cornerstone of further academic research in other developing countries using this methodology.

This special “Anbar Abstracts” issue of the Journal of Business & Industrial Marketing is split into seven sections covering abstracts under the following headings: Marketing strategy; Customer service; Promotion; Product management; Marketing research.

External management auditing has links with — but is different from — external financial auditing, internal operational auditing and management consultancy. The reasons for conducting external management audits are considered, particularly in relation to the accountability of corporate management, and the interests of various potential user groups. To obtain empirical evidence, a random sample survey of UK credit managers was carried out; response was almost 50 per cent. Results of the survey are summarised. Essentially, the conclusion was that credit managers strongly favoured external management audit reports.

This special “Anbar Abstracts” issue of Women in Management Review is split into five sections covering abstracts under the following headings: Leadership Styles and Personality; Recruitment and Career Management; Dependant Care and Health/Family Issues; Job Evaluation, Appraisal and Equal Pay; Discrimination and Equal Opportunities.

This study mainly aims to explore the impact of management practices and managerial behavioral attributes on credit rating quality in Tehran Stock Exchange.

In this study, 214 firms were assessed from 2014 to 2020. The credit rating quality was measured through Technique for Order of Preference by Similarity to Ideal Solution and the entropy weighting method. In accordance with the theoretical literature, managerial entrenchment, managerial myopia, managerial overconfidence and managerial narcissism were considered as the managerial attributes. Furthermore, to examine management practices, cash flow management and accrual management were explored.

The results of this study showed that the cash flow from operations management and the accrual management has a significant positive effect on the credit rating quality. The managerial entrenchment, managerial narcissism and managerial myopia have significant negative effects on credit rating quality, while the effect of managerial overconfidence on credit rating quality is not significant.

Understanding the factors that affect the credit rating quality is of a great importance. Considering the significance of cash management in the present era and the impact of managerial psychological and behavioral characteristics in the development of the organization, empirical results of this study can help investors, capital market regulators and other stakeholders to strengthen the firm and better decisions.

The credit crunch of 2008 and recent COVID-19 influences underscored the importance of liquidity and credit risk management in businesses and financial institutions. The purpose of this study is to investigate the impact of liquidity risk and credit risk management on accounting and market performances of banks operating in the Middle East and North Africa (MENA) region.

This study uses a panel data regression analysis on a sample of 51 listed commercial banks operating in 10 MENA countries during the period 2010–2018.

The results show that credit risk management does not affect the accounting performance of banks, while it has a non-linear, convex relationship with market performance. Surprisingly, liquidity risk management is not a significant driver for either performance measure in studied banks. However, when a bank combines credit risk management with liquidity risk management efforts, liquidity risk management actions return significant results on both performances, illustrated by an inverted U-shaped relationship. In addition, this study examines the joint impact of both risks on bank performance. This study reveals that accounting and market performances are differently affected by joint risk management efforts. Their impact depends on the combination of risk management ratios upon which banks choose to focus their efforts.

The findings help bankers and regulators further consider non-linearities and offer them new tools for managing the impact of credit and liquidity risk interactions towards achieving more financial stability.

These results contribute to traditional banking in offering bankers and regulators new tools for managing the impact of credit and liquidity risk interactions on bank performance.

The purpose of this paper is to examine the impact of credit risk components on the performance of credit risk management and the growth in non-performing assets (NPAs) of commercial banks in India.

The data are obtained from primary and secondary sources. The primary data are collected by administering questionnaire among risk managers of Indian banks. The secondary data on NPAs of Indian banks are from annual reports and Prowess database compiled by the Centre for Monitoring Indian Economy. Multiple linear regression is used to estimate the models for the study.

The results suggest that the identification of credit risk significantly affects the credit risk performance. The results are robust as credit risk identification is negatively related to annual growth in NPAs or loans. There is evidence in support of a priori expectation of better credit risk performance of private banks compared to that of government banks.

The study has implications for Indian banks suffering from a high level of losses due to bad loans. In addition, it will have implications for the implementation of new Basel Accord norms (Basel III) by the Reserve Bank of India.

The high and rising level of NPAs will have adverse consequences for credit flow in the economy in the absence of appropriate intervention by government and central bank in the form of changes in institutional and regulatory infrastructure. The problems in banking and financial services sector will lead to lower industrial and aggregate economic growth, and lower (or negative) growth in employment.

There is little evidence on credit risk management practices of Indian banks, and its relationship with credit risk performance and NPA growth. The need for an effective risk management system to manage credit risk assumes importance and urgency in the context of high and rising NPAs of Indian banks, and the consequences for the Indian economy.

Proposes to investigate the current practices of credit risk management by the largest US‐based financial institutions. Owing to the increasing variety in the types of counterparties and the ever‐expanding variety in the forms of obligations, credit risk management has jumped to the forefront of risk management activities carried out by firms in the financial services industry. This study is designed to shed light on the current practices of these firms.

A short questionnaire, containing seven questions, was mailed to each of the top 100 banking firms headquartered in the USA.

It was found that identifying counterparty default risk is the single most‐important purpose served by the credit risk models utilized. Close to half of the responding institutions utilize models that are also capable of dealing with counterparty migration risk. Surprisingly, only a minority of banks currently utilize either a proprietary or a vendor‐marketed model for the management of their credit risk. Interestingly, those that utilize their own in‐house model also utilize a vendor‐marketed model. Not surprisingly, such models are more widely used for the management of non‐traded credit loan portfolios than they are for the management of traded bonds.

The results help one to understand the current practices of these firms. As such, they enable us to make inferences about the perceived importance of the risks. The paper is of particular value to the treasurers intending to better understand the current trends in credit risk management, and to academics intending to carry out research in the field.