Search results

Purpose – This research analyses the stability of a number of banks operating in Malaysia by using descriptive statistical analysis based on internal variables. These include the characteristics of the bank, capital adequacy ratio, ratio of profitability, liquidity ratio and the ratio of bank operations.

Methodology/approach – Each bank’s stability is studied using z-score analysis. Data are sourced from the balance sheets and income statements of the banks from 2000 to 2011.

Findings – The results indicate that characteristics of a bank do influence a bank’s performance. There are significant differences in financial ratios between Islamic and conventional banking. Islamic banks provide a lower loan loss of capital to cover impaired loans than conventional banks. This provides high capital based on the mean value obtained. The capital ratio allows both sets of banks to meet the capital adequacy ratio set by the Central Bank of Malaysia. Meanwhile, in profitability ratios, conventional banks have higher returns on higher assets, whereas Islamic Banking has higher returns on higher equity. Only 8 Islamic banks and 11 conventional banks are highly stable banking institutions in Malaysia.

Originality/value – Islamic and conventional banking systems in Malaysia need further improvement to deal with unexpected economics crises and increased competition between the two. Hence, Islamic banking must be refined, especially for improving their stability to attract more investments for further development and performance.

This study aims to examine and compare the credit risk management (CRM) scenario of Islamic banks (IBs) and conventional banks (CBs) in Pakistan, keeping in view the phenomenal growth of Islamic banking and its future implications.

A sample of five CBs and four IBs was chosen out of the whole banking industry for the study. Secondary data obtained from the banks’ annual financial reports for 13 years, starting from 2004 to 2016, were analyzed. Multiple regression, correlation and descriptive analysis were used in the examination of the data.

The results show that loan quality (LQ) has a positive and significant impact on CRM for both IBs and CBs. Asset quality (AQ), on the other hand, has a negative impact on CRM in the case of IBs, but has a significantly positive relation with CRM in the case of CBs. The impact of 16 ratios measuring LQ and AQ have also been individually checked on CRM, by making use of a regression model using a dummy variable of financial crises for robust comparison among CBs and IBs. The model proved significant, and CRM performance of IBs was observed to be better than that of CBs. Moreover, the mean average value of financial ratios used as a measuring tool for these variables shows that the CRM performance of IBs operating in Pakistan was better than that of CBs over the period of the study.

The research findings are expected to facilitate bankers, investors, academics and policy makers to build a better understanding of CRM practices as adopted by CBs and IBs. The findings would be useful in formulating policy measures for the progress of the banking industry in Pakistan.

This research is unique in terms of its approach toward analyzing and comparing CRM performance of CBs and IBs. Such work has not been carried out before in the Pakistani banking industry.

This research aims to analyze and compare the effectiveness of liquidity risk management of Islamic and conventional banking in Egypt to ascertain which of the two banking systems are performing better.

A sample of six conventional banks (CBs) and two Islamic banks (IBs) in Egypt was selected. Using the liquidity ratios, the investigation involves analyzing the financial statements for the period of 2004-2011. The data were obtained from Bank scope database.

The research found that in Egypt, CBs perform better in terms of liquidity risk management than IBs. The liquidity risk management significant differences between IBs and CBs could be attributed more cash availability to CBs than to IBs, in addition, Egyptian Central Bank regulations on capital and liquidity requirements for IBs disconcert IBs’ performance.

This research facilitates the bankers, academician, scholars and bankers to have an alluded picture about Egyptian banking developments in liquidity risk management. The results can be used by bankers’ policy decision-makers to improve and enhance their consideration for liquidity risk management.

This research covers a period and a country that compares CBs’ and IBs’ liquidity risk management. Its value is attributed to the increasing differentiation between CBs and IBs.

The purpose of this paper is to study the determinants of Asian banks’ profitability with particular focus on the role of asset quality. This concern has been particularly important as the Basel III imposed more stringent requirements in banking regulation.

The paper uses fixed effect estimation for the panel data of the sample that consists of 947 banks from 12 Asian economies over the period of 2001-2015.

The authors find that poor asset quality (measured as impaired loans over gross loans) has a significant negative impact on banks’ profitability. Other bank-specific variables – capital adequacy, income diversification and operating inefficiency – are also important determinants. With regard to macroeconomic factors – real gross domestic product growth has most significant influence on the performance of banks.

The authors also find that the banks operating in non-advanced economies enjoy higher profit margin than banks operating in advanced economies.

Although the average asset quality in Asian banks improved over the years, governments could promote more competition, particularly in non-advanced economies. Banks in the region are recommended to diversify their income by avoiding over reliance on interest income.

Although there are prior studies that looked into asset quality, in particular with regard to the European and US experience, to the best of the authors’ knowledge there is no such study that explores cross-country Asian countries. In addition, the other primary determinants of Asian banks’ profitability are investigated. Further, the authors also looked in depth at the performance of the banks in advanced and non-advanced Asian economies.

This paper attempts to analysis the credit risk at the angle of industrial and macroeconomic factor using grey incidence analysis method.

Credit asset quality problem is one of the obstacles limiting the further development of commercial banks; the research on credit risk becomes an important part of the implementation of a commercial bank's risk management. Different industries may have different effects on the credit risk of commercial bank. This paper proposes finding out the different incidences between industries and credit risk, as well as macroeconomics. Incidence identification method is established to investigate whether the industry and macroeconomic factor could affect an impaired loan ratio of a bank using the grey incidence analysis method.

The results indicate that the impaired loan ratio differs with diverse industry's influence and the macroeconomics also affect it. From the angle of the industry, the result can also determine the risk deviation scope in the grey risk control process which offers new content and ideas within the grey risk control.

Under the guidance of the principle of “differential treatment, differential control”, this research will help to strengthen the implementation of differentiated credit policy, focus on guiding and promoting the optimization of credit structure, so as to maintain a reasonable size of credit facilities and build a steady currency credit system.

The paper succeeds in finding the top five influent industries compared with others by using one of the newest developed theories: grey systems theory.

This chapter examines the impact of economic policy uncertainty (EPU) on bank profitability, using a sample of US banks from 2001 to 2016. We find a robust negative relationship between the aggregate level of policy uncertainty and bank profitability. The channel analysis shows that policy uncertainty can significantly reduce loan growth and increase the nonperforming loan ratio. More importantly, we find critical evidence that bank capital can improve the impact of policy uncertainty on the bank's economic performance and operation. Overall, this chapter has an important policy implication: policymakers can reduce the adverse effect of policy uncertainty on the banking industry through measures to stabilize bank capital adequacy.

The study aims to explore macroeconomic and banking industry-specific determinants of non-performing loans (NPLs) for Chinese banks, spanning from 2005 to 2014.

It uses three different models to explore the determinants. The first model has only macroeconomic variables as regressors; the second model has only banking industry-specific variables as independent variables; and the third model has macroeconomic and banking industry-specific variables as explanatory variables. Furthermore, system generalized method of moments estimation technique has been used to measure the coefficients of independent variables.

Gross domestic product (GDP) growth rate, effective interest rate, inflation rate, foreign exchange rate, type of bank, bank risk-taking behavior, ownership concentration, leverage and credit quality are significant determinants of NPLs in Chinese banks. Furthermore, the determinants of NPLs for listed and unlisted banks differ. Determinants of NPLs of listed banks include GDP, bank risk-taking behavior and credit quality. However, variation in NPLs of unlisted banks is explained by GDP, inflation rate, foreign exchange rate, bank risk-taking behavior, leverage and credit quality.

This study also finds that using only macroeconomic or banking industry-specific variables as regressors is not a right approach because it may lead to erroneous conclusions.

This paper aims to study the impact of (regulatory and nonregulatory) liquidity on contingent convertible (CoCo) issuance and the relationship between CoCos and asset quality.

The analysis of this study comprises two stages. In the first stage, the authors used a logit model to test whether banks with riskier assets as well as lower solvency and (regulatory and nonregulatory) liquidity are more likely to issue CoCos. In the second stage, the authors used univariate analysis and fixed effects regression to measure the impact of Additional Tier 1 (AT1) CoCos on the quality of the issuer’s assets.

The study shows that regulatory liquidity ratios are negatively related to CoCo issuance. This study also finds that the likelihood to issue CoCo is higher when banks have lower regulatory capital or are less risky. Asset quality is found to not change significantly after the issuance. All in all, these results suggest that while solvency regulation is primarily regarded as the main motivation for CoCo issuance, liquidity regulation also matters.

Despite the fact that CoCos have been emerging as an alternative way to help banks meet regulatory capital requirements, the paper argues that the relation between liquidity regulation and CoCos should be taken into account.

This study presents an empirical analysis on the CoCos instrument, focusing on the relationship between AT1 CoCos and liquidity regulation. Therefore, it serves to fill a gap in the literature on the underlying forces behind CoCo issuance. Moreover, this study measures the impact of AT1 CoCos issuance on bank risk, particularly on the quality of the issuer’s assets.

The purpose of this paper is to investigate the importance of business lending as a source of bank profits in the UK banking system. The paper also examines whether the profitability of business lending is mostly driven by heterogeneous characteristics of individual banks or whether it is affected by systematic characteristics such as bank size and ownership structure.

The study uses bank level data from BankScope for a total sample of 83 UK banks and building societies. The period under consideration extends from 2005 to 2009. Econometric estimation is by panel fixed effects.

Our empirical results show that business lending is a statistically significant determinant of bank profits. However, this average effect masks important systematic differences among banks. In particular, we find strong size effects: the profitability of business lending is considerable for small banks but negligible for large banks. In contrast, we could not detect any ownership effects for domestic and foreign banks. These findings persist when the occurrence of the financial crisis is accounted for.

Interestingly, our study relates these findings to the process of financialisation. Yet, the extent of the latter and its impact on various groups of banks (i.e. large, small, domestic and foreign banks) have not been examined. Further research in this area would make an important contribution to the literature.

Our findings suggest that business lending is not a driving factor of profitability for large banks. One possible policy implication – which may be of interest especially to regulators and policy makers – is that capital injections into the larger banks per se are unlikely to lead to an expansion of credit to business.

There is very little research in the literature on the questions addressed in this paper, especially for the UK banking system. Moreover, the process of financialisation, which motivates the enquiry of this paper, is a growing area of research. Thus, the contribution of this paper is twofold.

The current paper's goal is to examine the productivity of the closed banking sector evidenced from Ethiopia. In addition, the inclusion of intangibles on productivity was examined in the current paper.

First, the standard Malmquist Productivity Index (MPI) was employed for 13 commercial banks for both stages. Second, by excluding the state-owned commercial bank, the analysis employed a bootstrapped MPI for the robust and comprehensive conclusion. Furthermore, from 2010 to 2019, the fixed effect Ordinary Least Square (OLS) regression with balanced panel data was used.

The standard MPI in both stages shows that the productivity of Ethiopian commercial banks is declining. The technological shock was the main reason for the loss. The catch-up in both stages scored above unity, mainly due to the pure efficiency change. Besides, when combined with tangible resources, the inclusion of resource-based view (RBV) proxy variables reduces technological shock regress and ultimately improves productivity change. The bootstrapped MPI also reveals that technological shock is the primary source of the productivity decline. However, efficiency change also contributes to the productivity decline based on this estimation.

Future research could examine the more extensive productivity analysis by considering the primary sources of data collections for resource-based variables.

According to the study's results, banking regulatory authorities and bank management, including the shareholders, should continue to invest in cutting-edge technology to improve the productivity of the banking sector.

This is the first comprehensive study of productivity for Ethiopian commercial banks based on the standard MPI, bootstrapped MPI, and OLS by incorporating all resources into the analysis.