Using accounting ratios to distinguish between Islamic and conventional banks in the GCC region

This study determines whether it is possible to distinguish between conventional and Islamic banks in the Gulf Cooperation Council (GCC) region on the basis of financial characteristics alone. Islamic banks operate under different principles, such as risk sharing and the prohibition of interest, yet both types of banks face similar competitive conditions. The combination of effects makes it unclear whether financial ratios will differ significantly between the two categories of banks. We input 26 financial ratios into logit, neural network, and k-means nearest neighbor classification models to determine whether researchers or regulators could use these ratios to distinguish between the two types of banks. Although the means of several ratios are similar between the two categories of banks, non-linear classification techniques (k-means nearest neighbors and neural networks) are able to correctly distinguish Islamic from conventional banks in out-of-sample tests at about a 92% success rate.     

Differences and similaritites between corporate governance principles in Islamic banks and Conventional banks

The purpose of this paper is to present the some differences and similarities between corporate governance principles in Islamic banks and conventional banks by paradigmatic diversification. Since Corporate governance in Islamic banks is a social phenomenon in Islamic societies, the paper uses social theory paradigms (functionalist, interpretive, radical humanist and radical structuralist) to compare between corporate governance in Islamic banks and conventional banks. This paper demonstrates that mainstream corporate corporate governance theories are not a law of nature but a social construct.     

Hyperbolic distance function,technical efficiency and stability to shocks: A comparison between Islamic banks and conventional banks in MENA region

In this paper, we compare banking performance and resiliency between Islamic banks and conventional banks in MENA region over the period 2002–2014. Stochastic hyperbolic and radial output distance functions are employed to evaluate banking performances. Furthermore, hyperbolic distance function methodology is extended to evaluate bank's business risk through simulations. Historical extreme observed situations in terms of profit loss from the industry are used in order to simulate their impact on the overall profit distribution within the industry. More precisely, we compare the observed profit and the simulated one followed by an abrupt fall in bank lending and non-lending activities. Results find evidence of technical efficiency differences with bank type, some evidence with bank size. It is found that conventional banks are much more vulnerable to an important drop on their lending activities than non-lending activities, while Islamic banks are equally vulnerable to any drop of the activity. Furthermore, Islamic banks are found to be less vulnerable than their counterparts when they are exposed to shocks on their lending activities. Very large banks are much more resilient than small banks whatever is the bank stream. It is also found that bank vulnerability is more important when the banks are not able to adjust their costs in the short run, and increases with the exposure to higher shocks in magnitude.     

Measurement of risk perceptions in social research: a comparative analysis of ordinary least squares,ordinal and multinomial logistic regression models

Drawing on data gathered in the 2006 Monitoring the Future study of American youth (n = 2489), this investigation offers a comparative analysis of ordinary least squares (OLS), ordinal and multinomial logistic regression models in examining the effects of multiple factors on perceptions of alcohol risk. The article addresses limitations of OLS models in risk analyses and demonstrates how scholars can avoid making statistical errors when positioning vague quantifiers as ordinal dependent measures. Substantively, the article finds differential effects for (1) sex, (2) perceived attitudes of peers toward alcohol consumption, (3) frequency of intoxication, (4) teacher efforts toward alcohol education, (5) frequency of communicating with friends, and (6) newspaper exposure, as determinants of alcohol risk perceptions. Through statistical results and visual displays, the article reveals how inferences made about these effects stand to vary depending on the regression method chosen.     

Bibliometric and Scientometric analysis on CSR practices in the banking sector

This paper provides a bibliometric and Scientometric analysis of the corporate social responsibility (CSR) in banking sector. Our study analyzes 551 articles from the Scopus database to find out the relationship between CSR and banking. A bibliometric method was used to visualize the results using R-studio and VOS viewer software. The Scientometric analysis was conducted to determine the findings and mappings of the research themes, directions of current and future research, impact, co-occurrence, co-citations and impact and collaboration trends. We explore how CSR literature has evolved over the years in the banking sector between 1993 and 2021. We find that publication in the CSR and banking domain has increased significantly during 2017 and 2021. Social aspects, board of directors, CSR, environment, competitions, Islamic banking, sustainability, disclosure, ethics, legitimacy theory, sustainable banking, loyalty, and brand equity are the popular research trends and collaboration trends identified. We also provide further scope of the study based on the extensive review of the past literature. Our findings may provide help to future researchers, bankers, and regulators in understanding the current trends and future research progression in the CSR and banking sector.     

On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis

This paper aims at analyzing the degree and structure of interdependencies in terms of volatility (transmission, contagion) between Islamic and conventional stock markets on calm periods and at times of financial fragility and crisis. We focused on the recent financial instability periods and used the Quantile Regression-based GARCH model. Main results lead to very interesting conclusions. First, it has been found that Islamic stock markets are not totally immune to the global financial crisis. Second, a very strong interdependence is sensed from the conventional to the Islamic stock markets, especially, from the conventional developed markets to the Islamic Emerging and Arab markets and to the Islamic developed markets. Finally, it has been proved that the interdependencies from conventional to Islamic markets are propagated between Islamic markets. Our findings suggest that the Islamic finance industry does not seem able to provide cushion against economic and financial shocks that affect conventional markets.     

On the nonlinear relationship between energy use and CO2 emissions within an EKC framework: Evidence from panel smooth transition regression in the MENA region

This paper proposes a new approach for analyzing the dynamic relationships between carbon dioxide (CO₂) emissions, energy use, and income for the Middle East and North African (MENA) region. Our study implements a class of regime-switching models, namely a nonlinear panel smooth transition regression (PSTR) framework. Two kinds of estimates for carbon emissions are provided. On the one hand, we measure the impact of energy consumption on CO₂ concerning the level of income per capita, as countries with a similar energy usage level would have different levels of energy intensity. On the other hand, we estimate the impact of output growth on emissions concerning energy usage variation, as a higher economic growth does not necessarily mean energy-intensive activities. Our empirical findings support these intuitions as they indicate that pollutant emissions respond nonlinearly to energy consumption and GDP growth. We find an inverted U-shaped pattern for the impact of energy on CO₂, in the sense that environmental degradation is declining beyond a given income threshold, which is estimated endogenously within the PSTR model. Also, our results underscore that GDP growth significantly impacts carbon emissions only for higher energy consumption growth.