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The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

This chapter investigates the presence of a difference in the systemic risk level between Islamic and conventional banks in Bangladesh. The authors compare systemic resilience of three types of banks: fully fledged Islamic banks, purely conventional banks (CB), and CB with Islamic windows. The authors use the market-based systemic risk measures of marginal expected shortfall and systemic risk to identify which type is more vulnerable to a systemic event. The authors also use ΔCoVaR to identify which type contributes more to a systemic event. Using a sample of observations on 27 publicly traded banks operating over the 2005–2014 period, the authors find that CB is the least resilient sector to a systemic event, and is the one that has the highest contribution to systemic risk during crisis times.

Islamic banks, despite being Shariah-compliant, have long been criticized for mimicking conventional banks in terms of their products and processes (Khan, 2010; Kuran, 1996). However, several Islamic banks do engage in philanthropy (zakat and charity) and risk-sharing financing (mudarabah and musharakah) instruments that better meet their raison d'etre, the fulfillment of Maqasid al-Shariah (Jatmiko et al., 2023). These contracts, however, are more susceptible to moral hazard and adverse selection problems than traditional debt-based finance (Azmat et al., 2015) and may impair Islamic bank stability. This paper explores the relationship between social finance and the stability of Islamic banks, and whether institutional quality moderates this relationship.

Using hand-collected annual data on social finance from 12 Islamic banks in four countries: Bangladesh, Bahrain, Indonesia and Malaysia, between 2006 and 2019, the authors employ the feasible generalized least squares and the panel-corrected standard errors methods for the analysis. The Stata version 16 software was used to analyze the data for the study.

The results indicate that mudarabah and musharakah financing raises the stability of Islamic banks. The authors also found that mudarabah and musharakah expose Islamic banks to more risk-taking behavior amidst the conditioning effect of institutional quality. On the other hand, charity induces the stability of Islamic banks, while zakat increases the risk-taking behavior of the banks. Further, when the quality of institutions was used as a moderator, both zakat and charity induced the stability of Islamic banks. The results were robust when liquidity risk was used and partially robust when portfolio risks were employed as measures of stability.

One concern regarding the application of Islamic social finance is that it might be a risky strategy for Islamic banks. In terms of research implications, the available evidence suggests that the use of Islamic social finance instruments is not detrimental to the stability of Islamic banks. Hence, regulators and policymakers should not penalize Islamic banks for using Islamic social finance instruments that help provide financial solutions to the underserved and unserved. In terms of research limitations, the study could not include other relevant Islamic social finance instruments such as waqf and qard al-hassan. Furthermore, data availability restricts the analysis to only 12 Islamic banks in fourcountries. As more Islamic banks in different countries venture into Islamic social finance, and the quantity and quality of information improve, future studies could explore the issue further.

The available evidence suggests that the use of Islamic social finance instruments does not worsen the stability of Islamic banks. Given the dominance of sale- and lease-based contracts in Islamic financing (Aggarwal and Yousef, 2000; Šeho et al., 2020), these findings should encourage other Islamic banks to provide financial solutions using other Shariah-compliant contracts including those based on risk-sharing and philanthropy. This would be a better reflection of the Islamic banks’ value proposition as it helps boost social activities that have a high impact on the activities of small businesses, contributing to the real economy and promoting well-being in society.

Previous studies mainly relied on mudarabah, mushakarah and zakat separately as they relate to the performance of Islamic banks. This study explores the impact of social finance which includes charity and zakat to examine their impact on Islamic banks’ stability. Further, the authors use institutional quality as a moderating variable in the relationship between Islamic social finance instruments and the stability of Islamic banks.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2022-0441

Islamic finance is an alternative approach of financial intermediation based on risk-sharing and asset-backed operations, which evolved substantially in recent years in academic research raising the need for quantitative studies to address the intellectual development and scientific performance of this field. This study aims to provide quantitative statistics and comprehensive review of the key influential and intellectual structure of Islamic finance literature.

The authors apply the trending and cutting-edge quali-quantitative approach of bibliometric citation analysis. This study reviews 1,940 English studies and review papers published in scientific journals indexed by the Scopus database from 1983 to 2019. RStudio, VOSviewer and Excel’s software are used to analyze the collected data and apply the bibliometric tests.

The results identify the leading academic authors, journals, institutions and countries with relation to Islamic finance. The authors also propose six main research themes in this field, which are as follows: Islamic finance – fundamentals, growth and legitimacy; customer’s attitude and perception toward Islamic finance; accounting and social reporting of Islamic finance; performance and risk management of Islamic finance; Islamic financial markets; and efficiency of Islamic financial institutions. Lastly, the authors identify research gaps in the existing Islamic finance literature and present 24 future research directions.

The data in this study is confined only to the Scopus database of English papers and reviews. It also considers papers directly related to the field of Islamic finance.

To the best of the authors’ knowledge, this paper is one of the first to address the literature of Islamic finance from a bibliometric aspect. The results of this study along with future research questions will help researchers and practitioners to further explore and stand on firm quantitative bases regarding the scientific development of Islamic finance.

The purpose of this paper is to determine the impact of loan concentration on the returns of Indonesian banks and examines whether bank ownership types affect the relationship between concentration and returns.

This research uses heuristic measures of concentration: The Hirschman–Herfindahl index and Deviation from Aggregated Averages are applied to Indonesian banks across all sectors. The data covers the pre and post global financial crises periods from 2003-2011 for 109 commercial banks in Indonesia. Panel feasible generalised least squares analysis was applied.

The findings show that loan concentration increases bank returns. The positive effect of concentration on returns tends to be more significant for domestic-owned banks. In addition, the interaction effect shows that the positive effect of concentration on returns is less for foreign-owned banks.

The Indonesian central bank changes to the reporting format of sectoral loan allocation by banks since 2012 in terms of the Indonesian Banking Statistics Details of Enhancement matrix requires separate data analysis for 2012 onwards. The findings of this paper could be enhanced by more detailed data like interest rate expenses and bank level sectoral non-performing loans data.

The findings suggest that a focus strategy provides better returns. Moreover, bank ownership types is an important factor to consider when setting a bank lending policy.

This paper is among the few studies where different measures of loan concentration in combination with measures of return are applied in Indonesia as an emerging Asian country. The research also provides evidence of the impact of concentration on the interest earnings of the loan portfolios of banks in addition to return on assets and return on equity that are generally applied as measures of return in previous research.

The main purpose of this paper is to examine cost efficiencies of the selected Islamic and conventional commercial banks over the period of 2006 to 2009 in Malaysia.

Data envelopment analysis (DEA) was initially used, to investigate the cost efficiency of the Malaysian banking sector and followed by Tobit regression analysis determine factors influencing the efficiency of Islamic and conventional banks in Malaysia.

The DEA results reveal technical efficiency as the main contributor of cost efficiency for conventional commercial banks and allocative efficiency as the main contributor for cost efficiency of Islamic commercial banks. This indicates conventional commercial banks have been efficient in utilizing information technology and electronics. Islamic commercial banks conversely have been efficient in allocating and utilizing their resources. Additionally, scale efficiency is found to be the main source of technical efficiency for both Islamic and conventional commercial banks, denoting that size is important in improving bank efficiency. The results of Tobit regression analysis are twofold. First, it documents capitalization and bank sizes are positively and significantly associated to efficiency. Secondly, loan quality is found to be negatively and significantly associated to efficiency.

This paper contributes to the body of knowledge through its literature discussions on the efficiency of both Islamic and conventional banks and the effect of banks' specific characteristics on their efficiency.

This study develops a multidimensional framework using data envelopment analysis (DEA) as a benchmarking tool to assess the performance of the commercial banks in India. Using the DEA approach, this study compares the relative performance of 35 banks against one another with 8 variables as the benchmark parameters. This study finds that most of the banks are consistently performing well over a period from 2005 to 2009. The study also shows the areas in which inefficient banks are lagging behind and how they can improve their performance to bring them at par with the efficient commercial banks.