Purpose: This study is the first to investigate whether fintech credit influences bank performance, considering the moderating impact of bank regulations.Design/methodology/approach: This study uses an aggregate dataset of 73 countries from 2013 to 2018 to examine the nexus between fintech credit, bank regulations and bank performance. For robustness tests, the authors introduce different proxies of fintech credit, perform sub-sample analysis and substitute control variables, as well as conduct their empirical strategy to tackle potential endogeneity issue.Findings: The authors document some significant findings. First, the authors’ evidence implies that fintech credit tends to reduce bank profitability, while improving bank risk-related performance. This suggests that as fintech grows, it competes with banks and takes some share of profits, but it also benefits banks in terms of stability. Second, stricter regulations contribute positively to bank stability. Third, the authors argue that the impact of fintech credit on bank performance may depend on the degree of banking regulation, and find that fintech credit would impose a more positive influence on bank stability as more stringent banking regulation is present.Originality/value: This study is the first to investigate whether fintech credit influences bank performance, considering the moderating impact of bank regulations. The findings imply that fintech credit tends to be more beneficial when bank regulations become stricter. Therefore, they bring relevant implications to the regulators, as well as bank and fintech managers with regard to the potential cooperation.

The expansion of fintech credit around the world is challenging the global banking system. This study investigates the interrelationships between the development of fintech credit and the efficiency of banking systems in 80 countries from 2013 to 2017. The findings indicate a two-way relationship between them. More specifically, a negative relationship between bank efficiency and fintech credit implies that fintech credit is more developed in countries with less efficient banking systems. Meanwhile, a positive impact of fintech credit on the efficiency of banking systems suggests that fintech credit may serve as a wake-up call to the banking system. Therefore, fintech credit should be encouraged by the authorities around the world.

This study investigates the relationship between diversification and Islamic banking systems' performance under the impact of the COVID-19 turmoil using a sample of 24 countries from 2013Q4 and 2020Q4. The findings indicate that the performance of Islamic banking systems is positively associated with sectoral diversification of Shari'ah-compliant financing and income diversification. Although this study confirms a negative impact of the COVID-19 shock, income diversification is found to mitigate the adverse effect of this health crisis on the performance of the Islamic banking systems. In which, Sukuk investment is considered an essential channel for pursuing this diversification strategy. Therefore, this research has important implications for policymakers, managers, and academics.

The purpose of this study was to investigate the nexus between trade openness and three aspects of macroeconomic stability, including growth stability, inflation stability, and exchange rate stability, in 20 Asian countries from 2011 to 2019. The empirical analysis was carried out with the help of the autoregressive distributed lag (ADRL) model to examine the impact of trade openness on economic stability. Our results revealed that trade openness was negatively associated with the growth stability of the countries located in the Asian region, while the opposite was true for exchange rate stability in the short run. There was, however, no relation between trade openness and inflation stability, which requires further investigation. In addition to contributing new empirical evidence to academic literature, our study expects to have important implications for policymakers. In particular, Asian countries are recommended to speed up the process of trade liberalisation to accelerate long-run economic growth and exchange rate stability.

This study empirically presents evidence of nonlinearity and heterogeneity relation between intellectual capital and risk-taking for the Vietnamese banking system. We used quantile regression methods on a data set of 30 Vietnamese banks from 2007 to 2019. The results showed that bank insolvency was positively affected by its value-added intellectual coefficient (VAIC) at the upper quantiles (i.e., 80th and 90th), while the opposite was true for credit risk (i.e., 10th and 20th quantiles). When observing the VAIC’s components, risk-taking behaviors were also significantly affected by HCE (Human Capital Efficiency), CEE (Capital Employed Efficiency) and SCE (Structural Capital Efficiency) at the 90th quantile of instability distribution and the 10th quantile of credit risk distribution. Furthermore, the results also emphasized that there was an inverse U-shaped association between intellectual capital and bank risk-taking. Therefore, this study provides important implications for policymakers, regulators, bank managers and academics that encourage increasing investment in knowledge assets to minimize bank risks in the long run.

This data article describes a dataset that consists of key statistics on the activities of 45 Vietnamese banks (e.g., deposits, loans, assets, and labor productivity), operated during the 2002–2021 period, yielding a total of 644 bank-year observations. This is the first systematic compilation of data on the splits of state vs. private ownership, foreign vs. domestic banks, commercial vs. policy banks, and listed vs. nonlisted banks. Consequently, this arrives at a unique set of variables and indicators that allow us to capture the development and performance of the Vietnamese banking sector over time along many different dimensions. This can play an important role for financial analysts, researchers, and educators in banking efficiency and performance, risk and profit/revenue management, machine learning, and other fields.