This study empirically examines the impact of intellectual capital on bank risk-adjusted returns in Vietnam between 2007 and 2019 using the system generalized method of moments (GMM). The findings show the positive impacts of valueadded intellectual coefficient (VAIC) and its components (human capital efficiency (HCE), capital employed efficiency (CEE), and structural capital efficiency (SCE)) on bank profitability. However, the results show an inverted U-shaped relationship may exist in the case of VAIC, HCE, and CEE. Also, the positive impacts of VAIC and HCE on bank profitability are true to the case of state-owned commercial banks while for foreign-owned banks the positive effect is more with HCE. Therefore, this study provides significant implications for policy-makers, management, and academics.

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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 explains the differences and variances in the efficiency scores of the Vietnamese banking sector retrieved from 27 studies published in refereed academic journals under the framework of meta-regression analysis. These scores are mainly based on frontier efficiency measurements, which essentially are Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) for Vietnamese banks over the period of 2007–2019. The meta-regression is estimated by using truncated regression to obtain bias-corrected scores. Our findings suggest that only the year of publication is positively correlated with efficiency, whilst the opposite is true for the data type, and sample size.

We empirically investigate the impact of capital structure on bank profitability using a quantile regression method in the Vietnamese banking system during 2007–2019. Our results suggest that the nonlinear relationship between capitalization and bank profitability is only significant at the 90th quantile. This is the first study to conclude that the turning point of capital ratio increases throughout the profitability distribution. Our findings thus suggest that a continuous increase in bank capital requirements does not necessarily result in higher bank profitability.

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.

PurposeThe study aims to investigate the relationship between a shift in lending activities toward households, credit information sharing and bank stability.Design/methodology/approachA system generalized method of moments (GMMs) as proposed by Arellano and Bover (1995) is employed to examine the relationship using a sample of 80 countries from 2005 to 2014.FindingsThe findings demonstrate that, in general, a shift in lending strategy toward the household sector may increase bank instability while credit information sharing has a positive impact on bank stability. When credit information sharing is promoted widely, this shift may become beneficial for the banking system. The results are robust when using different measures of credit information sharing, including the depth of index and the coverage of credit information sharing mechanisms.Practical implicationsThe results demonstrate that a shift in lending activities toward households should be considered a key variable in conducting macro-prudential policies. When a shift toward household credit relative to firm credit is evolved, the findings suggest that the authorities around the world should enact laws that magnify the scope and coverage of credit information shared and thus promoting the effectiveness of information sharing.Originality/valueThe current study is the first attempt that examines the impacts of a shift in lending activities toward households and credit information sharing on bank stability.