This study investigates how non-interest income affects the performance of commercial banks in the ASEAN region. Using data from 36 commercial banks in ASEAN countries from 2008 to 2020 and Bayesian analysis techniques, the results of this study indicate that non-interest income negatively affects commercial banks’ performance in the ASEAN region. In addition, the quantile regression results demonstrated that non-interest income negatively affects commercial banks’ performance in the ASEAN region at all three percentiles (25th, 50th, and 75th). Additionally, we identified a non-interest income threshold of 59.3 percent of total income for commercial banks in the ASEAN region. In light of banking competition and the necessity for commercial banks to diversify their income streams, we offer a variety of policy implications to increase the performance of commercial banks.

Developing banking services based on technology is an inevitable and objective trend in the era of international economic integration. This study aims to determine the factors impacting the adoption and use of online banking services in Vietnam. The proposed research model is based on the adjustment of Unified Theory of Acceptance and Use of Technology (UTAUT2). We employed the structural equation modeling (SEM) and artificial neural network model (ANN) to comprehensively evaluate the linear and non-linear effects of factors on the adoption and use of online banking services in Vietnam. With survey data of 433 customers from three key economic areas in Vietnam, the result shows that the factors of expected efficiency, cost, expected effort, brand image, perceived risk, and social influence impact behavioral intention to use online banking services. At the same time, the behavioral intention to use online banking services also increases the decision to choose online banking services. Based on the results, we propose some implications for Vietnamese commercial banks to increase the acceptance of online banking.

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.

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