The moderating effect of bank size on the interest rate – risk-taking relationship: Insights from Vietnam

This paper examines the long-term effect of various regulatory, bank-specific and macroeconomic factors on the determination of liquidity in Indian banks. For this purpose, the study uses a random effect panel data regression model and tests it with data on Indian banks for 21 years, covering the period from 1996 to 2016. The model considers the effect of regulatory factors, cash reserve ratio, and statutory liquidity, and incorporates four different liquidity ratios specific to the Indian banking scenario. The results of the analysis show contrasting relationships between the independent variables and the dependent variables measured by four liquidity ratios.
It is interesting to note that Indian banks rely more on asset-based liquidity and less on liability-based liquidity. More specifically, the most important liquidity ratio of L1 (liquid assets to total assets ratio) showed a significant relationship with macroeconomic variables of discount rates, call rates, foreign exchange reserve, exchange rate with US dollar, consumer price index and gross domestic product. L1 also showed a significant relationship with bank-specific variables of capital to total assets and bank size. However, the regulatory factors of cash reserve ratio and profitability determined by return on equity (ROE) and non-performing assets were not found to have any effect on liquidity of Indian banks.

The government bond (GB) has become the most attractive investment portfolio option, even though many macroeconomic factors affect the bond yield. This paper aims to investigate the determining factor of local currency government bond yield by considering the inflation rate, credit default swap, stock market index, exchange rate, and volatility index. This study used 240 data panel from the Bloomberg stock market in the form of data panel covering Southeast developing countries, namely Indonesia, Thailand, Malaysia, and the Philippines, for five years or sixty months from January 2015 to December 2019. Data analysis used recursive models and multivariate regression techniques using EViews software. The random effect model results revealed that change in the foreign exchange rate and volatility indexes affected, partially and simultaneously, the changes in the stock market index. The result also showed that changes in the stock market index, inflation rate, and credit default swap affected, partially and simultaneously, government bond yield changes. These results suggest that the government bond yield could be managed by controlling volatility index, foreign exchange rate, stock market index, inflation rates, and credit default swaps. This finding could provide an insight into the policymaker and fiscal authority on managing the risk of government bonds under control during high volatility or even making it reasonably lower. This result could contribute to the current research in the field of financial management.

Acknowledgment
It is the author’s pleasure to thank Muhammad Aulia SE MSc CSA® from the Ministry of Finance of Republic Indonesia, for his invaluable contribution to encourage this study and also to share the data required for this paper. He also delivers essential insights into improving the quality of this work. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

The increasing role of digitalization in the banking sector necessitates an in-depth analysis of the impact of information technology (IT) investments on bank profitability. The paper analyzes the influence of IT investments on the profitability of Vietnamese commercial banks. The data were collected from 27 commercial banks in Vietnam between 2010 and 2022. The methodology used in this paper is the Feasible Generalised Least Squares (FGLS) regression. The key results indicate that investment in IT has improved the overall performance of banks, as evidenced by an average increase of 1.8% in Return on Assets (ROA) and 15.3% in Return on Equity (ROE). In addition, the Equity-to-Asset ratio exerts a favorable influence on bank performance, increasing ROA by 15.7% and ROE by 40.9%. Furthermore, bank size also demonstrates a positive correlation with both ROA and ROE, raising it by 0.3% and 2.3%, respectively. Based on these findings, more efficient investment in digital transformation, collaboration with Fintech firms, IT competence enhancement for staff, and communication promotion for Vietnamese commercial banks are recommended. Enabling environments for bank digital transformation should be provided by the Government in building a centralized database and electronic systems, introducing fintech regulations, establishing digital ecosystems, and implementing security solutions.

Acknowlegment
This paper is funded by the National Economics University, Hanoi, Vietnam.
The authors would like to express their gratitude to the comments from chairs, scholars, and audiences at the 19th International Conference on Humanities & Social Sciences 2024 – Applying Humanities & Social Sciences for a sustainable future, Khonkhaen University, Thailand (ICHUSO-011). This paper has been revised significantly after presenting at the IC-HUSO 2024 Conference.