Shaikh Masrick Hasan

The study aims to identify the effect of corporate governance factors on financial institution performance in Bangladesh. This study employs annual data for 20 financial institutions, including banks, NBFIs, and insurance companies, data is collected from 2011 to 2022. Here, three corporate governance indicators are utilized – board size, board independence, and director’s ownership. The performance of the financial institutions is measured using return on assets (ROA), return on equity (ROE), and net asset value (NAV). Apart from the corporate governance variables, three company-specific factors, i.e., firm age, financial leverage, and firm size, are used as the control variables. Panel data analysis is conducted through the dynamic Feasible Generalize Least Square (FGLS) method, and the robustness is performed using the random effect model. The results show that corporate governance parameter such as board size has a significant positive influence on financial institution performance in Bangladesh, where board independence and director ownership do not have a significant influence on the performance of financial institutions. Thus, the performance of financial institutions increases when board size increases. This indicates that board members are actively engaged in strategic decision-making and ensure the rights of all stakeholders, which helps improve financial institutions’ overall performance. Therefore, financial institutions may increase their board size to the maximum level to ensure better corporate governance practices in the organizations, which ultimately increases performance.

This study examines the downside risk, measured by semi-standard deviation and lower partial moment, and downside risk-adjusted return, measured by the Sortino ratio and Information ratio of Bangladeshi mutual funds. The study aims to explore the effect of macroeconomic variables such as deposit rate, broad money supply, GDP growth rate, remittance, exports and imports payments on downside risk and risk-adjusted returns. Month-wise downside risk and risk-adjusted return measures of 27 mutual funds are computed using the 12-month rolling window method, covering the period from January 2016 to December 2023. Here, the random effects model is utilized, and the results show that semi-standard deviation has a significant and positive relationship with deposit rate, broad money, and GDP growth rate and a negative relationship with export and remittance. Another downside risk measure, lower partial moment, is significantly and positively related to export and remittance but negatively related to deposit rate, broad money, and GDP growth. On the other hand, the risk-adjusted return Sortino ratio has a significant and positive relationship with the deposit rate, remittance, and GDP growth rate but also has a negative relationship with exports. Furthermore, the information ratio has a significant and positive relation with deposit rate, import and remittance, and a negative relation with GDP growth rate. Overall findings suggest that when broad macroeconomic factors performed well, mutual funds face reduced downside risk and increased risk-adjusted return, and vice versa. Practitioners and institutional investors can use this evidence in their decision-making in an asymmetric market situation.

This study examines the impact of sustainable finance factors on bank performance in Bangladesh. It utilizes annual data from 24 listed commercial banks in Bangladesh from 2016 to 2022. It focuses on three sustainable finance factors: green finance, corporate social responsibility (CSR), and digitalization. These factors ensure sustainable finance practices by prioritizing eco-friendly investments, responsible business operations, operational efficiency, and reduced resource consumption rather than focusing solely on short-term profit maximization. Return on assets (ROA) and return on equity (ROE) are used to measure the performance of commercial banks. This study incorporates default rate and bank size as control variables to consider inherent risk and operational scale, resulting in a more precise evaluation of the impact of digitization, CSR, and green financing on bank performance. Traditional and dynamic panel regression models, including feasible generalized least squares (FGLS) and random effects models, are applied to ensure robust findings. The findings indicate that green finance exhibits an insignificant impact on bank performance. However, corporate social responsibility (CSR) demonstrates a statistically significant positive effect on ROE through positive marketing, enhancing reputation, and building shareholder loyalty towards banks. Conversely, digitalization shows a statistically significant negative effect on performance, implying that initial implementation costs and challenges may outweigh the benefits. In addition, control variables, including default rate and bank size, exhibit a statistically significant negative relationship with performance measures. This suggests that higher default rates indicate increased credit risk and financial losses, while larger bank sizes may lead to inefficiencies due to agency costs and organizational complexities.