2025/08/28 by Bari, Md. Saiful, Kabir, Humayun
#Closed-end mutual funds #Financial performance #Fundamental factors #Mutual fund performance #Operational performance
paper · doi:10.13135/2704-9906/11583
This research explores the complex area of evaluating closed-end mutual fund performance on Bangladesh's vibrant Dhaka Stock Exchange between 2015 and 2023. It achieves this by navigating the labyrinthine paths of several crucial performance indicators, including the mysterious ROI, the alluring standard deviation, the evasive beta computation, and the complex regression analysis. The robust framework of imbalanced panel data analysis, which deftly negotiates the intricate network of mathematical expressions to unveil the mysterious qualities of return, standard deviation, and beta, reinforces the methodological basis underpinning this intellectual voyage. But in the post-apocalyptic world the pandemic created, these performance metrics saw a seismic upheaval. From the ancient paired two-sample t-tests to the mysterious regression analysis, the statistical toolkit became a beacon of light guiding through the perilous terrain of market volatility. While some mutual funds braved the stormy waves of market volatility, others rose like phoenixes from the ashes, demonstrating a remarkable improvement in post-COVID performance. Thoroughly examining the intricate relationships between beta coefficients and Sharpe ratios, the approach provided a lens through which to view the complex interactions between risk-adjusted returns and market sensitivity.