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This study investigates the impact of some variables such as total revenue, total assets, total liabilities, total deposits, total unclassified loans, total classified loans, standard loans, special mention account loans, sub-standard loans, doubtful loans, and bad and loss loans on profit before tax. Unbalanced Panel Data were collected from the website of 45Commercial Bank of Bangladesh from the year 2010 to 2018. Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least square (2SLS), Generalized Methods of Moments (GMM) methods are used in this study. This research found that total revenue had a significant positive relationship with profit before tax in all the models except DK and GMM models. Total unclassified loans had a significant positive relationship and total liabilities had a significant negative relationship with profit before tax in all the models. Special mention account loans had a significant positive relationship with profit before tax in OLS and DK models and total classified loans had a significant positive relationship with profit before tax in GMM model.

As the inclination to FDI shifts from developed to developing economies, investors are flocking to emerging markets, particularly to the Next-11 nations, which render additional growth and investment opportunities. Meanwhile, these countries have become popular FDI destinations; the goal of this study is to look at the major factors that make these countries appealing to FDI destinations. As a result, this research examines the factors that influenced FDI inflows into these nations from 1995 to 2019. Market size, trade openness, natural resource availability, economic stability, and infrastructure facilities are among the potential explanatory factors identified in this research. On the panel data set, which includes data from 11 nations, a fixed-effect model is used. The data show that market size, trade openness, natural resource availability, and economic stability are all possible predictors of FDI inflows to these nations, whereas infrastructure appears to be a minor one.  

This study investigates the impact of a number of educational institutions and students per teacher on the literacy rate. Data of 489 Upazilasrelating to the dependent (literacy rate) and independent variables (no. of educational institutions and students per teacher of different types of primary and equivalent educational institutions) of 8 Divisions were collected from District Statistics 2011 of Bangladesh Bureau of Statistics. The Ordinary Least Square (OLS) method is used in this study. This research found that a number of government primary schools had a significant positive relationship with the literacy rate in Barishal, Chittagong, Khulna, and Mymensingh Divisions.

The Second Language (L2) research has presented vast curiosity to learners and their judgments on L2. The numerous directions of learner-focus study, however, have not been sufficient to emphasize the learning experiences of learners in relation to their social and economic context, particularly in third world countries. This research explores the perspectives and experiences of school learners in second language learning in the peripheries of Bangladesh. In addition, this research demonstrates how socio-economic drawbacks of students’ family affect their English subject scores in secondary school certificate examination. Educational background of parents also contributes to achieve the better scores in L2. A close relationship is found between learners’ family education, parents’ occupation, and family income and their achieved scores in English in board examination.