This paper investigates the impact of inflation, nominal exchange rate, foreign direct investment, and unexpected event shock on the economic growth of Bangladesh by using the time series data from 1990 through 2020. Augmented Dickey-Fuller and Phillips-Perron Unit Root Test used to identify unit-roots existence and check the stationary of variables. The Ordinary Least Squares method is applied to determine the relationship between the dependent variable and independent variables. The results revealed that the exchange rate and foreign direct investment have significantly affected the country's economic growth. Inflation, FDI, and exchange rate positive impact, whereas unexpected events like Covid-19, natural disasters, etc., negatively affect the economic development of Bangladesh. The study can be helpful for the policy makers to identify, formulate and implement the effect policies for the economic growth of the country.

The study tries to find out the impact of investors demographic variables on the return from the stock market. The data has been collected from the brokerage and Marchant banks for individual investors investments, return and demographic characteristics. The research covers the period from 2009 to 2021 and have a decade long enough to identify the trend. The structural break in the data also been adjusted to avoid any kind of endogeneity. The regression results suggest that demographic variables affect the investment pattern and beta return for the investors. the demographic variables such as education, location and experience have positive links with the beta whereas age and income show negative association. The education, income and experience variables are also found to be significant in the empirical analysis.