Objectives
In an effort to find a solution to the issues mentioned, the following research questions will be addressed in this thesis:
1. Is there a positive linear relationship between systematic risk and the actual rate of return?
2. Are the daily/weekly/monthly returns of stocks with high and low-beta significantly different?
3. Are high beta stocks' returns higher on a daily, weekly, and monthly basis to balance out the increase in the risk?
Summary
With an aim to fulfill the study's goals, daily/weekly/monthly historical data of 25 largest weight stocks listed on Ho Chi Minh Stock Exchange (HOSE) and Helsinki Stock Exchange (HSE) were retrieved to calculate the estimated returns and the beta values, while the market benchmark indexes are VNI30 and OMXH25. According to the calculated beta values, the selected stocks will be separated into two different groups: high and low-beta stocks. These two groups will be used as variables for two-tailed t-tests, then demonstrate the significance of the variance in return between the two stock groups.
Conclusions
The t-test analysis is unable to reject the six null hypotheses because there is not enough evidence to show the significance of the differences between high and low beta values throughout the normal and Covid-19 pandemic periods. About the energy crisis period, even though the t-test shows that there is enough evidence about the significant difference between high and low beta values, its negative t-stat values prevent the validation of CAPM during this period. In general, it can be concluded that CAPM is invalid in the two selected indexes during the Covid-19 pandemic and the energy crisis periods.