- Estimating Beta
- Using Yahoo!Finance:
To access the beta data, type your ticker symbol (for the 10 stocks shown on “Stock Portfolio” attachment), and Beta is shown in firm summary. Bloomberg will automatically default to a 5-year, monthly beta estimate. Then compute the portfolio beta (weighted average of individual 10 stocks’ betas).
- Using Excel Regressions:
Begin by downloading historical prices for S&P 500 (Ticker AGSPC on Yahoo!Finance) into Excel. Make sure that you request the same set of dates for both the index and your securities (09/13/21-10/06/21). Once you download the historical prices into Excel, compute the returns for index also.
- Using Yahoo!Finance:
To calculate beta, you need to to run the following regression model:
𝑅𝑖 = 𝑎 + 𝑏𝑅𝑚 + 𝑒
Where Ri = the daily return on stock i in your portfolio
a = the regression intercept
b = beta
Rm = the daily return on the S&P 500 index
e = the regression error component
This looks complicated, but it is actually a very simple procedure to do in Excel. First, you will need to turn on the regression analysis package in Excel.
- Click on “Tools”, “Add-Ins”.
- When the dialogue box appears, check the two boxes for the add-ins: labeled “Analysis Toolpak” and “Analysis Toolpak-VBA”, then click “OK”.
- Click on “Tools”, “Data Analysis”
- Another dialogue box will appear asking you which data analysis package you want to use. Scroll down and click on “Regression”. Click “OK”.
- You will then need to fill in the regression parameters. Choose X and Y variable data ranges:
- X Variable – cell range for S&P 500 returns
- Y variable – cell range for your stock i’s returns
- After entering the data ranges, click “OK” and your regression results should appear in a separate sheet in your Excel worksheet. Beta will be the numbers labeled the coefficient on the X variable.
- Summarize the beta results of each regression separately.
- Compute the equally weighted beta for your portfolio and conclude the relation between the risk and return for individual stocks and portfolio.


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