This project is designed to familiarize students with the data available to investors on Wall Street and provide an opportunity to get some hands-on experience applying finance theory and models to real firms. First, make sure that you keep everything organized and backed up somewhere.
Each group should pick a publicly traded firm (on a first come, first-served basis, so no two groups have the same firm to analyze) with return data available for the last five years. Pick a company from the S&P 500 Index that meets these requirements. You can sign up here by entering the names of each group member in Columns H and I:
Your group write-ups should be typed, using a font of 12, and should be clear, concise & comprehensive. Please do not include, without proper citations thereto, any sources used to gather the necessary information. Please refrain from citing facts that are available in your sources, rather focus on your analysis. I caution you to focus your project not on a preset number of pages, but rather on its content. Please limit your team’s write-up for each part of the group project to no more than two pages, single-spaced for parts 1, 2, and 4 and no more than three pages for part 3. You are free to include any additional tables, excel charts, or spreadsheets that you deem necessary. Please include a cover page clearly stating all member names, course title, company name and date.
For academic and non-commercial research purposes only! User name: richey
The dependent variable in all regressions is the excess return on your stock. In f (1), you have only one independent variable – the excess return on the market. In f (2), you have three independent variables – excess return on the market, SMB, and HML, i.e., the Fama-French Three-Factor Model. In f (3), you have four independent variables – excess return on the market, SMB, HML and Momentum Factors, i.e., the Four-Factor Fama-French-Carhart Four-Factor Model. Make sure to include the regression results in your write- up as screenshots.
Helpful formulas in Excel that you will need:
Estimating standard deviation:
Estimating arithmetic average:
How to install Excel Analysis ToolPak
To install the Analysis ToolPak please follow the instructions:
The Analysis ToolPak includes the tools described below. To access these tools, click Data Analysis in the Analysis group on the Data tab. If the Data Analysis command is not available, you need to load the Analysis ToolPak add-in program.
Load the Analysis ToolPak
TIP If Analysis ToolPak is not listed in the Add-Ins available box, click Browse to locate it.
If you are prompted that the Analysis ToolPak is not currently installed on your computer, click Yes to install it.
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