Final Project Using Stock Data Collected During the Semester
- Be sure your data is listed so that each column is a different stock and the rows contain the prices for each day of your collection.
Stock 1 | Stock 2 | Stock 3… | Stock 10 | |
1/1/17 | ||||
1/2/17 | ||||
1/32/174 | ||||
HPR1 | HPR2 | HPR3 | HPR1 | |
Volatility1 | Volatility2 | Volatility3 | Volatility10 | |
Investment | $10,000 | $10,000 | $10,000 | $10,000 |
- Compute the holding period return for each. Here is a website that will help: http://financetrain.com/how-to-calculate-the-holding-period-returns/
- Compute the annualized volatility for each of your stocks:
https://www.fool.com/knowledge-center/how-to-calculate-annualized-volatility.aspx
- Compute the return on an equally weighted portfolio of your ten stock.https://www.boundless.com/finance/textbooks/boundless-finance-textbook/introduction-to-risk-and-return-8/implications-across-portfolios-80/calculating-expected-portfolio-returns-349-3894/
- Construct a correlation matrix for the ten stocks in your spreadsheet.
www.ruf.rice.edu/~admn543/Correlation%20matrix%20steps.doc
- Using the correlation matrix, construct 6 portfolios of two stocks each. Find 2 portfolios of positively correlated stocks, 2 portfolios of negatively correlated stocks and 2 portfolios of stocks that have correlations that are as close to zero as you have.
- Compare the portfolio returns you get to the individual returns of the stock that comprise them.
- Lastly, create portfolio of 5 stocks of your own choosing and weight. Compute the daily value of that portfolio, then use this column to determine the holding period return and volatility of your self-constructed portfolio.
Closing Price(USD)(daily) | ||||||||||
1/1/2019 | ||||||||||
1/2/2019 | 18.83 | 7.11 | 46.93 | 29.540001 | 101.120003 | 9.99 | 6.92 | 5.79 | 53.529999 | 16.5 |
1/3/2019 | 17.05 | 7.05 | 46.639999 | 29.58 | 97.400002 | 9.76 | 6.74 | 5.68 | 52.560001 | 15.77 |
1/4/2019 | 19 | 7.6 | 47.57 | 30.34 | 101.93 | 10.52 | 7.04 | 5.95 | 55.130001 | 16.24 |
1/5/2019 | ||||||||||
1/6/2019 | ||||||||||
1/7/2019 | 20.57 | 7.57 | 46.950001 | 30.889999 | 102.059998 | 5.24 | 7.16 | 6.21 | 55.610001 | 16.610001 |
1/8/2019 | 20.75 | 7.7 | 47.48 | 31.280001 | 102.800003 | 5.45 | 7.49 | 6.4 | 55.459999 | 16.690001 |
1/9/2019 | 20.19 | 7.55 | 46.57 | 30.1 | 104.269997 | 6.09 | 7.78 | 6.28 | 56.380001 | 17.09 |
1/10/2019 | 19.74 | 6.36 | 47.07 | 30.4 | 103.599998 | 6.1 | 7.99 | 6.22 | 56.439999 | 17.110001 |
1/11/2019 | 20.27 | 6.34 | 47.34 | 30.870001 | 102.800003 | 6.55 | 8.71 | 6.28 | 56.689999 | 17.33 |
1/12/2019 | ||||||||||
1/13/2019 | ||||||||||
1/14/2019 | 20.23 | 6.4 | 47.150002 | 30.620001 | 102.050003 | 6.26 | 8.75 | 6.31 | 58.93 | 17.040001 |
1/15/2019 | 20.38 | 6.15 | 47.57 | 30.6 | 105.010002 | 6.75 | 8.75 | 6.54 | 61.380001 | 16.84 |
1/16/2019 | 19.73 | 6.1 | 46.919998 | 30.559999 | 105.379997 | 6.56 | 8.73 | 5.64 | 62.189999 | 16.639999 |
1/17/2019 | 20.25 | 6.2 | 47.060001 | 30.639999 | 106.120003 | 6.25 | 8.81 | 5.74 | 62.470001 | 16.52 |
1/18/2019 | 20.77 | 6.36 | 47.610001 | 30.959999 | 107.709999 | 6.3 | 8.95 | 6.18 | 63.119999 | 16.879999 |
1/19/2019 | ||||||||||
1/20/2019 | ||||||||||
1/21/2019 | ||||||||||
1/22/2019 | 19.76 | 6.19 | 47.720001 | 30.58 | 105.68 | 6.04 | 8.66 | 5.93 | 61.849998 | 16.66 |
1/23/2019 | 19.8 | 6.41 | 48.27 | 30.889999 | 106.709999 | 5.99 | 8.66 | 5.99 | 62.130001 | 16.68 |
1/24/2019 | 20.85 | 6.43 | 47.689999 | 30.6 | 106.199997 | 6.09 | 8.65 | 6.17 | 62.709999 | 17.5 |
1/25/2019 | 21.93 | 6.33 | 47.369999 | 30.66 | 107.169998 | 6.14 | 8.87 | 6.4 | 64.019997 | 18.57 |
1/26/2019 | ||||||||||
1/27/2019 | ||||||||||
1/28/2019 | 20.18 | 6.21 | 47.169998 | 30.67 | 105.080002 | 5.73 | 8.75 | 6.34 | 63.849998 | 18.360001 |
1/29/2019 | 19.25 | 5.78 | 47.400002 | 30.700001 | 102.940002 | 5.67 | 8.61 | 6.43 | 63.209999 | 18.129999 |
1/30/2019 | 23.09 | 5.8 | 47.860001 | 29.370001 | 106.379997 | 5.66 | 8.96 | 6.57 | 64.220001 | 18.370001 |
1/31/2019 | 24.41 | 6.03 | 48.130001 | 30.059999 | 104.43 | 6.04 | 9.14 | 6.68 | 64.459999 | 18.530001 |