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The Excel template provided contains monthly returns for three securities over five years. The securities are, Vanguard Total Bond Market Index Fund ETF Shares (BND)tracks
The Excel template provided contains monthly returns for three securities over five years. The securities are,
- Vanguard Total Bond Market Index Fund ETF Shares (BND)tracks a very broad bond index.
- Vanguard Target Retirement 2035 Fund Investor Shares (VTTH) is very diversified and includes U.S. stocks, bonds, and some foreign-traded securities.
- Vanguard Total Stock Market Index Fund ETF Shares (VTI) tracks a very broad U.S. stock index.
***Please, respond to the following questions and provide all your calculation in the same Excel file.***
- For each month, calculate the Holding Period Returns for the three assets (monthly holding period returns). The prices in the files are adjusted because they already include the dividend or income component of the return.
- Over the period under analysis, what is the arithmetic average monthly return for each security?
- Over the period under analysis, what is the geometric average monthly return for each security? Suppose you invested $100 in each of the securities at the beginning of the period. How much money would you have had at the end of the period?
- Over the period under analysis, what is the variance of the monthly returns for each security? What about the standard deviation? Calculate the sample (unbiased) standard deviation.
- Calculate the Sharpe ratio for each of the securities. If you had invested 100 percent of your wealth in one of the three securities, which security offered a better risk/return tradeoff over the period analyzed? Assume that the risk-free monthly rate is 0.1% every month. This is an assumption, given that we do not have the actual monthly values for every month. In the end, you can subtract 0.1% from the average return for each risky security and divide it by its standard deviation. Assuming the returns provided are normally distributed, what is the probability that each of the securities' returns in any month will be negative?
- For each of the securities, calculate the skewness of the monthly returns. Hint: there is an Excel function to get this value. For the security VTI, is the distribution skewed to the left? To the right? Symmetrical?
- For each of the securities, calculate the kurtosis of the monthly returns. Hint: there is an Excel function to get this value. For the security VTI, are we in the presence of fat tails?
- Calculate the Value at Risk (1%, normal) = Mean - 2.33 SD for each security.
Info from Yahoo Finance | |||||||||
Vanguard Total Bond Market Index Fund ETF Shares (BND) | BND 87.14 -0.03 -0.03% : Vanguard Total Bond Market Index Fund ETF Shares - Yahoo Finance | ||||||||
Vanguard Target Retirement 2035 Fund Investor Shares (VTTHX) | VTTHX 26.21 0.01 0.04% : Vanguard Target Retirement 2035 Fund Investor Shares - Yahoo Finance | ||||||||
Vanguard Total Stock Market Index Fund ETF Shares (VTI) | VTI 205.04 -0.89 -0.43% : Vanguard Total Stock Market Index Fund ETF Shares - Yahoo Finance |
Date | VTI Adj Close | VTTHX Adj Close | BND Adj Close |
4/1/16 | 96.48542 | 15.520437 | 72.587387 |
5/1/16 | 98.158867 | 15.610671 | 72.59034 |
6/1/16 | 97.994286 | 15.637741 | 74.05172 |
7/1/16 | 102.340126 | 16.179152 | 74.502419 |
8/1/16 | 102.551399 | 16.242317 | 74.268417 |
9/1/16 | 102.257462 | 16.323528 | 74.351631 |
10/1/16 | 100.503494 | 16.025753 | 73.657364 |
11/1/16 | 105.016869 | 16.188177 | 71.758232 |
12/1/16 | 106.438263 | 16.007706 | 71.810226 |
1/1/17 | 109.090714 | 16.675169 | 72.270241 |
2/1/17 | 113.12149 | 17.070881 | 72.564888 |
3/1/17 | 112.675682 | 17.227325 | 72.545784 |
4/1/17 | 114.387474 | 17.466593 | 73.108459 |
5/1/17 | 115.544319 | 17.733471 | 73.634048 |
6/1/17 | 116.10408 | 17.843903 | 73.669014 |
7/1/17 | 118.831985 | 18.202805 | 73.968277 |
8/1/17 | 119.010071 | 18.285629 | 74.756119 |
9/1/17 | 121.390648 | 18.589315 | 74.559807 |
10/1/17 | 124.55896 | 18.902206 | 74.544159 |
11/1/17 | 128.333511 | 19.215094 | 74.459755 |
12/1/17 | 129.190048 | 19.040245 | 74.672569 |
1/1/18 | 136.61499 | 20.19594 | 74.0924 |
2/1/18 | 131.478836 | 19.492085 | 73.163475 |
3/1/18 | 128.376297 | 19.30439 | 73.674843 |
4/1/18 | 129.477005 | 19.370083 | 73.015175 |
5/1/18 | 133.000519 | 19.520237 | 73.531685 |
6/1/18 | 133.370895 | 19.46393 | 73.493462 |
7/1/18 | 138.380783 | 19.923782 | 73.640755 |
8/1/18 | 143.130524 | 20.120863 | 74.12719 |
9/1/18 | 142.729919 | 20.139629 | 73.722328 |
10/1/18 | 132.783539 | 18.900846 | 73.089943 |
11/1/18 | 135.457214 | 19.18239 | 73.542656 |
12/1/18 | 122.309196 | 17.662062 | 74.73597 |
1/1/19 | 133.534424 | 19.273506 | 75.942749 |
2/1/19 | 138.286667 | 19.687057 | 75.686707 |
3/1/19 | 139.491577 | 19.946732 | 77.167068 |
4/1/19 | 145.750534 | 20.485312 | 77.13575 |
5/1/19 | 136.349777 | 19.610117 | 78.548805 |
6/1/19 | 145.459763 | 20.629576 | 79.533134 |
7/1/19 | 148.062988 | 20.677662 | 79.653015 |
8/1/19 | 144.979324 | 20.475695 | 81.859535 |
9/1/19 | 146.885941 | 20.773836 | 81.40432 |
10/1/19 | 150.666504 | 21.187391 | 81.661865 |
11/1/19 | 156.373444 | 21.620178 | 81.625237 |
12/1/19 | 159.891373 | 21.658649 | 81.386978 |
1/1/20 | 160.66011 | 22.053774 | 83.361366 |
2/1/20 | 147.808868 | 20.872849 | 84.570061 |
3/1/20 | 126.655418 | 18.501158 | 83.374054 |
4/1/20 | 144.001099 | 20.124931 | 85.654854 |
5/1/20 | 151.771866 | 20.922054 | 86.248169 |
6/1/20 | 154.55629 | 21.44363 | 86.832832 |
7/1/20 | 164.17688 | 22.329325 | 88.103081 |
8/1/20 | 175.841446 | 23.283905 | 87.27829 |
9/1/20 | 168.928009 | 22.791853 | 87.196472 |
10/1/20 | 166.314377 | 22.408052 | 86.71389 |
11/1/20 | 185.944611 | 24.514034 | 87.764099 |
12/1/20 | 193.852493 | 24.819107 | 87.61763 |
1/1/21 | 193.990005 | 25.129999 | 87.291 |
2/1/21 | 205.929993 | 26.209999 | 87.021431 |
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