Today is April 30, 2015, and you have just started your new job with a financial planning firm. In addition to studying for all your license exams, you have been asked to review a portion of a clients stock portfolio to determine the risk/return profiles of 12 stocks in the portfolio. Unfortunately, your small firm cannot afford the expensive databases that would provide all this information with a few simple keystrokes, but thats why they hired you. Specifically, you have been asked to determine the monthly average returns and standard deviations for the 12 stocks for the past five years. In the following chapters, you will be asked to do more extensive analyses on these same stocks.
The stocks (with their symbols in parentheses) are:
Archer Daniels Midland (ADM)
Boeing (BA)
Caterpillar (CAT)
Deere & Co. (DE)
General Mills, Inc. (GIS)
eBay (EBAY)
Hershey (HSY)
International Business Machines Corporation (IBM)
JPMorgan Chase & Co. (??JPM)
Microsoft (MSFT)
Procter and Gamble (PG)
Walmart (WMT)
THIS IS THE SPREADSHEET RESULTS FOR THE STOCKS Date | ADM | BA | CAT | DE | GIS | EBAY | HSY | IBM | JPM | MSFT | PG | WMT | 4/1/2010 | null | null | null | null | null | null | null | null | null | null | null | null | 5/1/2010 | 20.58263 | 51.91504 | 47.78618 | 47.88065 | 27.38756 | 9.010942 | 38.48621 | 98.84789 | 32.34098 | 20.87326 | 47.37018 | 40.93182 | 6/1/2010 | 21.14736 | 51.0529 | 47.24351 | 46.22043 | 27.31451 | 8.253367 | 39.68783 | 97.94269 | 29.91419 | 18.70003 | 46.50947 | 39.14169 | 7/1/2010 | 22.40867 | 55.43816 | 54.85659 | 55.631 | 26.29944 | 8.800505 | 38.91775 | 101.8451 | 32.91295 | 20.97556 | 47.42447 | 41.68219 | 8/1/2010 | 25.23433 | 49.73487 | 51.58796 | 52.78603 | 28.02198 | 9.776936 | 38.4789 | 97.66507 | 29.75054 | 19.07387 | 46.63105 | 40.82722 | 9/1/2010 | 26.27465 | 54.46536 | 62.2919 | 58.21733 | 28.31646 | 10.26936 | 39.67223 | 106.9252 | 31.14151 | 20.00899 | 46.86551 | 43.83334 | 10/1/2010 | 27.42705 | 57.82135 | 62.22856 | 64.34181 | 29.1069 | 12.56734 | 41.25612 | 114.466 | 30.78968 | 21.7901 | 49.67884 | 44.3657 | 11/1/2010 | 23.86285 | 52.19802 | 67.34776 | 62.58245 | 27.5863 | 12.26431 | 39.01365 | 112.7602 | 30.64096 | 20.63809 | 48.09187 | 44.30019 | 12/1/2010 | 24.8837 | 53.74111 | 74.5602 | 69.57794 | 27.78931 | 11.71296 | 39.57766 | 117.5048 | 34.75373 | 22.94332 | 50.65908 | 44.16913 | 1/1/2011 | 27.02628 | 57.21623 | 77.22703 | 76.47496 | 27.15686 | 12.77778 | 39.19154 | 129.7068 | 36.81831 | 22.79536 | 49.7141 | 46.17537 | 2/1/2011 | 30.75719 | 59.29969 | 82.3251 | 75.84396 | 29.22302 | 14.10354 | 43.91736 | 129.6107 | 38.29599 | 21.85001 | 50.01904 | 42.80713 | 3/1/2011 | 29.91992 | 61.23447 | 89.05956 | 81.5144 | 28.75878 | 13.06397 | 45.92949 | 131.0804 | 37.81205 | 20.99513 | 48.86871 | 42.86478 | 4/1/2011 | 30.7591 | 66.0799 | 92.30682 | 82.33646 | 30.35605 | 14.47391 | 48.76894 | 137.1172 | 37.42656 | 21.43339 | 51.48668 | 45.59507 | 5/1/2011 | 26.92876 | 64.63043 | 84.97298 | 72.69255 | 31.53451 | 13.11869 | 47.0957 | 135.7908 | 35.65858 | 20.68091 | 53.59345 | 45.7941 | 6/1/2011 | 25.17682 | 61.55785 | 85.50302 | 69.62711 | 29.51256 | 13.58165 | 48.33925 | 138.5136 | 33.76183 | 21.64047 | 50.84979 | 44.36074 | 7/1/2011 | 25.36889 | 58.6769 | 79.34291 | 66.63848 | 29.61563 | 13.78367 | 47.99062 | 146.83 | 33.35775 | 22.80573 | 49.186 | 44.00178 | 8/1/2011 | 23.78228 | 55.67104 | 73.3951 | 68.59915 | 30.30749 | 12.99242 | 49.86977 | 138.8042 | 31.16477 | 22.13986 | 51.35507 | 44.40248 | 9/1/2011 | 20.83548 | 50.72545 | 59.5549 | 54.80633 | 30.77118 | 12.41162 | 50.6823 | 141.8091 | 24.99156 | 20.84734 | 50.95185 | 43.63902 | 10/1/2011 | 24.30386 | 55.15167 | 76.18573 | 64.80553 | 30.80315 | 13.39646 | 48.96265 | 149.7238 | 28.84152 | 22.30473 | 51.60509 | 47.69183 | 11/1/2011 | 25.29483 | 57.58273 | 79.38111 | 67.66585 | 32.19655 | 12.4537 | 49.34764 | 152.4567 | 25.92304 | 21.42527 | 52.49735 | 49.52483 | 12/1/2011 | 24.1603 | 61.88128 | 73.47699 | 66.04359 | 32.56726 | 12.76515 | 53.18144 | 149.7151 | 27.83147 | 21.90728 | 54.23724 | 50.24794 | 1/1/2012 | 24.18565 | 62.58147 | 88.4968 | 73.94377 | 32.09983 | 13.29966 | 52.57886 | 156.8149 | 31.22148 | 24.91995 | 51.25343 | 51.91565 | 2/1/2012 | 26.3567 | 63.23108 | 93.03883 | 71.17999 | 31.10783 | 15.04209 | 52.25176 | 160.1775 | 33.08176 | 26.78495 | 55.41619 | 49.98658 | 3/1/2012 | 26.89747 | 63.11105 | 86.77432 | 69.43761 | 32.03351 | 15.5303 | 53.12677 | 170.5443 | 38.764 | 27.40299 | 55.08017 | 51.78027 | 4/1/2012 | 26.19233 | 65.17319 | 83.71945 | 71.08759 | 31.57879 | 17.26431 | 58.04704 | 169.2611 | 36.23482 | 27.19912 | 52.15447 | 50.17594 | 5/1/2012 | 27.08438 | 59.07166 | 71.67973 | 63.75962 | 31.32418 | 16.49411 | 57.91709 | 157.6707 | 28.13046 | 24.7952 | 51.47993 | 56.06144 | 6/1/2012 | 25.21289 | 63.42175 | 69.46278 | 69.80153 | 31.53694 | 17.68098 | 62.74672 | 160.531 | 30.31979 | 26.15492 | 50.62042 | 59.7857 | 7/1/2012 | 22.28335 | 63.08887 | 68.89011 | 66.70963 | 31.66787 | 18.64478 | 62.49411 | 160.8593 | 30.54891 | 25.1973 | 53.33947 | 63.82455 | 8/1/2012 | 22.84704 | 60.94632 | 70.25236 | 65.22467 | 32.45775 | 19.97896 | 62.56381 | 159.9318 | 31.77908 | 26.35158 | 56.01125 | 62.25531 | 9/1/2012 | 23.37205 | 59.76615 | 70.8369 | 71.616 | 32.88689 | 20.35774 | 62.07918 | 171.0008 | 34.63697 | 25.61382 | 57.82023 | 63.62615 | 10/1/2012 | 23.07967 | 60.48748 | 69.82423 | 74.61551 | 33.07669 | 20.31145 | 60.29273 | 160.3509 | 35.66376 | 24.5638 | 57.72018 | 64.67796 | 11/1/2012 | 22.95929 | 63.78491 | 70.60204 | 73.4016 | 34.10683 | 22.23064 | 64.16336 | 156.6745 | 35.40997 | 22.91129 | 58.69005 | 62.09153 | 12/1/2012 | 23.71693 | 65.11009 | 74.2216 | 75.47135 | 33.63256 | 21.46465 | 63.61187 | 158.5855 | 37.90107 | 23.17765 | 57.05954 | 58.82401 | 1/1/2013 | 24.70405 | 63.82277 | 81.96326 | 82.58249 | 34.89731 | 23.5564 | 69.9801 | 168.123 | 40.55595 | 23.81979 | 63.16975 | 60.64111 | 2/1/2013 | 27.58749 | 66.44064 | 76.94835 | 77.11268 | 38.79129 | 23.02609 | 73.40644 | 166.2685 | 42.45753 | 24.12351 | 64.54614 | 61.36068 | 3/1/2013 | 29.38453 | 74.64978 | 72.44991 | 75.48841 | 41.3578 | 22.81987 | 77.49961 | 177.3358 | 41.19041 | 25.03193 | 65.29175 | 64.87172 | 4/1/2013 | 29.56747 | 79.48441 | 70.53391 | 78.86629 | 42.28878 | 22.04966 | 78.94282 | 168.39 | 42.53565 | 28.96039 | 65.04603 | 67.8118 | 5/1/2013 | 28.07777 | 86.10157 | 71.9344 | 76.93215 | 39.7566 | 22.76936 | 78.89857 | 172.946 | 47.67476 | 30.53528 | 65.51501 | 65.29896 | 6/1/2013 | 29.7074 | 89.53352 | 69.15932 | 71.75683 | 40.98106 | 21.76768 | 79.42623 | 159.6319 | 46.10277 | 30.43222 | 65.71128 | 65.38341 | 7/1/2013 | 31.95013 | 91.85838 | 69.51143 | 73.8208 | 43.91128 | 21.75505 | 84.39925 | 162.9146 | 48.67033 | 28.05332 | 68.53643 | 68.41164 | 8/1/2013 | 30.84628 | 90.82706 | 69.68361 | 74.32733 | 41.97349 | 21.03956 | 81.80154 | 152.248 | 44.45086 | 29.42779 | 66.97701 | 64.05801 | 9/1/2013 | 32.44278 | 103.1635 | 70.40967 | 72.32787 | 40.78201 | 23.48485 | 82.71201 | 155.4519 | 45.47131 | 29.52869 | 64.99927 | 65.31241 | 10/1/2013 | 36.01819 | 114.5774 | 70.37591 | 73.16865 | 42.90962 | 22.18434 | 88.73879 | 150.4403 | 45.33934 | 31.4186 | 69.4363 | 67.7762 | 11/1/2013 | 35.44576 | 117.8698 | 71.923 | 75.31434 | 43.26069 | 21.26263 | 86.63747 | 150.8348 | 50.70683 | 33.832 | 72.98585 | 71.53812 | 12/1/2013 | 38.39712 | 120.2732 | 77.20243 | 81.65311 | 42.81462 | 23.09344 | 87.38776 | 158.3038 | 51.82341 | 33.44489 | 70.55068 | 69.48938 | 1/1/2014 | 34.92898 | 110.3775 | 79.83792 | 77.28467 | 41.19331 | 22.39057 | 89.3381 | 149.113 | 49.05855 | 33.82931 | 66.39964 | 66.33213 | 2/1/2014 | 35.91987 | 113.6026 | 83.5228 | 77.2577 | 43.24722 | 24.73485 | 95.10824 | 156.2783 | 50.68169 | 34.2495 | 68.68276 | 66.34988 | 3/1/2014 | 38.61553 | 111.2038 | 85.58997 | 81.6362 | 44.79454 | 23.24916 | 94.2564 | 163.3467 | 54.15145 | 36.92024 | 70.37668 | 67.88651 | 4/1/2014 | 38.91811 | 114.332 | 90.78378 | 84.40717 | 45.83185 | 21.81397 | 86.88924 | 166.7242 | 49.93243 | 36.38882 | 72.07934 | 71.25663 | 5/1/2014 | 39.99498 | 119.8527 | 88.57184 | 82.44487 | 47.86137 | 21.35101 | 87.88235 | 156.4477 | 49.87914 | 36.8752 | 71.10584 | 68.62843 | 6/1/2014 | 39.46836 | 113.3784 | 94.15145 | 81.88421 | 45.77893 | 21.06902 | 88.34915 | 154.7211 | 51.7192 | 37.82472 | 69.16955 | 67.52419 | 7/1/2014 | 41.51738 | 107.3633 | 87.28956 | 77.47712 | 43.69648 | 22.23485 | 79.98335 | 163.5979 | 51.76408 | 39.14904 | 68.05178 | 66.18395 | 8/1/2014 | 44.61329 | 112.9952 | 95.09554 | 76.54861 | 46.87056 | 23.35859 | 82.95037 | 164.1356 | 53.73482 | 41.20807 | 73.73171 | 67.91096 | 9/1/2014 | 45.94427 | 114.1995 | 86.34191 | 74.63693 | 44.29787 | 23.83418 | 87.09557 | 162.9856 | 54.44888 | 42.3143 | 74.29064 | 69.23663 | 10/1/2014 | 42.25793 | 111.9851 | 88.41698 | 78.43468 | 45.62372 | 22.09596 | 87.53365 | 141.1517 | 54.6658 | 42.8528 | 77.4223 | 69.05551 | 11/1/2014 | 47.36486 | 120.4573 | 88.37891 | 79.42497 | 46.69895 | 23.09764 | 91.52198 | 139.2371 | 54.74292 | 43.63776 | 80.84065 | 79.2595 | 12/1/2014 | 46.97029 | 117.2104 | 80.41074 | 81.12128 | 47.21242 | 23.61953 | 95.38879 | 138.6946 | 56.94502 | 42.66384 | 81.43067 | 77.75649 | 1/1/2015 | 42.11971 | 131.0885 | 70.25508 | 78.6366 | 46.45992 | 22.3064 | 93.81014 | 132.5309 | 49.48339 | 37.10699 | 75.35175 | 77.37148 | 2/1/2015 | 43.2488 | 136.0301 | 73.42632 | 83.63042 | 47.99006 | 24.3729 | 95.2511 | 139.9913 | 56.12079 | 40.27576 | 76.64359 | 76.41549 | 3/1/2015 | 43.07226 | 136.1728 | 70.88429 | 80.94428 | 50.49707 | 24.27609 | 93.08137 | 139.7197 | 55.47972 | 37.61157 | 73.7716 | 74.8859 | 4/1/2015 | 44.41714 | 130.0573 | 76.95149 | 84.13013 | 49.37292 | 24.5202 | 84.78878 | 149.1127 | 57.93408 | 44.99327 | 71.58384 | 71.48877 | |
2. Convert these prices to monthly returns as the percentage change in the monthly prices. Note that to compute a return for each month, you need a beginning and ending price, so you will not be able to compute the return for the first month. PLEASE DISPLAY IN WORKSHEET IN EXCEL.
3. Compute the mean monthly returns and standard deviations for the monthly returns of each of the stocks. Convert the monthly statistics to annual statistics for easier interpretation (multiply the mean monthly return by 12, and multiply the monthly standard deviation by ?12 ). PLEASE DISPLAY IN WORKSHEET IN EXCEL.
4. Add a column in your Excel worksheet with the average return across stocks for each month. This is the monthly return to an equally weighted portfolio of these 12 stocks. Compute the mean and standard deviation of monthly returns for the equally weighted portfolio. Double check that the average return on this equally weighted portfolio is equal to the average return of all of the individual stocks. Convert these monthly statistics to annual statistics (as described in Step 3) for interpretation. PLEASE DISPLAY IN WORKSHEET IN EXCEL.
5. Using the annual statistics, create an Excel plot with standard deviation (volatility) on the x-axis and average return on the y-axis as follows:
a. Create three columns on your spreadsheet with the statistics you created in Questions 3 and 4 for each of the individual stocks and the equally weighted portfolio. The first column will have the ticker, the second will have annual standard deviation, and the third will have the annual mean return.
b.Highlight the data in the last two columns (standard deviation and mean), choose Insert>Chart>XY Scatter Plot.choose Insert>Chart>XY Scatter Plot. Complete the chart wizard to finish the plot.
6. What do you notice about the average of the volatilities of the individual stocks, compared to the volatility of the equally weighted portfolio?
You will work on items 1-6 and submit is as an excel spreadsheet