Analysis of risk and return, portfolio diversification Here you will apply what you have learned about...
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Analysis of risk and return, portfolio diversification Here you will apply what you have learned about portfolio theory. Use the monthly-adjusted closing prices for IBM, MSFT, And the S&P500 during the five-year period from January 2013- December 2017 in the file "Stock Project Stock Prices" posted on Canvas. Calculate returns for each month for each of these three assets (Stock 1; Stock 2; S&P 500). IBM MSFT S&P500 Adj Close Adj Close Adj Close 1498.11 170.65 24.03102 1514.68 1569.19 4/1/2013 170.82 28.84938 1597.57 5/1/2013 171.0975 30.41822 1630.74 6/1/2013 157.9257 30.31555 1606.28 1685.73 1632.97 7/1/2013 161.1733 27.94578 8/1/2013 150.6207 29.31498 9/1/2013 153.7904 29.41548 1681.55 10/1/2013 148.8324 31.29815 1756.54 11/1/2013 149.2227 33.70231 1805.81 12/1/2013 156.6118 33.31668 1/1/2014 147.5192 33.69962 1848.36 1782.59 1859.45 2/1/2014 154.6079 34.11821 3/1/2014 161.6008 36.77871 1872.34 Date 1/1/2013 166.326 23.72848 2/1/2013 3/1/2013 175.4404 24.93597 4/1/2014 164.9422 36.24931 1883.95 1923.57 1960.23 1930.67 5/1/2014 154.7755 36.73384 6/1/2014 153.0674 37.67971 7/1/2014 161.8493 38.99896 8/1/2014 162.3813 41.0501 9/1/2014 161.2436 42.15208 10/1/2014 139.6431 42.68853 2018.05 2003.37 1972.29 2067.56 2058.9 11/1/2014 137.7489 43.47047 12/1/2014 137.2121 42.50029 1/1/2015 131.1144 36.96473 2/1/2015 138.495 40.12136 3/1/2015 138.2263 37.46738 4/1/2015 147.519 44.82079 1994.99 2104.5 2067.89 2085.51 5/1/2015 146.1065 43.18055 2107.39 6/1/2015 142.2341 40.94774 2063.11 7/1/2015 141.6482 43.31279 2103.84 8/1/2015 129.3188 40.36343 1972.18 9/1/2015 127.8178 41.32045 1920.03 10/1/2015 123.5064 49.1439 2079.36 11/1/2015 122.9245 50.74033 2080.41 12/1/2015 122.4756 52.1444 2043.94 1/1/2016 111.0575 51.77785 1940.24 1932.23 2/1/2016 116.6108 47.82096 3/1/2016 120.75 52.28214 2059.74 2065.3 2096.95 2098.86 2173.6 2170.95 2168.27 2126.15 4/1/2016 131.2067 47.20822 5/1/2016 138.2193 50.17115 6/1/2016 139.0961 48.77763 7/1/2016 145.8752 54.03002 8/1/2016 147.7569 54.77355 9/1/2016 149.7552 55.24923 10/1/2016 151.7954 57.47454 11/1/2016 155.8524 57.80066 12/1/2016 154.8244 60.00659 1/1/2017 162.7806 62.43042 2/1/2017 167.7241 61.78342 3/1/2017 163.7104 63.98444 4/1/2017 169.8546 66.5104 5/1/2017 170.8546. 67.8511 6/1/2017 166.8924 67.35087 2198.81 2238.83 2278.87 2363.64 2362.72 2384.2 2411.8 2423.41 2470.3 7/1/2017 169.3258 71.0345 8/1/2017 173.9651 73.05708 2471.65 9/1/2017 180.9534 73.17127 10/1/2017 200.9542 81.70744 2575.26 2519.36 11/1/2017 225.8462 82.67991 2584.84 2004.84 12/1/2017 255.8456 84.44764 2673.61 Analysis of risk and return, portfolio diversification Here you will apply what you have learned about portfolio theory. Use the monthly-adjusted closing prices for IBM, MSFT, And the S&P500 during the five-year period from January 2013- December 2017 in the file "Stock Project Stock Prices" posted on Canvas. Calculate returns for each month for each of these three assets (Stock 1; Stock 2; S&P 500). IBM MSFT S&P500 Adj Close Adj Close Adj Close 1498.11 170.65 24.03102 1514.68 1569.19 4/1/2013 170.82 28.84938 1597.57 5/1/2013 171.0975 30.41822 1630.74 6/1/2013 157.9257 30.31555 1606.28 1685.73 1632.97 7/1/2013 161.1733 27.94578 8/1/2013 150.6207 29.31498 9/1/2013 153.7904 29.41548 1681.55 10/1/2013 148.8324 31.29815 1756.54 11/1/2013 149.2227 33.70231 1805.81 12/1/2013 156.6118 33.31668 1/1/2014 147.5192 33.69962 1848.36 1782.59 1859.45 2/1/2014 154.6079 34.11821 3/1/2014 161.6008 36.77871 1872.34 Date 1/1/2013 166.326 23.72848 2/1/2013 3/1/2013 175.4404 24.93597 4/1/2014 164.9422 36.24931 1883.95 1923.57 1960.23 1930.67 5/1/2014 154.7755 36.73384 6/1/2014 153.0674 37.67971 7/1/2014 161.8493 38.99896 8/1/2014 162.3813 41.0501 9/1/2014 161.2436 42.15208 10/1/2014 139.6431 42.68853 2018.05 2003.37 1972.29 2067.56 2058.9 11/1/2014 137.7489 43.47047 12/1/2014 137.2121 42.50029 1/1/2015 131.1144 36.96473 2/1/2015 138.495 40.12136 3/1/2015 138.2263 37.46738 4/1/2015 147.519 44.82079 1994.99 2104.5 2067.89 2085.51 5/1/2015 146.1065 43.18055 2107.39 6/1/2015 142.2341 40.94774 2063.11 7/1/2015 141.6482 43.31279 2103.84 8/1/2015 129.3188 40.36343 1972.18 9/1/2015 127.8178 41.32045 1920.03 10/1/2015 123.5064 49.1439 2079.36 11/1/2015 122.9245 50.74033 2080.41 12/1/2015 122.4756 52.1444 2043.94 1/1/2016 111.0575 51.77785 1940.24 1932.23 2/1/2016 116.6108 47.82096 3/1/2016 120.75 52.28214 2059.74 2065.3 2096.95 2098.86 2173.6 2170.95 2168.27 2126.15 4/1/2016 131.2067 47.20822 5/1/2016 138.2193 50.17115 6/1/2016 139.0961 48.77763 7/1/2016 145.8752 54.03002 8/1/2016 147.7569 54.77355 9/1/2016 149.7552 55.24923 10/1/2016 151.7954 57.47454 11/1/2016 155.8524 57.80066 12/1/2016 154.8244 60.00659 1/1/2017 162.7806 62.43042 2/1/2017 167.7241 61.78342 3/1/2017 163.7104 63.98444 4/1/2017 169.8546 66.5104 5/1/2017 170.8546. 67.8511 6/1/2017 166.8924 67.35087 2198.81 2238.83 2278.87 2363.64 2362.72 2384.2 2411.8 2423.41 2470.3 7/1/2017 169.3258 71.0345 8/1/2017 173.9651 73.05708 2471.65 9/1/2017 180.9534 73.17127 10/1/2017 200.9542 81.70744 2575.26 2519.36 11/1/2017 225.8462 82.67991 2584.84 2004.84 12/1/2017 255.8456 84.44764 2673.61
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Monthly Returns for IBM MSFT and SP 500 Date IBM MSFT SP 500 12013 264 109 11... View the full answer
Related Book For
Financial Algebra advanced algebra with financial applications
ISBN: 978-0538449670
1st edition
Authors: Robert K. Gerver
Posted Date:
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