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calculating stock beta in excel and see the examples to draw the following graphs Calculating Stock Beta in Excel ate Adj Close Adj Close Returns
calculating stock beta in excel and see the examples to draw the following graphs
Calculating Stock Beta in Excel ate Adj Close Adj Close Returns (%) S&P500 (AGSPC) IBM S&P500 (GSPC) 2011/1/3 271.87 2011/1/4 2011/1/5 2011/1/6 2011/1/7 2011/1/10 2011/1/11 2011/1/12 2011/1/13 2011/1/14 2011/1/18 2011/1/19 2011/1/20 2011/1/21 2011/1/24 2011/1/25 2011/1/26 2011/1/27 2011/1/28 2011/1/31 2011/2/1 2011/2/2 2011/2/3 2011/214 2011/27 2011/2/8 2011/2/9 2011/2110 2011/2/11 2011/2/14 2011/2/15 2011/2/16 2011/2/17 2011/2/18 2011/2/22 2011/2/23 2011/2/24 2011/2/25 2011/2/28 2011/3/1 2011/3/2 2011/3/3 2011/34 2011/3/7 2011/3/8 2011/3/9 2011/3/10 2011/3/11 2011/3/14 2011/3/15 2011/3/16 2011/3/17 0 501% 0.184% 0.373% 1276.56 1273.85 -0.398% 109596 -0497% -0.19296 -0.247% 1269.75 0.90196 5.96 1283.76 1293.24 -0.190% 0.796% 0.738% 0.138% 1280.26 1283.35 0.065% 0.584% 1296.63 -0.245%, 0.422% 1.756% 1304.03 1.46 0.288% 1324.57 321.87 130 0.418% -0 279% 0.075% 055196 162.65 -0.343%, -0.382% 1328.01 13404312% 0.362% 2.053% -061196 -0.099% 1 09096 9.36 -0.249% 0.556% 1306.33 1308.44 8.76 2.05 2.0 1.47096 2.207% -2.317% 1321.82 -0.1 3696 1 887% 0.708% 160.6 1295.11 1304.28 3.787% 1273.72 1. 106% 0.431% 1.401)% 355% 0.291% 0.934% 2011/3/18 2011/3/21 2011/3/22 2011/3/23 2011/3/24 2011/3/25 1298.38 0.971% 1310.19-0.498 % 0.931% 0.446%, 2011/3/28 2011/3/29 2011/3/30 2011/3/31 2011/4/1 201114/4 2011/4/5 201114/6 2011/4/7 2011/4/8 2011/4/11 2011/4/12 2011/4/13 2011/4/14 2011/4/15 2011/4/18 2011/4/19 2011/4/20 2011/4/21 2011/4/25 2011/4/26 2011/4/27 2011/4/28 2011/4/29 2011/5/2 2011/5/3 2011/5/4 2011/5/5 2011/5/6 2011/5/ 2011/5/10 2011/5/11 2011/5/12 2011/5/13 2011/5/16 2011/5/17 2011/5/18 2011/5/19 2011/5/20 2011/5/23 2011/5/24 2011/5/25 2011/5/26 2011/5/27 2011/5/31 2011/6/1 2011/6/2 2011/6/3 2011/6/6 2011/6/7 2011/6/8 2011/6/9 2011/6/10 2011/6/13 2011/6/14 2011/6/15 2011/6/16 2011/6/17 2011/6/20 2011/6/21 2011/6/22 2011/6/23 2011/6/24 2011/6/27 59.96 0.706% 0.668% 1328.26 1332.41 1332.87 1332.63 0.496% 0.012% -0.160%, 0.031% 0.209%, 0.218% 1328.17 324.46 -0.425% 0.426% 0.393% 0.573% 0.628%, 0.898% -0.390% 1337.38 1347.24 0.625% 1361.22 0.754% 1342.08 1348.65 0.490% 132947 1328.98 -0.035% 0.088% -0.769% 333.27 1317.37 1320.47 1325.69 0.318% 1314.55 -2278% -0 629% 1270.98 -0 006% 0 585% 1287.87 1265.42 1. 093% 1295.52 0. 267% 1268.45 531751 0135 8 0305403 10110010100000101000200 6359205 2 43575360 8 2 193109 5 -00-01-00000000500000000 1 64 1 2 6 8 3 937865 23333331333333331 3332 12336782151894616 547548 96034655473344 18888 8 1234589 Consider Cisco Systems stock and how it changes with the market portfolio - Figure 12.1 Monthly Returns for Cisco Stock and for the S&P 500, 2000-2012 40% 30% 20% Nov 2002 S&P 500-Cisco R-,-33.5% 10% 0% -10% -20% Oct 2008 -30% Rimg-"-16.8% R,e,--21.2% -40% 2000 200 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Date Figure 12.2 Scatterplot of Monthly Excess Returns for Cisco Versus the S&P 500, 2000-2012 40% Nov 2002 y 1.5968x 0.0022 R 0.43891 30% 20% B Slope of best-fitting line Market risk 10% :*, 10% 20% S&P 500 Excess Return -40% -30% -20% - 30% 40% Oct 2008 | -20% | -30% 40% Deviations from best-fitting line Diversifiable risk Excel Output: Regression Statistics for the SCL of HP Regression Statistics Multiple R R-square Adjusted R-square Standard error Observations 7238 5239 5157 0767 60 ANOVA df MS Regression Residual Total 3752 3752 .0059 58 59 3410 7162 Coefficients Standard Error t-Stat pValue Intercept S&P 500 0.0086 2.0348 0099 2547 0.8719 3868 7.9888Step by Step Solution
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