Question
1) Produce full risk-returns analysis for the 5 year period for Market 1, Market 2 and the Company (excluding CAPM analysis). Visualize your analysis in
1) Produce full risk-returns analysis for the 5 year period for Market 1, Market 2 and the Company (excluding CAPM analysis). Visualize your analysis in (1) and discuss the results.
2) Based on correlations matrix, which benchmark for the Market is better suited for application to this Company? Justify your answer
3) Using two methods (direct slope function and beta definition formula) calculate betas for the Company based on market 1 and market 2 benchmarks. Assume: risk-free rate is 2%. What is the Capital Market Line equation for the Company based on Market 1 and on Market 2?
4) Briefly, explain why the choice of a benchmark matters to our risk-return analysis?
Market 1 | Market 2 | Company | |
1-Jan-16 | 1,940.24 | 1035.38001 | 89.129997 |
1-Feb-16 | 1,932.23 | 1033.90002 | 85.150002 |
1-Mar-16 | 2,059.74 | 1114.03003 | 93.800003 |
1-Apr-16 | 2,065.30 | 1130.84998 | 94.220001 |
1-May-16 | 2,096.95 | 1154.79004 | 99.470001 |
1-Jun-16 | 2,098.86 | 1151.92004 | 95.790001 |
1-Jul-16 | 2,173.60 | 1219.93994 | 97.860001 |
1-Aug-16 | 2,170.95 | 1239.91003 | 102.309998 |
1-Sep-16 | 2,168.27 | 1251.65002 | 108.540001 |
1-Oct-16 | 2,126.15 | 1191.39002 | 107.510002 |
1-Nov-16 | 2,198.81 | 1322.33997 | 102.809998 |
1-Dec-16 | 2,238.83 | 1357.13001 | 102.949997 |
1-Jan-17 | 2,278.87 | 1361.81995 | 113.379997 |
1-Feb-17 | 2,363.64 | 1386.68005 | 118.339996 |
1-Mar-17 | 2,362.72 | 1385.92004 | 130.130005 |
1-Apr-17 | 2,384.20 | 1400.43005 | 133.740005 |
1-May-17 | 2,411.80 | 1370.20996 | 141.860001 |
1-Jun-17 | 2,423.41 | 1415.35999 | 141.440002 |
1-Jul-17 | 2,470.30 | 1425.14002 | 146.490005 |
1-Aug-17 | 2,471.65 | 1405.28003 | 155.160004 |
1-Sep-17 | 2,519.36 | 1490.85999 | 149.179993 |
1-Oct-17 | 2,575.26 | 1502.53003 | 175.160004 |
1-Nov-17 | 2,647.58 | 1544.14002 | 181.470001 |
1-Dec-17 | 2,673.61 | 1535.51001 | 175.240005 |
1-Jan-18 | 2,823.81 | 1574.97998 | 199.759995 |
1-Feb-18 | 2,713.83 | 1512.44995 | 209.130005 |
1-Mar-18 | 2,640.87 | 1529.43005 | 216.080002 |
1-Apr-18 | 2,648.05 | 1541.88001 | 221.600006 |
1-May-18 | 2,705.27 | 1633.60999 | 249.279999 |
1-Jun-18 | 2,718.37 | 1643.06995 | 243.809998 |
1-Jul-18 | 2,816.29 | 1670.80005 | 244.679993 |
1-Aug-18 | 2,901.52 | 1740.75 | 263.51001 |
1-Sep-18 | 2,913.98 | 1696.56995 | 269.950012 |
1-Oct-18 | 2,711.74 | 1511.41003 | 245.759995 |
1-Nov-18 | 2,760.17 | 1533.27002 | 250.889999 |
1-Dec-18 | 2,506.85 | 1348.56006 | 226.240005 |
1-Jan-19 | 2,704.10 | 1499.42004 | 247.820007 |
1-Feb-19 | 2,784.49 | 1575.55005 | 262.5 |
1-Mar-19 | 2,834.40 | 1539.73999 | 266.48999 |
1-Apr-19 | 2,945.83 | 1591.20996 | 289.25 |
1-May-19 | 2,752.06 | 1465.48999 | 270.899994 |
1-Jun-19 | 2,941.76 | 1566.56995 | 294.649994 |
1-Jul-19 | 2,980.38 | 1574.60999 | 298.859985 |
1-Aug-19 | 2,926.46 | 1494.83997 | 284.51001 |
1-Sep-19 | 2,976.74 | 1523.37 | 276.25 |
1-Oct-19 | 3,037.56 | 1562.44995 | 277.929993 |
1-Nov-19 | 3,140.98 | 1624.5 | 309.529999 |
1-Dec-19 | 3,230.78 | 1668.46997 | 329.809998 |
1-Jan-20 | 3,225.52 | 1614.06006 | 351.140015 |
1-Feb-20 | 2,954.22 | 1476.43005 | 345.119995 |
1-Mar-20 | 2,584.59 | 1153.09998 | 318.23999 |
1-Apr-20 | 2,912.43 | 1310.66003 | 353.640015 |
1-May-20 | 3,044.31 | 1394.04004 | 386.600006 |
1-Jun-20 | 3,100.29 | 1441.37 | 435.309998 |
1-Jul-20 | 3,271.12 | 1480.43005 | 444.320007 |
1-Aug-20 | 3,500.31 | 1561.88001 | 513.390015 |
1-Sep-20 | 3,363.00 | 1507.68994 | 490.429993 |
1-Oct-20 | 3,269.96 | 1538.47998 | 447.100006 |
1-Nov-20 | 3,621.63 | 1819.81995 | 478.470001 |
1-Dec-20 | 3,756.07 | 1974.85999 | 500.119995 |
1-Jan-21 | 3,714.24 | 2,012.95 | 503.352987 |
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