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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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