Question: 1. Using monthly data for the last 5 years calculate the average monthly returns and standard deviations for the two stocks in your portfolio, Three-month

1. Using monthly data for the last 5 years calculate the average monthly returns and standard deviations for the two stocks in your portfolio, Three-month Treasury Bill, and S&P 500.

2. Use the market model to estimate the beta for the two stock you select by using the last 5 years risk premiums. Then, estimate the annual required return for each stock based on CAPM using the estimated betas, the average market risk premium and the average risk-free rate.

3. What is your portfolio beta and expected portfolio return? (You can assign the weight for each stock as you like.)

Stock A

2018-07-01 45.463856
2018-08-01 54.385090
2018-09-01 54.122692
2018-10-01 52.473156
2018-11-01 42.815765
2018-12-01 37.951195
2019-01-01 40.044350
2019-02-01 41.658722
2019-03-01 45.896694
2019-04-01 48.486916
2019-05-01 42.301319
2019-06-01 48.006603
2019-07-01 51.674057
2019-08-01 50.631073
2019-09-01 54.531597
2019-10-01 60.567390
2019-11-01 65.069283
2019-12-01 71.711739
2020-01-01 75.584900
2020-02-01 66.756752
2020-03-01 62.247086
2020-04-01 71.918648
2020-05-01 77.827843
2020-06-01 89.540314
2020-07-01 104.326248
2020-08-01 126.691673
2020-09-01 113.907471
2020-10-01 107.071640
2020-11-01 117.094238
2020-12-01 130.735321
2021-01-01 130.016068
2021-02-01 119.473709
2021-03-01 120.530418
2021-04-01 129.717010
2021-05-01 122.957794
2021-06-01 135.373611
2021-07-01 144.170532
2021-08-01 150.071396
2021-09-01 140.070587
2021-10-01 148.286728
2021-11-01 163.630157
2021-12-01 176.032745
2022-01-01 173.266891
2022-02-01 163.690506
2022-03-01 173.318909
2022-04-01 156.484299
2022-05-01 147.739441
2022-06-01 135.908463
2022-07-01 161.545380
2022-08-01 156.286774
2022-09-01 137.570496
2022-10-01 152.641541
2022-11-01 147.355713
2022-12-01 129.552719
2023-01-01 143.871017
2023-02-01 146.981964
2023-03-01 164.672226
2023-04-01 169.445618
2023-05-01 177.005173
2023-06-01 184.919998
2023-06-16 184.919998

Stock B

Date Adj Close
2018-07-01 60.862999
2018-08-01 60.909500
2018-09-01 59.673500
2018-10-01 53.838501
2018-11-01 54.721500
2018-12-01 51.780499
2019-01-01 55.818501
2019-02-01 55.995998
2019-03-01 58.665501
2019-04-01 59.424000
2019-05-01 55.181499
2019-06-01 54.045502
2019-07-01 60.834000
2019-08-01 59.404999
2019-09-01 60.950001
2019-10-01 63.005501
2019-11-01 65.248001
2019-12-01 66.850998
2020-01-01 71.711502
2020-02-01 66.966499
2020-03-01 58.140499
2020-04-01 67.432999
2020-05-01 71.445999
2020-06-01 70.680496
2020-07-01 74.148003
2020-08-01 81.709000
2020-09-01 73.480003
2020-10-01 81.050499
2020-11-01 88.037003
2020-12-01 87.594002
2021-01-01 91.787003
2021-02-01 101.843002
2021-03-01 103.431503
2021-04-01 120.505997
2021-05-01 120.578003
2021-06-01 125.316002
2021-07-01 135.220993
2021-08-01 145.462006
2021-09-01 133.265503
2021-10-01 148.270493
2021-11-01 142.451996
2021-12-01 144.679504
2022-01-01 135.698502
2022-02-01 134.891006
2022-03-01 139.649506
2022-04-01 114.966499
2022-05-01 114.039001
2022-06-01 109.372498
2022-07-01 116.639999
2022-08-01 109.150002
2022-09-01 96.150002
2022-10-01 94.660004
2022-11-01 101.449997
2022-12-01 88.730003
2023-01-01 99.870003
2023-02-01 90.300003
2023-03-01 104.000000
2023-04-01 108.220001
2023-05-01 123.370003
2023-06-01 124.059998
2023-06-16 124.059998

3-Month Treasury Bill Secondary Market Rate, Discount Basis, Percent, Monthly, Not Seasonally Adjusted

Date Adj Close
2018-07-01 1.985000
2018-08-01 2.055000
2018-09-01 2.150000
2018-10-01 2.278000
2018-11-01 2.308000
2018-12-01 2.300000
2019-01-01 2.340000
2019-02-01 2.383000
2019-03-01 2.328000
2019-04-01 2.368000
2019-05-01 2.293000
2019-06-01 2.035000
2019-07-01 2.030000
2019-08-01 1.933000
2019-09-01 1.770000
2019-10-01 1.498000
2019-11-01 1.540000
2019-12-01 1.505000
2020-01-01 1.510000
2020-02-01 1.230000
2020-03-01 0.030000
2020-04-01 0.090000
2020-05-01 0.128000
2020-06-01 0.135000
2020-07-01 0.083000
2020-08-01 0.095000
2020-09-01 0.085000
2020-10-01 0.083000
2020-11-01 0.075000
2020-12-01 0.065000
2021-01-01 0.048000
2021-02-01 0.035000
2021-03-01 0.013000
2021-04-01 0.003000
2021-05-01 0.008000
2021-06-01 0.040000
2021-07-01 0.040000
2021-08-01 0.040000
2021-09-01 0.028000
2021-10-01 0.048000
2021-11-01 0.048000
2021-12-01 0.033000
2022-01-01 0.173000
2022-02-01 0.288000
2022-03-01 0.493000
2022-04-01 0.808000
2022-05-01 1.030000
2022-06-01 1.600000
2022-07-01 2.298000
2022-08-01 2.860000
2022-09-01 3.180000
2022-10-01 3.975000
2022-11-01 4.253000
2022-12-01 4.260000
2023-01-01 4.570000
2023-02-01 4.710000
2023-03-01 4.585000
2023-04-01 4.923000
2023-05-01 5.248000
2023-06-01 5.065000

Last 5 year stock closing price for SP500

Frequency: Monthly
observation_date SP500
2018-06-01 2718.37
2018-07-01 2816.29
2018-08-01 2901.52
2018-09-01 2913.98
2018-10-01 2711.74
2018-11-01 2760.17
2018-12-01 2506.85
2019-01-01 2704.10
2019-02-01 2784.49
2019-03-01 2834.40
2019-04-01 2945.83
2019-05-01 2752.06
2019-06-01 2941.76
2019-07-01 2980.38
2019-08-01 2926.46
2019-09-01 2976.74
2019-10-01 3037.56
2019-11-01 3140.98
2019-12-01 3230.78
2020-01-01 3225.52
2020-02-01 2954.22
2020-03-01 2584.59
2020-04-01 2912.43
2020-05-01 3044.31
2020-06-01 3100.29
2020-07-01 3271.12
2020-08-01 3500.31
2020-09-01 3363.00
2020-10-01 3269.96
2020-11-01 3621.63
2020-12-01 3756.07
2021-01-01 3714.24
2021-02-01 3811.15
2021-03-01 3972.89
2021-04-01 4181.17
2021-05-01 4204.11
2021-06-01 4297.50
2021-07-01 4395.26
2021-08-01 4522.68
2021-09-01 4307.54
2021-10-01 4605.38
2021-11-01 4567.00
2021-12-01 4766.18
2022-01-01 4515.55
2022-02-01 4373.94
2022-03-01 4530.41
2022-04-01 4131.93
2022-05-01 4132.15
2022-06-01 3785.38
2022-07-01 4130.29
2022-08-01 3955.00
2022-09-01 3585.62
2022-10-01 3871.98
2022-11-01 4080.11
2022-12-01 3839.50
2023-01-01 4076.60
2023-02-01 3970.15
2023-03-01 4109.31
2023-04-01 4169.48
2023-05-01 4179.83
2023-06-01 #N/A

Beta is often estimated by linear regression. A model commonly used is called the market model, which is: Rt Rft = i + i [RMt Rft] + t

Please help so I can understand this please thank you, I will make sure to upvote you.

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