solution
STEP 1 given that
month | portfolio return | s&p 500 return |
jan |
5.8% |
6.2 % |
feb | - 2.3 % | -2.7 % |
march | - 1.8 % | -0.9 % |
april | 2.6 % | 2.0 % |
may | 0.4 % | -0.2 % |
june | -0.8 % | -0.3 % |
july | 0.4 % | 0.7 % |
aug | 1.1 % | 1.4 % |
sept | -0.4 % | -0.1 % |
oct | -3.1 % | -3.4 % |
nov | 2.6 % | 1.7% |
dec | 0.6 % | 0.3% |
E(Ri) | 0.425 | 0.39 |
Step 1 Calculate the Variance of portfolio and S&P
Month | portfolio Return | Ri - E(Ri) | s&p 500 return | Rm -E(Rm) | [(Ri - E(Ri) x(Rm -E(Rm))] |
jan |
5.8% |
5.375 | 6.2 % | 5.81 | 0.3123% |
feb | - 2.3 % | -2.725 | -2.7 % | -3.09 | 0.0842% |
march | - 1.8 % | -2.225 | -0.9 % | -1.29 | 0.0287% |
april | 2.6 % | 2.175 | 2.0 % | 1.61 | 0.04% |
may | 0.4 % | -0.025 | -0.2 % | -0.59 | 0.0001% |
june | -0.8 % | -1.225 | -0.3 % | -0.69 | 0.0085% |
july | 0.4 % | -0.025 | 0.7 % | 0.31 | -0.0000775 % |
aug | 1.1 % | 0.675 | 1.4 % | 1.01 | 0.0068% |
sept | -0.4 % | -0.825 | -0.1 % | -0.49 | 0.0040% |
oct | -3.1 % | -3.525 | -3.4 % | -3.79 | 0.1336% |
nov | 2.6 % | 2.175 | 1.7% | 1.31 | 0.0285% |
dec | 0.6 % | 0.175 | 0.3% | -0.09 | -0.0001575 |
Average Retyurn | 0.6465% |
Variance of Portfolio = [(5.375)2 +(-2.725)2 +(-2.225)2+(2.175)2+(-0.025)2+(-1.225)2+ (-0.025)2+(0.675)2+(-0.825)2+(-3.525)2+(2.175)2+(0.175)2] /12
= 5.4852 %
Variance of s&p 500 return = [(5.81)2+(-3.09)2+(-1.29)2+(1.61)2+(-0.59)2+(-0.69)2+(0.31)2+ (1.01)2+ (-0.49)2+(-3.79)2+(1.31)2+(-0.09)2] /12
= 5.4858 %
Standard Deviation of Portfolio = it is root squre of variance
p = 5.4852
=2.3421
Standard Deviation of s&p 500 return = it is root squre of variance
m =5.4858
=2.3422
Step 2 : Calculation of CoVariance
COVpm = 64.65 /12
= 5.3875
Calculation value of R :
Rpm =
= 5.3875 / (2.3421) x(2.3422)
= 5.3875 /5.4857
= 0.9821
STEP 4 value of R2 is caluclated as :
R2 =(0.9821)2
= 0.9645
Therefore the value of R2 = 0.9645
now we calcualted value of Beta
= 5.3875/5.4858
= 0.9821
Therefore the value of beta is 0.9821
now we calcualted value of alpha
Alpha =E(Rp ) - [E(Rm)]
=0.425 -0.9821( 0.39)
= 0.041981
Therefore the value of alpha = 0.041981
STEP 5 ; computation of Average return differential with sign
month | portfolio return | s&p 500 return | Return Differential |
jan |
5.8% |
6.2 % | -0.4 |
feb | - 2.3 % | -2.7 % | 0.4 |
march | - 1.8 % | -0.9 % | -0.9 |
april | 2.6 % | 2.0 % | 0.6 |
may | 0.4 % | -0.2 % | 0.6 |
june | -0.8 % | -0.3 % | -0.5 |
july | 0.4 % | 0.7 % | -0.3 |
aug | 1.1 % | 1.4 % | -0.3 |
sept | -0.4 % | -0.1 % | -0.3 |
oct | -3.1 % | -3.4 % | 0.3 |
nov | 2.6 % | 1.7% | 0.9 |
dec | 0.6 % | 0.3% | 0.3 |
Total | 0.4 |
Average = 0.4 /12
= 0.0333 %
step 6 : computation of Average return differential without sign
month | portfolio return | s&p 500 return | Return Differential |
jan |
5.8% |
6.2 % | -0.4 |
feb | 2.3 % | 2.7 % | -0.4 |
march | 1.8 % | 0.9 % | 0.9 |
april | 2.6 % | 2.0 % | 0.6 |
may | 0.4 % | 0.2 % | 0.2 |
june | 0.8 % | 0.3 % | 0.5 |
july | 0.4 % | 0.7 % | -0.3 |
aug | 1.1 % | 1.4 % | -0.3 |
sept | 0.4 % | 0.1 % | 0.3 |
oct | 3.1 % | 3.4 % | -0.3 |
nov | 2.6 % | 1.7% | 0.9 |
dec | 0.6 % | 0.3% | 0.3 |
Total | 2 |
Average =2/12
=0.167 %
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