I ONLY CAN SHOW ONE OPTIONS OF THEM
1.
average return = sum of all returns / number of terms
For stock A,
average return = (40 - 10 +35 - 5) / 4 = 15%
Standard deviation=
data | data-mean | (data - mean)2 |
40 | 25 | 625 |
-10 | -25 | 625 |
35 | 20 | 400 |
-5 | -20 | 400 |
For Stock B and Stock C, since the values are same (just the order is different) So mean and Standard deviation will remain same.
MEAN=15%
SD=26.14
2.
(a) STOCK A AND B
CORRELATION COEFFICIENT:-
X | Y | X⋅Y | X⋅X | Y⋅Y |
40 | -5 | -200 | 1600 | 25 |
-10 | 40 | -400 | 100 | 1600 |
35 | -10 | -350 | 1225 | 100 |
-5 | 35 | -175 | 25 | 1225 |
∑X=60 , ∑Y=60 , ∑X⋅Y=−1125 , ∑X2=2950 , ∑Y2=2950
AVERAGE RETURN-
Since weight of stock A and B is same (i.e. 0.5 each) So average return is the average of stock A and B i.e. 15%
STANDARD DEVIATION of PORTFOLIO:-
here WA = WB = 0.5
SD of A = SD of B = 26.1406
Rho is the correlation coefficient calculated above = -0.9878
So SD of portfolio comes out to be 2.04
Similarly for portfolio A and C
X | Y | X⋅Y | X⋅X | Y⋅Y |
40 | 35 | 1400 | 1600 | 1225 |
-10 | -5 | 50 | 100 | 25 |
35 | -10 | -350 | 1225 | 100 |
-5 | 40 | -200 | 25 | 1600 |
∑X=60 , ∑Y=60 , ∑X⋅Y=900 , ∑X2=2950 , ∑Y2=2950
AVERAGE RETURN-
Since weight of stock A and B is same (i.e. 0.5 each) So average return is the average of stock A and B i.e. 15%
STANDARD DEVIATION of PORTFOLIO:-
As above, it is 18.48
3.
Portfolio AB, it has lower standard deviation and negative correlation coefficient
4.
Diversification can reduce risk but not eliminate it
Returns on stocks in the same industry are more closely correlated
than on stocks in different industries
I ONLY CAN SHOW ONE OPTIONS OF THEM 7. Using historical data to measure portfolio risk...
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