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Q1. Consider two stocks, with the random rates of return being r1 and r2. The expected rates of return are r-1 and r-2. The variances of the stocks' return rates are σ12 and σ22. The covariance is Cov[r1, r2] = σ12. These two stocks are available to form a portfolio. Derive the weights assigned to each stock in order to achieve a portfolio with the minimum variance.

Q2. Let's return to the data given. What is the minimum variance portfolio formed by all the stocks? You can use a software to solve linear equations.

Data for question 2 -

Table 1 and 2 below provide the standard deviation of individual stock returns and the correlation between them for several common stocks.

Table 1


Microsoft

Dell

Alaska
Air

Southwest Airlines

Ford
Motor

Heinz

General
Mills

Standard
Deviation

35%

47%

38%

32%

53%

19%

17%

Table 2


Microsoft

Dell

Alaska
Air

Southwest Airlines

Ford
Motor

Heinz

General
Mills

Microsoft

1

0.63

0.24

0.25

0.27

0.17

0.1

Dell

0.63

1

0.19

0.24

0.31

0.12

0.09

Alaska Air

0.24

0.19

1

0.36

0.15

0.26

0.15

Southwest Airlines

0.25

0.24

0.36

1

0.31

0.26

0.22

Ford Motor

0.27

0.31

0.15

0.31

1

0.16

0.05

Heinz

0.17

0.12

0.26

0.26

0.16

1

0.5

General Mills

0.1

0.09

0.15

0.22

0.05

0.5

1

Q3. The information concerning the 1-year co-variances and mean values of the rates of return on five securities is shown in Table 1. The mean values are expressed on a percentage basis, whereas the co-variances are expressed in units of (percent)2/100. For example, the first security has an expected rate of return of 15.1% = 0.151 and a variance of return of 0.023.

(a) Find the minimum variance set formed by these five securities. You can use a software to solve linear equations.

(b) In one r- - σ diagram, plot the minimum variance set and the five securities. (Your graph should includes one curve and five dots.)

Table 1: Co-variances and mean values of the rates of return on five securities.

Security

Covariance V

r-

1

2.30

0.93

0.62

0.74

-0.23

15.1

2

0.93

1.40

0.22

0.56

0.26

12.5

3

0.62

0.22

1.80

0.78

0.27

14.7

4

0.74

0.56

0.78

3.40

-0.56

9.02

5

-0.23

0.26

0.27

-0.56

2.60

17.68

For question 3, please use excel.

Econometrics, Economics

  • Category:- Econometrics
  • Reference No.:- M92776910

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