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As an investment manager, you now want to determine an optimal portfolio for a w

ID: 2741185 • Letter: A

Question

As an investment manager, you now want to determine an optimal portfolio for a wealthy client from Asia. Your client has $2.5 million to invest, and his objective is to maximize total dollar return from both growth and dividends over the course of the coming year. Your client has researched eight high-tech companies and wants the portfolio to consist of shares in these firms only. Three of the firms (S1-S3) are primarily software companies, three (H1-H3) are primarily hardware companies, and two (C1-C2) are internet consulting companies. Your client has stipulated that no more than 40 percent of the investment be allocated to any one of these three sectors. To assure diversification, at least $100,000 must be invested in each of the eight stocks. Also, the number of shares invested in any stock must be a multiple of 100. The table below gives estimates from your company’s database relating to these stocks. These estimates include the price per share, the projected annual growth rate in the share price, and the anticipated annual dividend payment per share. Stock S1 S2 S3 H1 H2 H3 C1 C2 Price per share $40 $50 $80 $60 $45 $60 $30 $25 Growth rate 0.05 0.1 0.03 0.04 0.07 0.15 0.22 0.25 Dividend $2.00 $1.50 $3.50 $3.00 $2.00 $1.00 $1.80 $0.00 a) Formulate an ILP problem to determine the maximum return on the portfolio. b) Implement your model in a spreadsheet and solve it. c) What is the optimal number of shares to buy for each of the stocks? What is the corresponding dollar amount invested in each stock? d) Compare the solution in which there is no integer restriction on the number of shares invested. By how much (in percentage terms) do the integer restrictions alter the value of the optimal objective function? By how much (in percentage term) do they alter the optimal investment quantities?

Explanation / Answer

A) ILP

Maximise return = 4*1+6.5*2+5.9*3+5.4*4+5.15*5+10*6+8.4*7+6.25*8

Particulars

S1

S2

S3

H1

H2

H3

C1

C2

Price/Share -( A )

40

50

80

60

45

60

30

25

Growth Rate(%) - ( B )

0.05

0.1

0.03

0.04

0.07

0.15

0.22

0.25

Dividend ( C )

2

1.5

3.5

3

2

1

1.8

0

Growth in $ (A)*(B) = (D)

2

5

2.4

2.4

3.15

9

6.6

6.25

Net Profit per year ( C ) + (D)

4

6.5

5.9

5.4

5.15

10

8.4

6.25

No of Shares

2500

6000

1300

1700

2300

13200

29900

4000

Investment in each company

100000

300000

104000

102000

103500

792000

897000

100000

Investment

2498500

Sum of each investment

Profit

485855

Industry S

504000

Industry H

997500

Industry C

997000

D) Change in Optimal Investment = 0.26%

S1

S2

S3

H1

H2

H3

C1

C2

No of Shares

2500

6000

1250

1666.667

2222.222

13333.33

30000

4000

Investment in each

100000

300000

100000

100000

100000

800000

900000

100000

C) Optimal number of shares and corresponding dollar investmetn

S1

S2

S3

H1

H2

H3

C1

C2

No of Shares

2500

6000

1300

1700

2300

13200

29900

4000

Investment in each

100000

300000

104000

102000

103500

792000

897000

100000

Particulars

S1

S2

S3

H1

H2

H3

C1

C2

Price/Share -( A )

40

50

80

60

45

60

30

25

Growth Rate(%) - ( B )

0.05

0.1

0.03

0.04

0.07

0.15

0.22

0.25

Dividend ( C )

2

1.5

3.5

3

2

1

1.8

0

Growth in $ (A)*(B) = (D)

2

5

2.4

2.4

3.15

9

6.6

6.25

Net Profit per year ( C ) + (D)

4

6.5

5.9

5.4

5.15

10

8.4

6.25

No of Shares

2500

6000

1300

1700

2300

13200

29900

4000

Investment in each company

100000

300000

104000

102000

103500

792000

897000

100000

Investment

2498500

Sum of each investment

Profit

485855

Industry S

504000

Industry H

997500

Industry C

997000