Get Instant Help From 5000+ Experts For
question

Writing: Get your essay and assignment written from scratch by PhD expert

Rewriting: Paraphrase or rewrite your friend's essay with similar meaning at reduced cost

Editing:Proofread your work by experts and improve grade at Lowest cost

And Improve Your Grades
myassignmenthelp.com
loader
Phone no. Missing!

Enter phone no. to receive critical updates and urgent messages !

Attach file

Error goes here

Files Missing!

Please upload all relevant files for quick & complete assistance.

Guaranteed Higher Grade!
Free Quote
wave
Answer:
Introduction

In this report, an attempt is made to discuss the important topics of optimal portfolio and the systematic risk of the shares of a company. The portfolio that maximizes the return of the investors based on the preference of risk is known as optimal portfolio. The investors prefer an efficient portfolio because the characteristics of risk or reward of the portfolio satisfies the utility function of the investor. It is important to determine the optimal portfolio because it maximizes the return based on the expected risk of the investors. There are two types of risk associated with investment in shares of a company. These two types of risks are systematic risk and unsystematic risk and in this report, the focus is on systematic risk. The systematic risk is an inherent risk for the entire market segment and it is also known as diversifiable risk. It is not possible to completely avoid systematic risk, as it is unpredictable. However, the systematic risk can be reduced by diversification and using proper asset allocation strategy. In most cases beta is used for determining the systematic risk. Therefore, it can be said that is important to determine systematic risk for proper asset allocation and avoid unnecessary risk.  

The main aim of this report is to determine the optimal portfolio of two risky assets and one-risk free assets. The report also calculates the systematic risks of two risky assets for period before and after general financial crisis.

Company Profile

The two companies that have been selected from Australian Stock Exchange for investment in risky assets are Adelaide Brighton Limited (ABC.AX) and AMP Limited (AMP.AX). The Adelaide Brighton Limited is engaged in manufacturing and distribution of construction materials in Australia. The operation of the company is divided into two segments. The products of the company are offered to residential or nonresidential construction, alumina production, engineering Construction and for mining. The company headquarter is located in Adelaide Australia and it was founded in the year 1882. The second company that have been selected as risky assets is AMP Limited. This company is engaged an independent Wealth Management mainly in Australia and New Zealand. The company operates through multiple segments like Australian Wealth Management, AMP capital, AMP bank and others. The company manages investments in various sectors and offer various financial products. The company is headquartered in Sydney Australia and was founded in the year 1849.

Empirical analysis

In this section of the report, the calculation is provided and it is segregated between pre global financial crisis and post global financial crisis era.

Pre Global Financial crisis

Pre Global Financial Crisis calculations

 

Adelaide Brighton Limited (ABC)

AMP Limited (AMP)

Date

Adj Close

Return %

Adj Close

Return %

31-07-08

1.88

-3%

3.70

1.42%

31-08-08

1.60

-15%

3.71

0.29%

30-09-08

1.21

-25%

2.99

-19.48%

31-10-08

1.05

-13%

2.97

-0.74%

30-11-08

1.12

6%

2.99

0.93%

31-12-08

0.90

-19%

2.91

-2.77%

31-01-09

0.92

1%

2.67

-8.35%

28-02-09

1.04

13%

2.60

-2.69%

31-03-09

1.21

16%

3.02

16.43%

30-04-09

1.31

9%

2.82

-6.74%

31-05-09

1.29

-2%

2.84

0.83%

30-06-09

1.42

11%

3.27

15.16%

31-07-09

1.57

10%

3.71

13.17%

31-08-09

1.64

5%

3.80

2.52%

30-09-09

1.67

2%

3.56

-6.22%

31-10-09

1.47

-12%

3.70

3.87%

30-11-09

1.62

10%

4.05

9.55%

31-12-09

1.46

-10%

3.75

-7.53%

31-01-10

1.40

-4%

3.56

-5.11%

28-02-10

1.59

14%

3.87

8.72%

31-03-10

1.81

14%

3.87

0.00%

30-04-10

1.68

-7%

3.45

-10.70%

31-05-10

1.65

-2%

3.22

-6.80%

30-06-10

1.95

18%

3.27

1.73%

31-07-10

2.02

3%

3.11

-4.91%

31-08-10

2.21

9%

3.16

1.39%

30-09-10

2.30

4%

3.42

8.43%

31-10-10

1.93

-16%

3.24

-5.43%

30-11-10

2.12

10%

3.39

4.75%

31-12-10

2.16

2%

3.43

1.13%

31-01-11

2.12

-1%

3.40

-0.75%

28-02-11

2.18

3%

3.60

5.91%

31-03-11

2.14

-2%

3.64

0.92%

30-04-11

2.13

0%

3.46

-4.93%

31-05-11

2.09

-2%

3.25

-6.14%

30-06-11

1.77

-15%

3.03

-6.75%

31-07-11

1.89

7%

3.01

-0.66%

31-08-11

1.86

-2%

2.62

-12.80%

30-09-11

2.02

9%

2.95

12.65%

31-10-11

2.04

1%

2.86

-3.04%

30-11-11

2.03

0%

2.81

-1.93%

31-12-11

2.09

3%

2.95

4.91%

Average

 

0.69%

 

-0.23%

Variance

 

1.013%

 

0.564%

Standard Deviation

 

10.06%

 

7.51%

Covariance

0.44%

 

 

 

Table1: Calculations

(Source: Created by Author)

Calculation of Optimum weights for risky assets

Particulars

Amount

Expected Return of ABC

0.69%

Expected Return of AMP

-0.23%

Standard deviation of ABC

10.06%

Standard deviation of AMP

7.51%

Risk free rate

4.52%

Covariance

0.44%

Optimum weight for ABC

0.37

Optimum weight for AMP

0.63

Table 2: Optimum weightage

(Source: created by Author)

Optimum portion of risk and risk free assets

Particulars

Amount

Expected Return of portfolio

0.11%

Standard deviation

21%

Optimum portion of risky assets

-0.19

Optimum portion of risk free assets

1.19

Table 3: Mean and Standard deviation

(Source: Created by Author) 

Post Global Financial crisis

Post Global Financial Crisis calculations

 

Adelaide Brighton Limited

AMP Limited

Date

Adj Close

Return %

Adj Close

Return %

31-01-12

2.11

0.99%

2.77

-6.09%

29-02-12

2.13

0.97%

3.11

12.29%

31-03-12

2.24

5.17%

3.07

-1.16%

30-04-12

2.16

-3.61%

2.79

-9.13%

31-05-12

2.34

8.16%

2.77

-0.77%

30-06-12

2.47

5.66%

2.88

4.16%

31-07-12

2.15

-13.10%

3.21

11.22%

31-08-12

2.29

6.81%

3.11

-2.91%

30-09-12

2.41

5.32%

3.42

9.81%

31-10-12

2.42

0.32%

3.43

0.22%

30-11-12

2.38

-1.89%

3.58

4.57%

31-12-12

2.58

8.65%

3.96

10.60%

31-01-13

2.79

7.96%

4.08

3.01%

28-02-13

2.69

-3.28%

3.88

-4.93%

31-03-13

2.68

-0.46%

4.15

6.79%

30-04-13

2.63

-2.06%

3.98

-4.07%

31-05-13

2.60

-0.90%

3.26

-17.95%

30-06-13

2.59

-0.61%

3.47

6.35%

31-07-13

2.64

2.13%

3.64

4.87%

31-08-13

3.00

13.66%

3.54

-2.74%

30-09-13

3.13

4.34%

3.76

6.17%

31-10-13

3.09

-1.56%

3.69

-1.69%

30-11-13

2.99

-3.17%

3.48

-5.79%

31-12-13

3.08

3.00%

3.38

-2.73%

31-01-14

3.40

10.58%

3.83

13.11%

28-02-14

3.33

-2.05%

3.95

3.11%

31-03-14

3.25

-2.49%

4.13

4.64%

30-04-14

2.80

-13.81%

4.33

4.75%

31-05-14

2.87

2.37%

4.34

0.19%

30-06-14

3.04

6.09%

4.49

3.58%

31-07-14

2.95

-3.01%

4.81

7.10%

31-08-14

2.67

-9.58%

4.47

-7.14%

30-09-14

2.88

8.02%

4.92

10.20%

31-10-14

2.94

2.08%

4.75

-3.59%

30-11-14

3.06

4.08%

4.63

-2.48%

31-12-14

3.07

0.28%

4.85

4.91%

31-01-15

3.67

19.55%

5.64

16.12%

28-02-15

3.89

5.84%

5.42

-3.88%

31-03-15

4.00

2.85%

5.57

2.80%

30-04-15

4.11

2.88%

5.76

3.42%

31-05-15

3.81

-7.31%

5.21

-9.61%

30-06-15

4.18

9.74%

5.72

9.80%

31-07-15

3.99

-4.65%

5.15

-9.98%

31-08-15

3.85

-3.55%

4.81

-6.55%

30-09-15

3.85

0.22%

5.12

6.48%

31-10-15

3.99

3.58%

5.19

1.40%

30-11-15

4.37

9.45%

5.21

0.34%

31-12-15

4.35

-0.42%

4.80

-7.89%

31-01-16

4.55

4.65%

4.75

-0.93%

29-02-16

4.66

2.42%

5.17

8.83%

31-03-16

4.91

5.19%

5.45

5.40%

30-04-16

5.39

9.86%

5.23

-4.08%

31-05-16

5.29

-1.94%

4.79

-8.51%

30-06-16

5.61

6.10%

5.39

12.60%

31-07-16

4.98

-11.17%

4.88

-9.47%

31-08-16

5.26

5.52%

5.08

4.10%

30-09-16

5.20

-1.18%

4.40

-13.45%

31-10-16

4.97

-4.30%

4.52

2.84%

30-11-16

5.27

6.05%

4.85

7.23%

31-12-16

4.97

-5.75%

4.81

-0.79%

Average

 

1.78%

 

1.02%

Variance

 

0.44%

 

0.49%

Standard Deviation

 

6.62%

 

6.97%

Covariance

0.23%

 

 

 

Table 4: Calculation

(Source: created by Author)

Calculation of Optimum weights for risky assets

Particulars

Amount

Expected Return of ABC

1.78%

Expected Return of AMP

1.02%

Standard deviation of ABC

6.62%

Standard deviation of AMP

6.97%

Risk free rate

2.64%

Covariance

0.23%

Optimum weight for ABC

0.35

Optimum weight for AMP

0.65

Table 5: Optimum weightage

(Source: created by Author)

Mean and Standard Deviation of optimum Portfolio

Particulars

Amount

Expected Return of portfolio

1.28%

Standard deviation

20%

Optimum portion of risky assets

-0.07

Optimum portion of risk free assets

1.07

Table 6: Mean and Standard deviation

(Source: Created by Author)

Analysis

The tables above shows the calculation of the expected return, variance, standard deviation and covariance. The calculation of optimum weight of the portfolio is also provided for the pre and post global financial crisis is calculated.  On analyzing the calculation, it can be seen that the optimum weightage has shifted in pre and post global financial crisis period. It can be seen that pre global financial crisis the more weightage was given to AMP in portfolio and after the post-financial crisis, the emphasis further increased. It can be seen that the expected return from the portfolio has increased post financial crisis. On analyzing the calculations, it can be seen that there has been a shift from risk free assets to risky assets from pre global financial crisis to post global financial crisis. The calculation of portfolio allocation came in negative, as the return from risky assets is less than risk free assets. That means the investor will not invest in risky assets, as the rate of return is less.

Systematic risk of the risky assets

The calculation of pre and post global financial crisis systematic risk of stock is given below.

Calculation of Systematic risk Pre Global Financial crisis

Date

ADJ close

Market Return

ABC

AMP

31-07-08

5215.50

3.33%

-3.44%

1.42%

31-08-08

4631.30

-11%

-14.64%

0.29%

30-09-08

3982.70

-14%

-24.64%

-19.48%

31-10-08

3672.70

-8%

-13.00%

-0.74%

30-11-08

3659.30

0%

6.33%

0.93%

31-12-08

3478.10

-5%

-19.05%

-2.77%

31-01-09

3296.90

-5%

1.47%

-8.35%

28-02-09

3532.30

7%

13.33%

-2.69%

31-03-09

3744.70

6%

16.18%

16.43%

30-04-09

3813.30

2%

8.53%

-6.74%

31-05-09

3947.80

4%

-1.75%

0.83%

30-06-09

4249.50

8%

10.67%

15.16%

31-07-09

4484.10

6%

10.04%

13.17%

31-08-09

4739.30

6%

4.88%

2.52%

30-09-09

4646.90

-2%

1.79%

-6.22%

31-10-09

4715.50

1%

-12.32%

3.87%

30-11-09

4882.70

4%

10.44%

9.55%

31-12-09

4596.90

-6%

-10.18%

-7.53%

31-01-10

4651.10

1%

-4.05%

-5.11%

28-02-10

4893.10

5%

13.91%

8.72%

31-03-10

4833.90

-1%

13.57%

0.00%

30-04-10

4453.60

-8%

-6.83%

-10.70%

31-05-10

4324.80

-3%

-1.83%

-6.80%

30-06-10

4507.40

4%

18.28%

1.73%

31-07-10

4438.80

-2%

3.47%

-4.91%

31-08-10

4636.90

4%

9.45%

1.39%

30-09-10

4733.40

2%

4.07%

8.43%

31-10-10

4676.40

-1%

-16.20%

-5.43%

30-11-10

4846.90

4%

10.00%

4.75%

31-12-10

4850.00

0%

1.52%

1.13%

31-01-11

4923.60

2%

-1.49%

-0.75%

28-02-11

4928.60

0%

2.58%

5.91%

31-03-11

4899.00

-1%

-1.86%

0.92%

30-04-11

4788.90

-2%

-0.32%

-4.93%

31-05-11

4659.80

-3%

-1.90%

-6.14%

30-06-11

4500.50

-3%

-15.21%

-6.75%

31-07-11

4369.90

-3%

6.87%

-0.66%

31-08-11

4070.10

-7%

-1.95%

-12.80%

30-09-11

4360.50

7%

8.71%

12.65%

31-10-11

4184.70

-4%

1.05%

-3.04%

30-11-11

4111.00

-2%

-0.34%

-1.93%

31-12-11

4325.70

5%

2.77%

4.91%

 

 

 

 

 

Variance of Index return

 

0.26%

 

 

Covariance

 

 

0.37%

0.28%

Beta (systematic risk)

 

 

1.42

1.09

Table 7: Pre GFC calculation

(Source: Created by Author)

Post Global financial crisis

Calculation of Systematic risk Post Global Financial crisis

Date

ADJ close

Market Return

ABC

AMP

31-01-12

4388.10

1.44%

0.99%

-6%

29-02-12

4420.00

0.73%

0.97%

12%

31-03-12

4467.20

1.07%

5.17%

-1%

30-04-12

4133.70

-7.47%

-3.61%

-9%

31-05-12

4135.50

0.04%

8.16%

-1%

30-06-12

4289.40

3.72%

5.66%

4%

31-07-12

4339.00

1.16%

-13.10%

11%

31-08-12

4406.30

1.55%

6.81%

-3%

30-09-12

4535.40

2.93%

5.32%

10%

31-10-12

4518.00

-0.38%

0.32%

0%

30-11-12

4664.60

3.24%

-1.89%

5%

31-12-12

4901.00

5.07%

8.65%

11%

31-01-13

5120.40

4.48%

7.96%

3%

28-02-13

4979.90

-2.74%

-3.28%

-5%

31-03-13

5168.60

3.79%

-0.46%

7%

30-04-13

4914.00

-4.93%

-2.06%

-4%

31-05-13

4775.40

-2.82%

-0.90%

-18%

30-06-13

5035.70

5.45%

-0.61%

6%

31-07-13

5125.30

1.78%

2.13%

5%

31-08-13

5217.70

1.80%

13.66%

-3%

30-09-13

5420.30

3.88%

4.34%

6%

31-10-13

5314.30

-1.96%

-1.56%

-2%

30-11-13

5353.10

0.73%

-3.17%

-6%

31-12-13

5205.10

-2.76%

3.00%

-3%

31-01-14

5415.40

4.04%

10.58%

13%

28-02-14

5403.00

-0.23%

-2.05%

3%

31-03-14

5470.80

1.25%

-2.49%

5%

30-04-14

5473.80

0.05%

-13.81%

5%

31-05-14

5382.00

-1.68%

2.37%

0%

30-06-14

5623.10

4.48%

6.09%

4%

31-07-14

5624.60

0.03%

-3.01%

7%

31-08-14

5296.80

-5.83%

-9.58%

-7%

30-09-14

5505.00

3.93%

8.02%

10%

31-10-14

5298.10

-3.76%

2.08%

-4%

30-11-14

5388.60

1.71%

4.08%

-2%

31-12-14

5551.60

3.02%

0.28%

5%

31-01-15

5898.50

6.25%

19.55%

16%

28-02-15

5861.90

-0.62%

5.84%

-4%

31-03-15

5773.70

-1.50%

2.85%

3%

30-04-15

5774.90

0.02%

2.88%

3%

31-05-15

5451.20

-5.61%

-7.31%

-10%

30-06-15

5681.70

4.23%

9.74%

10%

31-07-15

5222.10

-8.09%

-4.65%

-10%

31-08-15

5058.60

-3.13%

-3.55%

-7%

30-09-15

5288.60

4.55%

0.22%

6%

31-10-15

5218.20

-1.33%

3.58%

1%

30-11-15

5344.60

2.42%

9.45%

0%

31-12-15

5056.60

-5.39%

-0.42%

-8%

31-01-16

4947.90

-2.15%

4.65%

-1%

29-02-16

5151.80

4.12%

2.42%

9%

31-03-16

5316.00

3.19%

5.19%

5%

30-04-16

5447.80

2.48%

9.86%

-4%

31-05-16

5310.40

-2.52%

-1.94%

-9%

30-06-16

5644.00

6.28%

6.10%

13%

31-07-16

5529.40

-2.03%

-11.17%

-9%

31-08-16

5525.20

-0.08%

5.52%

4%

30-09-16

5402.40

-2.22%

-1.18%

-13%

31-10-16

5502.40

1.85%

-4.30%

3%

30-11-16

5719.10

3.94%

6.05%

7%

31-12-16

5675.00

-0.77%

-5.75%

-1%

Variance of Index return

 

0.12%

 

 

Covariance

 

 

0.13%

0.19%

Beta (systematic risk)

 

 

1.13

1.61

Table 8: Post Financial crisis

(Source: Created by Author)

Analysis

The calculation above shows the systematic risk of stocks for pre and post-global financial crisis. The beta of the stocks are calculated for determining the systematic risk. On analyzing the calculation, it shows that pre global financial crisis the beta of ABC is more than that of AMP. That means for investments ABC is more risky than AMP. The beta calculation post global financial crisis shows that the beta of AMP is more than that of ABC. This indicates that after the financial crisis the shares of AMP has become more risky than ABC. It is further observed that from the prospective of individual stock the system risk associated with the stock ABC has decreased and the systematic risk associated with the stock AMP has increased.

Conclusion

The above discussion and calculation has helped to analyze the optimum portfolio and systematic risk pre and post global financial crisis. It can be seen that the pre and post-global financial crisis the optimum weight for risky assets have almost remained similar. However, it can be seen that pre global financial crisis the assets allocation for the risk free assets is more than the risky assets. The calculation shows that in the post global financial crisis the assets allocation for the risky assets increased. The report also shows the calculation of systematic risks of two stocks. It can be seen that the systematic risk of AMP Limited is more than ABC post the global financial risk. 

Reference

DeFusco, Richard A., Dennis W. McLeavey, Mark JP Anson, Jerald E. Pinto, and David E. Runkle. Quantitative investment analysis. John Wiley & Sons, 2015.

Bodie, Zvi. Investments. McGraw-Hill, 2013.

Chisholm, Dan, Kim Sweeny, Peter Sheehan, Bruce Rasmussen, Filip Smit, Pim Cuijpers, and Shekhar Saxena. "Scaling-up treatment of depression and anxiety: a global return on investment analysis." The Lancet Psychiatry 3, no. 5 (2016): 415-424.

Dolecheck, K. A., G. Heersche, and J. M. Bewley. "Retention payoff–based cost per day open regression equations: Application in a user-friendly decision support tool for investment analysis of automated estrus detection technologies." Journal of dairy science 99, no. 12 (2016): 10182-10193.

Akimova, Elena Mihailovna, Elena Mihailovna Stein, and Yulia Sergeevna Prokhorova. "System Analysis in the Investment Processes Management and Theoretical Principles of the Investments Assessment." Journal of Advanced Research in Law and Economics 6, no. 3 (13) (2015): 472.

Landau, Steve, Glen Weisbrod, Geoffrey Gosling, Christopher Williges, Melissa Pumphrey, and Mark Fowler. Passenger Value of Time, Benefit-Cost Analysis, and Airport Capital Investment Decisions. Volume 1: Guidebook for Valuing User Time Savings in Airport Capital Investment Decision Analysis. No. ACRP 03-19. 2015.

Cite This Work

To export a reference to this article please select a referencing stye below:

My Assignment Help. (2022). Optimal Portfolio And Systematic Risk: Pre And Post Global Financial Crisis. Retrieved from https://myassignmenthelp.com/free-samples/acfi3008-financial-analysis-and-valuation/topics-of-optimal-portfolio-file-D8F4C6.html.

"Optimal Portfolio And Systematic Risk: Pre And Post Global Financial Crisis." My Assignment Help, 2022, https://myassignmenthelp.com/free-samples/acfi3008-financial-analysis-and-valuation/topics-of-optimal-portfolio-file-D8F4C6.html.

My Assignment Help (2022) Optimal Portfolio And Systematic Risk: Pre And Post Global Financial Crisis [Online]. Available from: https://myassignmenthelp.com/free-samples/acfi3008-financial-analysis-and-valuation/topics-of-optimal-portfolio-file-D8F4C6.html
[Accessed 26 April 2024].

My Assignment Help. 'Optimal Portfolio And Systematic Risk: Pre And Post Global Financial Crisis' (My Assignment Help, 2022) <https://myassignmenthelp.com/free-samples/acfi3008-financial-analysis-and-valuation/topics-of-optimal-portfolio-file-D8F4C6.html> accessed 26 April 2024.

My Assignment Help. Optimal Portfolio And Systematic Risk: Pre And Post Global Financial Crisis [Internet]. My Assignment Help. 2022 [cited 26 April 2024]. Available from: https://myassignmenthelp.com/free-samples/acfi3008-financial-analysis-and-valuation/topics-of-optimal-portfolio-file-D8F4C6.html.

Get instant help from 5000+ experts for
question

Writing: Get your essay and assignment written from scratch by PhD expert

Rewriting: Paraphrase or rewrite your friend's essay with similar meaning at reduced cost

Editing: Proofread your work by experts and improve grade at Lowest cost

loader
250 words
Phone no. Missing!

Enter phone no. to receive critical updates and urgent messages !

Attach file

Error goes here

Files Missing!

Please upload all relevant files for quick & complete assistance.

Plagiarism checker
Verify originality of an essay
essay
Generate unique essays in a jiffy
Plagiarism checker
Cite sources with ease
support
Whatsapp
callback
sales
sales chat
Whatsapp
callback
sales chat
close