Investment Portfolio Term Paper

Corporate Finance Andrea Corbridge is an investor who is considering investing in the stock portfolios of the Adelphia Technologies and Kalama Corp. The paper uses the Excel software to calculate the possible investment combination of the two portfolios. Based on the expected returns and the standard deviations of the two equities, the paper calculates the optimal investment combinations from 0% to 100% and the findings reveal there will be 18.65% expected returns from the investments. Based on the information on the two portfolios, it is advisable for Andrea to investment 39% ($19,736.84) of his $50,000 in the Kalama Corp equity and 61% ($30,263.16) in the Adelphia Technologies equity to earn 19% expected returns. Major reason is that the returns of the equity of Adelphia Technologies are higher than the returns of the Kalama Corp equity. By using the 39% and 61% investment combination, Andrea is likely to earn 19% expected returns from the two investment portfolios.

However, the paper suggests that investing in the Medford Barnett Corporation (MBC) equity portfolio is not a good decision because the share price of the MBC investment portfolio is likely to decline in the future. The paper uses the 3-month moving average to forecast the share prices of the MBS stock portfolio in the next 12 months. The findings reveal that its stock price is likely to decline from $52.03 to $46.19 within the next 12 months, which will make Andrea to record a loss from the investment if eventually he decides to sell the stocks after 12 months.

1.

The data in the Table 1 reveals the possible investment combination for the Kalama Corp. And Adelphia Technologies. (Graham, Smart, & Megisson, 2010). The paper uses the Excel software to calculate the optimal combination for the two equity portfolios, and the results are in the Table 1 reveals the output of the optimal combination.

Table 1. Possible Investment Combination for the Kalama Corp. And Adelphia Technologies.

Inputs

Standard

Expected

Expected

Deviation

Returns

Risk Free Rate

Risk Free Rate

0%

3%

0%

Kalama Corp.

23%

15%

12%

Adelphia Technologies

32%

23%

20%

Correlation

-0.1789

Outputs

Optimal

(x-axis)

Trade off Curve

Trade off line

Combination

Standard

Expected

Expected

Deviation

Returns

Return

Trade off

0%

0.3189

0.2311

Trade off

1.00%

0.31530147

0.230275

Trade off

2.00%

0.31172007

0.22945

Trade off

3.00%

0.30815641

0.228625

Trade off

4.00%

0.30461112

0.2278

Trade off

5.00%

0.30108483

0.226975

Trade off

6.00%

0.29757822

0.22615

Trade off

7.00%

0.29409201

0.225325

Trade off

8.00%

0.29062691

0.2245

Trade off

9.00%

0.2871837

0.223675

Trade off

10.00%

0.28376318

0.22285

Trade off

11.00%

0.28036616

0.222025

Trade off

12.00%

0.27699353

0.2212

Trade off

13.00%

0.27364618

0.220375

Trade off

14.00%

0.27032504

0.21955

Trade off

15.00%

0.2670311

0.218725

Trade off

16.00%

0.26376538

0.2179

Trade off

17.00%

0.26052893

0.217075

Trade off

18.00%

0.25732287

0.21625

Trade off

19.00%

0.25414834

0.215425

Trade off

20.00%

0.25100654

0.2146

Trade off

21.00%

0.2478987

0.213775

Trade off

22.00%

0.24482614

0.21295

Trade off

23.00%

0.24179018

0.212125

Trade off

24.00%

0.23879224

0.2113

Trade off

25.00%

0.23583374

0.210475

Trade off

26.00%

0.23291621

0.20965

Trade off

27.00%

0.2300412

0.208825

Trade off

28.00%

0.22721032

0.208

Trade off

29.00%

0.22442524

0.207175

Trade off

30.00%

0.22168769

0.20635

Trade off

31.00%

0.21899945

0.205525

Trade off

32.00%

0.21636236

0.2047

Trade off

33.00%

0.21377831

0.203875

Trade off

34.00%

0.21124925

0.20305

Trade off

35.00%

0.20877718

0.202225

...

0.202225
Trade off

36.00%

0.20636414

0.2014

Trade off

37.00%

0.20401223

0.200575

Trade off

38.00%

0.20172359

0.19975

Trade off

39.00%

0.19950039

0.198925

Trade off

40.00%

0.19734485

0.1981

Trade off

41.00%

0.19525921

0.197275

Trade off

42.00%

0.19324573

0.19645

Trade off

43.00%

0.19130669

0.195625

Trade off

44.00%

0.18944437

0.1948

Trade off

45.00%

0.18766106

0.193975

Trade off

46.00%

0.18595904

0.19315

Trade off

47.00%

0.18434055

0.192325

Trade off

48.00%

0.18280781

0.1915

Trade off

49.00%

0.18136299

0.190675

Trade off

50.00%

0.18000823

0.18985

Trade off

51.00%

0.17874555

0.189025

Trade off

52.00%

0.17757693

0.1882

Trade off

53.00%

0.17650423

0.187375

Trade off

54.00%

0.17552921

0.18655

Trade off

55.00%

0.17465351

0.185725

Trade off

56.00%

0.17387864

0.1849

Trade off

57.00%

0.17320593

0.184075

Trade off

58.00%

0.17263659

0.18325

Trade off

59.00%

0.17217164

0.182425

Trade off

60.00%

0.17181194

0.1816

Trade off

61.00%

0.17155813

0.180775

Trade off

62.00%

0.17141069

0.17995

Trade off

63.00%

0.17136991

0.179125

Trade off

64.00%

0.17143584

0.1783

Trade off

65.00%

0.17160838

0.177475

Trade off

66.00%

0.17188719

0.17665

Trade off

67.00%

0.17227176

0.175825

Trade off

68.00%

0.1727614

0.175

Trade off

69.00%

0.17335519

0.174175

Trade off

70.00%

0.17405209

0.17335

Trade off

71.00%

0.17485086

0.172525

Trade off

72.00%

0.1757501

0.1717

Trade off

73.00%

0.17674829

0.170875

Trade off

74.00%

0.17784376

0.17005

Trade off

75.00%

0.17903472

0.169225

Trade off

76.00%

0.18031928

0.1684

Trade off

77.00%

0.18169545

0.167575

Trade off

78.00%

0.18316118

0.16675

Trade off

79.00%

0.18471433

0.165925

Trade off

80.00%

0.18635271

0.1651

Trade off

81.00%

0.18807409

0.164275

Trade off

82.00%

0.18987622

0.16345

Trade off

83.00%

0.19175683

0.162625

Trade off

84.00%

0.19371362

0.1618

Trade off

85.00%

0.19574431

0.160975

Trade off

86.00%

0.19784663

0.16015

Trade off

87.00%

0.20001831

0.159325

Trade off

88.00%

0.20225713

0.1585

Trade off

89.00%

0.20456087

0.157675

Trade off

90.00%

0.20692738

0.15685

Trade off

91.00%

0.20935452

0.156025

Trade off

92.00%

0.2118402

0.1552

Trade off

93.00%

0.2143824

0.154375

Trade off

94.00%

0.21697912

0.15355

Trade off

95.00%

0.21962843

0.152725

Trade off

96.00%

0.22232846

0.1519

Trade off

97.00%

0.22507737

0.151075

Trade off

98.00%

0.22787339

0.15025

Trade off

99.00%

0.23071482

0.149425

Trade off

0.2336

0.1486

Optimal Combination of the Risk Assets

54.01%

0.1755236

0.186545

0.2166193

2.

The paper uses the…

Sources Used in Documents:

Reference

Graham, J. Smart, S.B. & Megisson, W.L. (2010). Corporate Finance: Linking Theory to What Companies Do, 3rd Edition. Cengage Brain.

Fox, J. (2009). Myth of the Rational Market. Harper Business.

Kieso, D.E., Weygandt, J.J. & Warfield, T.D. (2007). Intermediate Accounting (12th ed.). New York: John Wiley & Sons.


Cite this Document:

"Investment Portfolio" (2014, July 05) Retrieved April 26, 2024, from
https://www.paperdue.com/essay/investment-portfolio-190307

"Investment Portfolio" 05 July 2014. Web.26 April. 2024. <
https://www.paperdue.com/essay/investment-portfolio-190307>

"Investment Portfolio", 05 July 2014, Accessed.26 April. 2024,
https://www.paperdue.com/essay/investment-portfolio-190307

Related Documents
Investment Portfolio
PAGES 6 WORDS 2068

Investment and Portfolio Analysis With the increasing economic downturn in the economy, the need of investment has increased considerable. The potential investors generally foregoes their current leisure and earnings and investment their earnings and expect to earn benefits in future for the same. For analyzing the investment, we have taken into consideration a hypothetical investor who has $50,000 which needs to be invested in different, in different assets. Investment is one of the

Investment Portfolio For this client, the total investment is $100,000. This is not the sum total of the investor's assets, but it will be invested in a diversified portfolio. It is assumed that the time horizon is medium-to-long-term. The investment portfolio will be built using the top-down approach, whereby asset classes are first determined and then the individual securities within those classes are determined subsequent. The first step in this process

A common thread through these fifteen stocks is that they not only represent diversification as a group, but most of the companies chosen also have a range diversification within the company's operations. The companies are spread around the world, and include a number of sectors. For example, within technology the portfolio has access to the health care sector through Cerner; within ADRs there is exposure to the Internet, chemicals and

However, it will depend upon the impact that rising prices will have on consumer spending and corporate balance sheets. Geopolitical tensions could have an impact upon the price of commodities most notably: oil and gold. As various uncertainties around the globe, could have an impact upon the availability of oil supplies, which will cause prices to increase. A good example of this can be seen with the different protests that

Investment Portfolio The beta coefficient for Google, Inc. is 1.03 using the Excel Slope function (Christensen). Using the S&P 500 as a benchmark, this beta coefficient has a higher risk than the market (Christensen, How to Interpret a Beta Coefficient). With this stock included in a portfolio, it would need to be diversified with less riskier investments in order to balance the overall portfolio risk and return on investment aspects of

Where, this strategy will help them to mirror the underlying amounts of volatility. Once this occurs, is when the risks have been reduced dramatically. As result, such a strategy can be used by international investors, to reduce their overall amounts of risk, while increasing their profits. Bibliography Artio International Equity. (2010). Retrieved June 19, 2010 from Yahoo Finance website: http://finance.yahoo.com/q/hl?s=JETAX+Holdings Artio International Equity. (2010). Retrieved June 19, 2010 from Yahoo Finance website: