The rates of return play a key role in determining the value of the stock. The required rate of return (RRR) is a component among the metrics and its calculation is used in corporate finance and equity valuation. The required rate of return is the minimum return that an investor looks for, given the entire options that are available and the capital structure of the firm. Moreover, in recent years, there are three basic models through which RRR is calculated. All three methods have unique features for the company. Hence, in this paper we will discuss, which of the three models (dividend growth, CAPM, or APT) is the best one for estimating the required rate of return (or discount rate) for the company. Based on the analysis and findings, one method will be recommended to the board of directors for the company.
This paper will we do Financial Modeling of efficient portfolio and possible ways to reduce risk in the portfolio.
Discussion
Answer 1
Efficient Portfolios
In order to identify a portfolio that gives an expected return of at least 15% whilst minimizes the level of risk. It is necessary to see the probability of each investment in the assets.
Amount to be Invested = £100,000,000
110,000,000 44,000,000 66,000,000
Sr
Share Names
No of Shares
Accepted shares Price of shares
Weight of share in total investmnet
Amount
Beta
Return on Investment
Return on Portfolio
1
A
45000
70
0.029126214
3150000
0.45
25%
0.007281553
2
B
30000
65
0.019417476
1950000
1.42
8%
0.001553398
3
C
30000
90
0.019417476
2700000
0.57
10%
0.001941748
4
D
40000
50
0.025889968
2000000
1.58
3%
0.000776699
5
E
400000
16.36
0.258899676
6544000
1.5
15%
0.038834951
6
F
500000
30
0.323624595
15000000
1.71
12%
0.038834951
7
G
500000
30
0.323624595
15000000
1.6
16%
0.051779935
8
Euro bond
40000000
5
9
10
Total
1545000
1
86,344,000
14.10%
Amount to be Invested = £100,000,000
110,000,000 44,000,000 66,000,000
Sr
Share Names
No of Shares
Accepted shares Price of shares
Weight of share in total investmnet
Amount
Beta
Return on Investment
Return on Portfolio
1
A
45000
70
0.006823351
3150000
0.45
25%
0.001705838
2
B
30000
65
0.004548901
1950000
1.42
8%
0.000363912
3
C
30000
90
0.004548901
2700000
0.57
10%
0.00045489
4
D
40000
50
0.006065201
2000000
1.58
3%
0.000181956
5
E
400000
16.36
0.060652009
6544000
1.5
15%
0.009097801
6
F
500000
30
0.075815011
15000000
1.71
12%
0.009097801
7
G
5550000
30
0.841546626
166500000
1.6
16%
0.13464746
8
40000000
5
9
Euro Bond
10
Total
6595000
1
237,844,000
15.55%
Explanation
Mean variance portfolio is frequently call portfolio optimization. This word is concern with the expected return or mean of the investment and the variance determine the risk related with the portfolio. This numerical problem can be originated in various ways but the main problems can be review as
Minimize risk for a given level of return
Maximize return for a given level of risk
Maximize a utility function that balances between the risk & return through some risk aversion ratio.
These problems possibly will encompass linear or nonlinear constraints, along with equality an inequality constraints. These three problems basically precisely scientifically equivalent and are solve through mean-variance (MV) efficient. In the risk and return graph the efficient points called Efficient Frontier. The above mention problems can be figured out proportional to the present portfolio or standard. Purchasing or developing a new portfolio involves transaction costs; moreover re-balancing portfolio may also involve transaction cost that might constitute a substantial sum to the investor. Few investors optimization schedule can cover costs of transactions and however, they can extensively impress the composition of the portfolio (Fama, Fisher, 1969, pp. 1).
Efficient Portfolios
portfolio dominates another portfolio if the expected return µ is greater than or equal to that of other portfolios, and the standard deviation s ("square root of variance ") of its value is less than or equal to that of other portfolios. It is possible that this is the same ...