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dmitriy555 [2]
3 years ago
7

The Short-Line Railroad is considering a $100,000 investment in either of two companies. The cash flows are as follows: Year Ele

ctric Co. Water Works 1 $ 70,000 $ 15,000 2 15,000 15,000 3 15,000 70,000 4 – 10 10,000 10,000 a. Compute the payback period for both companies. (Round your answers to 1 decimal place.) b. Which of the investments is superior from the information provided? Electric Co. Water Works
Business
1 answer:
Alex Ar [27]3 years ago
8 0

Answer:

a. 3 years and 3 years

b. either company can be selected

Explanation:

a. In the payback, we analyze how many years the invested amount is recovered. The computation is shown below:

= Initial investment ÷ Net cash flow

For Electric Co.

In year 0 = $100,000

In year 1 = $70,000

In year 2 = $15,000

In year 3 = $15,000

In year 4 to 10 = $10,000

If we sum the first 3 year cash inflows than it would be $100,000 which is equal to the initial investment

So, the payback period equal to

= $100,000 ÷ $100,000 = 3 years

In 3 years, the invested amount is recovered.

For Water Works

In year 0 = $100,000

In year 1 = $15,000

In year 2 = $15,000

In year 3 = $70,000

In year 4 to 10 = $10,000

If we sum the first 3 year cash inflows than it would be $100,000 which is equal to the initial investment

So, the payback period equal to

= $100,000 ÷ $100,000 = 3 years

In 3 years, the invested amount is recovered.

b. Since both the companies has same payback period so either company can be selected

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Answer:

$10,140,000

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Revenue can be consolidated of parent and subsidiary as follow:

First

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Total Sales = $10,000,000 + $200,000 = $10,200,000

Now deduct the sale made to each other because sales mad within the group is not recorded for consolidation purposes and it is not a sale for a group it is an internal group transfer.

Consolidated Sales = Total sales - Internal Sales

Consolidated Sales = $10,200,000 - $60,000 = $10,140,000

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Answer:

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Here are returns and standard deviations for four investments. Return (%) Standard Deviation (%) Treasury bills 4.5 0 Stock P 8.
Jlenok [28]

Answer:

a. Standard deviation of the portfolio = 7.00%

b(i) Standard deviation of the portfolio = 30.00%

b(ii) Standard deviation of the portfolio = 4.00%

b(iii) Standard deviation of the portfolio = 21.40%

Explanation:

Note: This question is not complete. The complete question is therefore provided before answering the question as follows:

Here are returns and standard deviations for four investments.

                                  Return (%)           Standard Deviation (%)

Treasury bills                4.5                                    0

Stock P                          8.0                                   14

Stock Q                        17.0                                  34

Stock R                       21.5                                    26

Calculate the standard deviations of the following portfolios.

a. 50% in Treasury bills, 50% in stock P. (Enter your answer as a percent rounded to 2 decimal places.)

b. 50% each in Q and R, assuming the shares have:

i. perfect positive correlation

ii. perfect negative correlation

iii. no correlation

(Do not round intermediate calculations. Enter your answers as a percent rounded to 2 decimal places.)

The explanation to the answer is now provided as follows:

a. Calculate the standard deviations of 50% in Treasury bills, 50% in stock P. (Enter your answer as a percent rounded to 2 decimal places.)

Since there is no correlation between Treasury bills and stocks, it therefore implies that the correlation coefficient between the Treasury bills and stock P is zero.

The standard deviation between the Treasury bills and stock P can be calculated by first estimating the variance of their returns using the following formula:

Portfolio return variance = (WT^2 * SDT^2) + (WP^2 * SDP^2) + (2 * WT * SDT * WP * SDP * CFtp) ......................... (1)

Where;

WT = Weight of Stock Treasury bills = 50%

WP = Weight of Stock P = 50%

SDT = Standard deviation of Treasury bills = 0

SDP = Standard deviation of stock P = 14%

CFtp = The correlation coefficient between Treasury bills and stock P = 0.45

Substituting all the values into equation (1), we have:

Portfolio return variance = (50%^2 * 0^2) + (50%^2 * 14%^2) + (2 * 50% * 0 * 50% * 14% * 0) = 0.49%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (0.49%)^(1/2) = (0.49)^0.5 = 7.00%

b. 50% each in Q and R

To calculated the standard deviation 50% each in Q and R, we first estimate the variance using the following formula:

Portfolio return variance = (WQ^2 * SDQ^2) + (WR^2 * SDR^2) + (2 * WQ * SDQ * WR * SDR * CFqr) ......................... (2)

Where;

WQ = Weight of Stock Q = 50%

WR = Weight of Stock R = 50%

SDQ = Standard deviation of stock Q = 34%

SDR = Standard deviation of stock R = 26%

b(i). assuming the shares have perfect positive correlation

This implies that:

CFqr = The correlation coefficient between stocks Q and = 1

Substituting all the values into equation (2), we have:

Portfolio return variance = (50%^2 * 34%^2) + (50%^2 * 26%^2) + (2 * 50% * 34% * 50% * 26% * 1) = 9.00%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (9.00%)^(1/2) = (9.00%)^0.5 = 30.00%

b(ii). assuming the shares have perfect negative correlation

This implies that:

CFqr = The correlation coefficient between stocks Q and = -1

Substituting all the values into equation (2), we have:

Portfolio return variance = (50%^2 * 34%^2) + (50%^2 * 26%^2) + (2 * 50% * 34% * 50% * 26% * (-1)) = 0.16%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (0.16%)^(1/2) = (0.16%)^0.5 = 4.00%

b(iii). assuming the shares have no correlation

This implies that:

CFqr = The correlation coefficient between stocks Q and = 0

Substituting all the values into equation (2), we have:

Portfolio return variance = (50%^2 * 34%^2) + (50%^2 * 26%^2) + (2 * 50% * 34% * 50% * 26% * 0) = 4.58%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (4.58%)^(1/2) = (4.58%)^0.5 = 21.40%

8 0
3 years ago
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