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evablogger [386]
3 years ago
12

Moody Farms just paid a dividend of $2.65 on its stock. The growth rate in dividends is expected to be a constant 3.8 percent pe

r year indefinitely. Investors require a return of 15 percent for the first three years, a return of 13 percent for the next three years, and a return of 11 percent thereafter. What is the current share price? (Do not round intermediate calculations and round your answer to 2 decimal places, e.g., 32.16.)
Business
1 answer:
NISA [10]3 years ago
8 0

Answer:

$34.63.

Explanation:

The Gordon Dividend Discount Model will be used to calculate the current share price. This model helps us to determine how much should we pay for a stock and the analysis is based on dividends, growth rate, and our required rate of return. The model is as follows:

Po = D1 / (1 + r )^1 + D2 / (1 + r )^2 + D3 / (1 + r )^3 + D4 / (1 + r )^4 + D5 / (1 + r )^5 + D6 / (1 + r )^6 + [(D7 / r - g) / (1 + r)^6]

where

Po = Current market Price

D1 = Dividend Paid * (1 + g)

D2 = D1 (1 + g) ; D3 = D2 (1 + g) ; D4 = D3 (1 + g) ; D5 = D4 (1 + g)  

D6 = D5 (1 + g) ; D7 = D6 (1 + g)

This implies that:

Po = 2.7507 / (1.15)^1 + 2.8552 / (1.15)^2 + 2.9637 / (1.15)^3 + 3.0763 / (1.13)^4 + 3.1932 / (1.13)^5 + 3.3146 / (1.13)^6 + [(3.4405/.11 - .038) / (1.13)^6]

⇒ Current Market Price = $34.63.

Note: Figures are rounded up-to 4 decimal points. A difference of up-to $2 would not affect your scores as far as the methodology is correct.

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Answer:

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Explanation:

Given that,

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Answer:

The correct answer is c) neural network .

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Harlamova29_29 [7]

Answer:

a. We have:

MSE: 63.03

The forecast for week 7: 15.33

b. We have:

MSE: 47.49

The forecast for week 7: 16.35

c. The exponential smoothing forecast using = 0.2. appears to provide the better forecast based on MSE.

Explanation:

a. Develop the three-week moving average forecasts for this time series. Compute MSE and a forecast for week 7 (to 2 decimals if necessary).

Note: See Part a of the attached excel file for the Calculations of Forecast, Error, and Error^2.

From the attached excel file, we can have:

MSE = Mean squared error = Total of Error^2 / Number of observation under the Error^2 = 252.11 / 4 = 63.03

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b. Use = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7.

Note: See Part b of the attached excel file for the Calculations of Forecast, Error, and Error^2.

From the attached excel file, we can have:

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Note that under exponential smoothing, forecast for week 2 has to be the Time Series Value for week 1.

b. Compare the three-week moving average forecast with the exponential smoothing forecast using = 0.2. Which appears to provide the better forecast based on MSE?

Since 47.49 MSE of the exponential smoothing forecast using = 0.2 is less than 63.03 MSE of the three-week moving average forecast, it implies that  the exponential smoothing forecast using = 0.2. appears to provide the better forecast based on MSE.

Download xlsx
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