Answer:
If disposable income increases by $5 billion and consumer spending ... spending by $100 billion and the marginal propensity to consume is 0.8. ... Suppose investment spending increases by $50 billion, and as a result real GDP increases by $200 billion. ... deliberate changes in taxation and/or government spending.
Explanation:
Answer:
the firm's cost of equity is 17.808%
Explanation:
A firm's cost of equity is the return expected by holders of Common Stock.
The Data available allows us to use the Capital Asset Pricing Model (CAPM) to determine the cost of Equity.
Cost of Equity = Risk Free Rate + Company`s Beta × Expected Return on Market Portfolio
= 2.8%+1.34×11.2%
= 17.808%
Answer:
Cost of equity = 14.1%
Explanation:
The capital asset pricing model is a risk-based model. Here, the return on equity is dependent on the level of reaction of the the equity to changes in the return on a market portfolio. These changes are captured as systematic risk. The magnitude by which a stock is affected by systematic risk is measured by beta.
Under CAPM, Ke= Rf + β(Rm-Rf)
Rf-risk-free rate (treasury bill rate), β= Beta, Rm= Return on market.
Rf- 2.8% , Rm- 11.2%, β-1.34
Using this model,
Ke= 2.8% + 1.34×(11.2%-2.8%)
= 14.1%
Answer:
None of the above
Explanation:
NONE of of the following assumptions is likely to be met in the real world.
Assumptions which include
A) All labor has zero costs of mobility. B) Demand for labor is identical in every labor market. C) All labor is homogeneous. D) Non pecuniary factors in each job are not the same are NOT likely to be met in the real word
Answer: The answer is ($76,280,000)
Explanation:
POAR = Budgeted Overhead / Budgeted labour cost
Total direct labour cost = hours worked × wage rate per hour
Hours worked = 2,500 hours , wage rate per hour = $20
= 2,500 × 20
= $50,000
Budgeted Overhead = $1,500,000, Budgeted labour cost = $50,000
= 1,500,000 / 50,000
= 30 × actual activity
Actual activity direct labour = 618,000 +577,000 + 310,000 + 730,000 + 328,000 + 31,000 = 2,596,000
Overhead absorbed = 30 × 2,596,000
= 77,880,000
Actual Overhead = 1,600,000
Actual Overhead - Overhead absorbed
= 1,600,000 - 77,880,000
= ($76,280,000)
Since the overhead absorbed is greater than actual overhead, this is known as over absorption.
Answer:
Pension liability at December 31, 2017 is ($229,700)
Explanation:
Projected benefit obligation $561,600
Less: Plan assets $331,900
Pension liability at December 31, 2017 -$229,700
B)Using exponential smoothing with ? = 0.20, if the exponential forecast for week 3 was estimated as the average of the first two weeks [(315 + 415)/2 = 365], what would you forecast week 5 to be? (Round your answer to the nearest whole number.)
Week 1 315
Week 2 415
Week 3 615
Week 4 715
Answer: A. 582 ; B. 475
Explanation:
A. Three week moving average
three moving average requires us to take the last three weeks forecast in calculating the forecast for following week, to calculate week 5 forecast we will start from week 2 to week 4.
Week 2 = 415
Week 3 = 615
Week 4 = 715
Three week moving average = (WEEK 2 + Week 3 + Week 4)/N
Three week moving average = (415 + 615 + 715)/3
Three week moving average = 1745/3 = 581.6667 = 582
using three week moving average the forecast for week 5 is 582
B.Exponential smoothing
Exponential smoothing forecast for week 3 is 365, to calculate the forecast of week 5 we need to find a forecast for week 4 first using exponential smoothing
S = smoothing Factor = 0.2
D = most recent forecast (week 3) = 615
F = most recent forecast under exponential smoothing = 365
Forecast(week 4) = (D × S) + (F × (1 - S))
Forecast(week 4) = (615 × 0.20) + (365 × (1 - 0.20))
Forecast(week 4) = 123 + 292 = 415
The forecast for week 4 using exponential smoothing is 415
Week 5 forecast calculation
S = smoothing Factor = 0.2
D = most recent forecast (week 4) = 715
F = most recent forecast under exponential smoothing = 415
Forecast(week 5) = (D × S) + (F × (1 - S))
Forecast(week 5) = (715 × 0.20) + (415 - (1 - 0.20))
Forecast(week 5) = 143 + 332= 475
forecast for week 5 is 475
The forecast for the next week using a three-week moving average would be 448 items. Using exponential smoothing with a smoothing constant of 0.20, the forecast for week 5 would be 435 items.
To answer both parts of your question:
A) The three-week moving average is calculated by taking the average of the past 3 weeks, so for week 4, it would be the average of weeks 1, 2, and 3: [(315 + 415 + 615)/3 = 448]. Therefore, the forecast for week 4 using a three-week moving average would be 448 items, rounded to the nearest whole number.
B)Exponential smoothing requires the use of a smoothing constant, in this case, ? = 0.20, and the previous actual and forecasted values. Using the given exponential forecast for week 3 of 365, the forecasted demand for week 5 would be calculated as follows: Forecast = ? * Actual_previous + (1-?) * Forecast_previous = 0.20 * 715 + (1-0.20) * 365 = 435. Therefore, your week 5 forecast would be 435 items, rounded to the nearest whole number.
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the law in pursuit of free music. In reality hardcore fans "are extremely enthusiastic about paid-for services, as long as they are suitably compelling, he said.
People who download unlicensed music tend not buy legal digital music.
A True
B False
C Cannot Say
The answer to the prompt that "People who download unlicensed music tend not buy legal digital music" is False.
Judging from the passage above, the answer to this prompt is false.
The passage makes it clear that those who regularly downloaded unlicensed music also "spent an average of £5.52 a month on legal digital music."
This shows that this crop of individuals are willing to purchase legal digital music.
Learn more about unlicensed music here: