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Paladinen [302]
3 years ago
10

in order to compare the price of gasoline in the 1970s with the price in any other year, you have to adjust for

Business
1 answer:
jok3333 [9.3K]3 years ago
7 0

Answer:

Overall Inflation

Explanation:

In order to compare prices of any good at two different years, you should always adjust for overall inflation. Inflation is the overall increase in value of goods over a period, which means that a unit of currency buys less goods at the current year than it did at the previous year.

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In the state of Florida if you're convicted of reckless driving you'll be assessed how many points
Greeley [361]
In the state of FL you'll be assessed 4 points.
6 0
3 years ago
Read 2 more answers
Since 2008, Ben has owned all 100 outstanding shares of N and M Corporation’s stock. Ben’s basis for the stock is $50,000. In 20
FromTheMoon [43]

Answer:

A. $75,000 dividend

Explanation:

This is not  a capital gain as it do not come from the change in the value of the previously owned shares this are new shares.

The shares which N and M provide in favor to Ben are an stock dividend thus, the tax treatment should be of dividends as well.

6 0
3 years ago
Suppose that the S&P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%. a.
Aleksandr [31]

Answer:

a. The answers are as follows:

(i) Expected of Return of Portfolio = 4%; and Beta of Portfolio = 0

(ii) Expected of Return of Portfolio = 6.25%; and Beta of Portfolio = 0.25

(iii) Expected of Return of Portfolio = 8.50%; and Beta of Portfolio = 0.50

(iv) Expected of Return of Portfolio = 10.75%; and Beta of Portfolio = 0.75

(v) Expected of Return of Portfolio = 13%; and Beta of Portfolio = 1.0

b. Change in expected return = 9% increase

Explanation:

Note: This question is not complete as part b of it is omitted. The complete question is therefore provided before answering the question as follows:

Suppose that the S&P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%.

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

The explanation to the answers are now provided as follows:

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

To calculate these, we use the following formula:

Expected of Return of Portfolio = (WS&P * RS&P) + (WT * RT) ………… (1)

Beta of Portfolio = (WS&P * BS&P) + (WT * BT) ………………..………………. (2)

Where;

WS&P = Weight of S&P = (1) – (1v)

RS&P = Return of S&P = 13%, or 0.13

WT = Weight of T-bills = 1 – WS&P

RT = Return of T-bills = 4%, or 0.04

BS&P = 1.0

BT = 0

After substituting the values into equation (1) & (2), we therefore have:

(i) Expected return and beta of portfolios with weights in the S&P 500 of 0 (i.e. WS&P = 0)

Using equation (1), we have:

Expected of Return of Portfolio = (0 * 0.13) + ((1 - 0) * 0.04) = 0.04, or 4%

Using equation (2), we have:

Beta of Portfolio = (0 * 1.0) + ((1 - 0) * 0) = 0

(ii) Expected return and beta of portfolios with weights in the S&P 500 of 0.25 (i.e. WS&P = 0.25)

Using equation (1), we have:

Expected of Return of Portfolio = (0.25 * 0.13) + ((1 - 0.25) * 0.04) = 0.0625, or 6.25%

Using equation (2), we have:

Beta of Portfolio = (0.25 * 1.0) + ((1 - 0.25) * 0) = 0.25

(iii) Expected return and beta of portfolios with weights in the S&P 500 of 0.50 (i.e. WS&P = 0.50)

Using equation (1), we have:

Expected of Return of Portfolio = (0.50 * 0.13) + ((1 - 0.50) * 0.04) = 0.0850, or 8.50%

Using equation (2), we have:

Beta of Portfolio = (0.50 * 1.0) + ((1 - 0.50) * 0) = 0.50

(iv) Expected return and beta of portfolios with weights in the S&P 500 of 0.75 (i.e. WS&P = 0.75)

Using equation (1), we have:

Expected of Return of Portfolio = (0.75 * 0.13) + ((1 - 0.75) * 0.04) = 0.1075, or 10.75%

Using equation (2), we have:

Beta of Portfolio = (0.75 * 1.0) + ((1 - 0.75) * 0) = 0.75

(v) Expected return and beta of portfolios with weights in the S&P 500 of 1.0 (i.e. WS&P = 1.0)

Using equation (1), we have:

Expected of Return of Portfolio = (1.0 * 0.13) + ((1 – 1.0) * 0.04) = 0.13, or 13%

Using equation (2), we have:

Beta of Portfolio = (1.0 * 1.0) + (1 – 1.0) * 0) = 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

There expected return will increase by the percentage of the difference between Expected Return and Risk free rate. That is;

Change in expected return = Expected Return - Risk free rate = 13% - 4% = 9% increase

4 0
3 years ago
Smythe Co. makes furniture. The following data are taken from its production plans for the year.
Pepsi [2]

Answer:

ii

Explanation:

Number of pounds remain same whether the expected production id 207,000 or 21,000 units. Direct labor hours vary with expected units of production. So, assignement based on direct labor hours is better for assigning costs to eact product

5 0
3 years ago
Barrington Bears has developed the following sales forecasts for the next few months. January 500, February 600, March 720, Apri
Oduvanchick [21]

Answer:

The correct answer is C.

Explanation:

Giving the following information:

Barrington Bears has developed the following sales forecasts for January 500 units.

BB has 80 bears on hand on Dec. 31. The normal ending inventory policy is to hold 20% of next month’s sales.

Direct labor is paid $18 per hour. Each bear takes 40 minutes to hand-finish. Variable overheads total $21 per direct labor hour. Fixed overheads amount to $25,000 per month.

First, we need to calculate the production for January.

Sales= 500 units

Ending inventory= (600*0.2)= 120 units

Beginning inventory= 80 (-)

Total= 540 units

Conversion costs= direct labor + manufacturing overhead

Direct labor= [(40/60)*540]*$18= $6,480

Variable overhead= 21*360 hours= $7,560

Fixed overhead= $25,000

Total conversion costs= $39,040

5 0
3 years ago
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