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eduard
3 years ago
12

Suppose that the equation for the SML is Y = 0.05 + 0.07X, where Y is the average expected rate of return, 0.05 is the vertical

intercept, 0.07 is the slope, and X is the risk level as measured by beta.What is the risk free interest rate for this SML?What is the average expected rate of return at a beta of 1.5?What is the value of beta at an average expected rate of return of 7 percent?
Business
1 answer:
timurjin [86]3 years ago
6 0

Answer:

Risk free interest rate is 5%

Y is 15.5% at a Beta of 1.5

X is 0.29 when Y is 7%

Explanation:

Risk free interest is 0.05 which 5% as given in the equation

The average expected return is given by Y

Y=0.05+0.07X

Since Beta is the same as X, when equals 1.5,Y is calculated thus

Y=0.05+0.07(1.5)

Y=0.05+0.105

Y=0.155

Y=15.5%

The value of Beta at an average return of 7% is computed thus:

7%=0.05+0.07X

where X is the unknown

0.07=0.05+0.07X

0.07-0.05=0.07X

0.02=0.07X

X=0.02/0.07

X=0.29

The scenario  illustrates that the Beta, which is the risk of investment and the Y , the expected average return are positively correlated.

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AP Mather sells a snowboard, EZ slide, that is popular with snowboard enthusiasts. Below is information relating to Mather's pur
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W/A      2,585.75  //  10,549.25

FIFO     2,620     //    10,515

LIFO     2,539    //     10,596

Explanation:

sales: 102 units

Sept. 1 Inventory         12 units $100  $  1,200

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<u>Sept. 26 Purchases   20 units $105  $  2, 100</u>

Availalbe for sale      127 units           $ 13, 135

Ending Invenotry     127 - 102 = 25 units

COGS will be calcualte as the difference between the cost of goods and the untis at ending inventory.

<u>Weigthed average:</u>

$13,135 / 127 units = 103,42519685 = 103.43 cost per unit

Ending Inventory: 25 units x $ 103.43 = $ 2.585,75

COGS : 13,135 - 2,585.75 = 10,549,25

<u>FIFO</u>

We sold the first, the last are ending invenotry

20 x 105 = 2,100 september 26th

 5 x 104 =    520 september 19th

Ending      2,620

COGS 13,135  -  2,620 = 10,515

<u>LIFO</u>

We sold the last, the first are ending inventory

12 x 100 = 1,200 September   1st

13 x 103  = 1,339 September 12th

Ending      2,539

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3 years ago
A consumer expenditure survey reports the following information on consumer protein spending:201820192020PQPQPQFish$2.001000$2.5
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Answer:

(a) "Cost of living" index decrease by 14.42% between 2018 and 2019.

(b) "Cost of living" index increase by 30.73% between 2018 and 2020.

(c) "cost of living" index increase by 45.05% between 2018 and 2020.

Explanation:

Note: See the attached excel file for the calculations of the "cost of living" index for eash of 2018, 2019, and 2020 using 2018 as the base year.

(a) by how much does a "cost of living" index increase between 2018 and 2019.

Cost of living index in 2018 = 100%

Cost of living index in 2019 = 85.68%

Increase (decrease) in cost of living index = Cost of living index in 2019 - Cost of living index in 2018 = 85.68% - 100% = (14.42%)

Therefore, "cost of living" index decrease by 14.42% between 2018 and 2019.

(b) by how much does a "cost of living" index increase between 2018 and 2020.

Cost of living index in 2018 = 100%

Cost of living index in 2020 = 130.73%

Increase (decrease) in cost of living index = Cost of living index in 2020 - Cost of living index in 2018 = 130.73% - 100% = 30.73%

Therefore, "cost of living" index increase by 30.73% between 2018 and 2020.

(c) by how much does a "cost of living" index increase between 2019 and 2020

Cost of living index in 2019 = 85.68%

Cost of living index in 2020 = 130.73%

Increase (decrease) in cost of living index = Cost of living index in 2020 - Cost of living index in 2018 = 130.73% - 85.68% = 45.05%

Therefore, "cost of living" index increase by 45.05% between 2018 and 2020.

Download xlsx
8 0
3 years ago
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