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OLEGan [10]
3 years ago
7

Your investment portfolio consists of ​$15 comma 000 invested in only one stocklong dashAmazon. Suppose the​ risk-free rate is 5

%​, Amazon stock has an expected return of 12 % and a volatility of 40 %​, and the market portfolio has an expected return of 10 % and a volatility of 18 %. Under the CAPM​ assumptions, a. What alternative investment has the lowest possible volatility while having the same expected return as​ Amazon? What is the volatility of this​ investment? b. What investment has the highest possible expected return while having the same volatility as​ Amazon? What is the expected return of this​ investment? Hint​: Make sure to round all intermediate calculations to at least five decimal places.​
Business
1 answer:
Kay [80]3 years ago
8 0

Answer:

a)

The CAPM hypothesis states that the effective market is utilized place in the market and has the maximum eminent expected return of any assortment for a given randomness and the smallest variability for a assumed expected return. By allotment utilized place in the market assortment, you can achieve a standard return,

Thus,  

Expected Rate of Return = [Risk free Rate + Beta × (Market Risk - Risk free Rate)]

Beta = [Expected Rate of Return – Risk Free Rate] / [Market Risk - Risk free Rate]

Beta = [12% - 5%] / [10% -5%]

Beta = 7/5

Beta =1.4

The final possible instability while taking the same estimated rate of return as Amazon is $21,000 ($15,000 × 1.4) which indicate that it borrows $6,000 ($21,000 - $15,000). Now the -$6,000 is specified as strength benefit. So the volatility of the asset is,

Volatility = [Volatility of Asset x Beta]

Volatility = [18% × 1.4]

Volatility = 0.252 or 25.20%

Therefore the volatility is less than the volatility of Amazon.

b)

The market share has a instability of "n". The corresponding instability of Amazon will be 2.22 (40%/18%). So the assortment with the most notable predictable give back that has a faint variability from Amazon is $33,333.33 ($15,000x 2.22) which will be the market assortment and it also uses $18,333.33 ($33,333.33 - $15,000). Here the -$18,333.33 is specified as strength asset. So the return is,

Expected Return = [Risk free Rate + Beta × (Market Risk – Risk free Rate)]

Expected Return = [5%+ 122 × (10% - 5%)]

Expected Return = [5%+ 122 × 5%]

Expected Return = [0.05+0.111111]

Expected Return = 0.161111 or1 6.11%

Therefore the volatility is higher than the expected return of Amazon.

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Answer:

overhead rate $4 per machien hour

applied overhead 1,560,000

The overhead was underapplied for 15,000

entry to adjust against COGS

Cost of Goods of sold   15,000 debit

            Factory overhead      15,000 credit

Explanation:

\frac{Cost\: Of \:Manufacturing \:Overhead}{Cost \:Driver}= Overhead \:Rate

we divide the expected overhead over the total amount of budgeted machine hours to determinate the overhead rate:

1,600,000 / 400,000 =  $4 per machine hours

Actual machine hours 390,0000

applied overhead:

actual cost driver x  rate per driver

390,000 x $4 = 1,560.000‬ applied overhead

Actual overhead 1,575,000

As aplies is lower, we should adjust for 15,000 difference

5 0
3 years ago
Leonardo, who is married but files separately, earns $90,000 of taxable income. He also has $8,750 in city of Tulsa bonds. His w
UkoKoshka [18]

Answer: 17.56%

Explanation:

Given that,

Leonardo taxable income = $90,000

Tulsa bonds = $8,750

Theresa taxable income = $50,000

Computation of Leonardo's Tax:

According to the tax rate schedule,

Total Tax = Tax + 24% of taxable income over $82,500

                = $14,089.50 + 24% × $7,500

                = $14,089.50 + $1,800

                = $15,889.5

Computation of Theresa's Tax:

According to the tax rate schedule,

Total Tax = Tax + 22% of taxable income over $38,700

                = $4453.50 + 22% × $11,300

                = $4453.50 + $2,486

                = $6939.5

Total tax on Leonardo's income and Theresa's income:

= $15,889.5 + $6939.5

= $22,829

Effective tax rate = \frac{Total\ Tax}{Total\ Taxable\ Income}\times100

                              = \frac{22,829}{130,000}\times100

                              = 17.56%

5 0
3 years ago
Sales Transactions and T Accounts Using T accounts for Cash, Accounts Receivable, Sales Tax Payable, Sales, Sales Returns and Al
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Answer:

Payment id received for merchanise sold on account

4 0
3 years ago
A partial list of Waterways' accounts and their balances for the month of November 2016 follows:
lesya [120]

Answer:

Total current assets = $697,750

Explanation:

The partial balance sheet is as follows:

Waterways Corporation

Balance Sheet (Partial)

For the month of November 2016

<u>Details                                                                $                         $          </u>

<u>Current Assets</u>

Cash                                                           260,000

Accounts Receivable                                 275,000

Finished Goods Inventory, November       68,800

Raw Materials Inventory, November          52,700

Prepaid Expenses                                    <u>    41,250  </u>

Total current assets                                                              697,750

Note:

Cash is the most liquid of assets.

Accounts receivable which should be collected within 30 to 60 days are less liquid than cash, but more liquid than inventory.

Finished Goods Inventory which is expected to be sold and converted to cash within one year, and Raw Materials Inventory which is expected to be converted to finished good within one year are more liquid than Prepaid expense.

Therefore, the least liquid among current assets’ item above is the Prepaid Expense as it is cash paid for services not yet received..

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2 years ago
A student organization is developing promotions for its clothing fundraiser. Email blasts across campus will be part of the camp
Masja [62]

Answer: Logistic regression

Explanation:

The type of model that the student group can utilize to analyze which features are important for explaining whether someone opens a promotional email is the logistic regression.

Logistic regression is the regression analysis that's used to conduct in a case whereby the dependent variable is binary.

With regards to the question, the logistic regression can provide the best model which will be used to forecast the most important features for the opening of the promotional e-mail.

8 0
2 years ago
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