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3 years ago

At December 31, Hawke Company reports the following results for its calendar year.

Business

1 answer:

kodGreya [7K]3 years ago

3 0

The adjusting entries for acknowledging the bad debts would be:

a). Bad Debts Expense $50 640

Allowance for Doubtful Accounts $50 640

b). Bad Debts Expense $48089.1

Allowance for Doubtful Accounts $48089.1

Bad debts:

Bad debts are described as debts that are unable to be recovered from their respective debtors.

The key reasons for this could be:

The debtor is bankrupt and cannot pay the amount.
The debtor flees away and thus, can't be compelled to pay.

The given amounts are obtained as follows:

a). Given that,

Bad debts is 1.5% of credit sales.

Credit Sales = $3,376,000

Bad debts = 1.5% of $3,376,000

∵ Bad debts = 1.5/100 * $3,376,000

= $50 640

b). Given that,

Bad debts = 1 % of total sales.

Total Sales = Credit sale + Cash sale

= $3,376,000 + $1,432,910

= $4808910

Bad debts = 1% of 4808910

∵ Bad debts = 1/100 * $4808910

= $48089.1

Learn more about 'Journal entries' here:

brainly.com/question/17439126

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3 years ago

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3 years ago

Suppose you are currently invested 100% in U.S. stocks and you CANNOT short: a.Find the portfolio that maximizes expected return

Volgvan

Answer:

Part a: The portfolio which maximizes the expected return is in the attached file.

Part b:The portfolio's expected rate of return is 11.20% and the weight is 100% for US only.

Explanation:

As the question is incomplete and the data is not available, thus the complete question is found as attached with the solution.

The Sharpe rate is given as

$S_a=\frac{E_a-E_r}{\sigma}$

Where

E_a is the estimated rate of return for a value
E_r is the risk free rate of return
σ is the standard deviation of the investment.

The portfolio variance is given as

$\sigma^2_{portfolio}=\sum_{i}^{n}{\sigma_i^2w_i^2}+\sum_{i}^{n(n-1)/2}{cv_i}$

Where

σ is the standard deviation of the investment.
w is the weighted value of the investment
cv is the covariance term

Portfolio standard deviation is given as

$\sigma_{portfolio}=\sqrt{\sigma^2_{portfolio}}$

Expected rate is given as

$E_{rate of return}=\sum_{i=1}^{n}{E_a_i\times w_i}$

Now the Sharp value is calculated as above.

Now the values as given in the excel sheet are added in the attached excel sheet, following formulas are used to calculate various values

Sharpe ratio is calculated using =(B6-J3)/C6

Portfolio variance is calculated using (=B13^2*C6^2+B14^2*C7^2+B15^2*C8^2+B16^2*C9^2+2*B13*B14*C6*C7*D7+2*B13*B15*C6*C8*D8+2*B13*B16*C6*C9*D9+2*B14*B15*C7*C8*E8+2*B14*B16*C7*C9*E9+2*B15*B16*C8*C9*F9)

Portfolio standard deviation is SQRT(Variance)

Expected return is calculated using =B13*B6+B14*B7+B15*B8+B16*B9

Sharpe is calculated using =(B23-$J$3)/B22

Part a:

The portfolio which maximizes the expected return is in the attached file.

Part b:

The portfolio's expected rate of return is 11.20% and the weight is 100% for US only.

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