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Sholpan [36]
3 years ago
5

Star Corp. reported pretax net income from continuing operations of $1,000,000. Tax depreciation exceeded book depreciation by $

100,000. Star Corp. had $50,000 of accrued vacation pay that was not deductible. Star Corp. also claimed $150,000 dividends received deduction (DRD). Assume no valuation allowance.
Required:
a. Compute Star Corp.'s current income tax expense or benefit.
b. Compute Star Corp.'s deferred income tax expense or benefit.
c. Provide two reconciliation of Star Corp.'s total income tax provision with its hypothetical income tax expense of 21% in both dollars and rates.
Business
1 answer:
anastassius [24]3 years ago
5 0

Answer:

Star Corp

A.

Pretax net income from continuing operations = $1,000,000

Add Accrued Vacation $50,000

Deduct additional Tax Depreciation $100,000

Deduct Dividend received deductions $150,000

Net Taxable Income = $800,000

Income Tax expenses = 21% x $800,000 = $168,000

Income tax Expense provision based on book Net income = 21% x $1,000,000 = $210,000

Income tax benefit = $168,000 minus $210,000 = $42,000 (benefit)

B.

Deferred income tax expense =

Income tax Provision = $210,000

Less income tax expense = $168,000

Differed income tax (benefit) = $42,000

C.

Reconciliation

Book Net income = $1,000,000

Tax rate = 21%

Tax expense provision = $210,000...(a)

Pretax net income from continuing operations = $1,000,000

Add Accrued Vacation $50,000

Deduct additional Tax Depreciation $100,000

Deduct Dividend received deductions $150,000

Taxable Net income (adjusted) = $800,000

Tax rate = 21%

Tax expense provision = $168,000......(b)

Difference (a) minus (b) = $42,000 . This is a benefit to the firm (star corp) because its actual tax liability is less than what it provided for because of net deductibles not accounted for in its income statement.

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Andrea and Phillip have been married for two years when they walk into the local State Farm agent's office. They see a banner (w
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Answer:

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Explanation:

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cost per thousand = annual premium / thousands of coverage

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$0.98 = annual premium / 350

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3 years ago
What would be the effect of a decrease in government taxes on a good's supply curve, ceteris paribus?
dimaraw [331]

What would be the effect of a decrease in government taxes on a good's supply curve, ceteris paribus   shift to the right

Supply curve shift:

Changes in production cost and related factors can cause an entire supply curve to shift right or left. This causes a higher or lower quantity to be supplied at a given price.

A supply curve shows how quantity supplied will change as the price rises and falls, assuming ceteris paribus—no other economically relevant factors are changing. If other factors relevant to supply do change, then the entire supply curve will shift. A shift in supply means a change in the quantity supplied at every price.

The ceteris paribus assumption :

A demand curve or a supply curve is a relationship between two, and only two, variables: quantity on the horizontal axis and price on the vertical axis. The assumption behind a demand curve or a supply curve is that no relevant economic factors, other than the product’s price, are changing.

Learn more about supply curve :

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You deposit? $200 in a savings account on january? 1, and the bank pays you interest of? $10 at the end of the year. during the?
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12$ should be the answer
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3 years ago
Closing prices of two stocks are recorded for 50 trading days. The sample standard deviation of stock X is 4.638 and the sample
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Answer:

a) The correlation coeffcient is given by:

r = \frac{Cov(X,Y)}{S_x S_y}

And replacing we got:

r = \frac{-36.111}{4.638 *9.084}= -0.857

b) For this case we can conclude that we have a strong, negative linear association between the two stock prices.

Explanation:

Part a

For this case we have the following info:

s_x = 4.638 represent the sample deviation for the variable X

s_y = 9.084 represent the sample deviation for the variable Y

Cov(X,Y)= -36.111 represent the covariance between the variables X and Y

The correlation coeffcient is given by:

r = \frac{Cov(X,Y)}{S_x S_y}

And replacing we got:

r = \frac{-36.111}{4.638 *9.084}= -0.857

Part b

Describe the relationship between prices of these two stocks.

For this case we can conclude that we have a strong, negative linear association between the two stock prices.

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