A market:

Jamie is single. In 2019, she reported $100,000 of taxable income, including a long-term capital gain of $5,000. What is her gro

ryzh [129]

Answer:

$17,724.50

Explanation:

The computation of the gross tax liability is shown below:

The tax schedule for 2019 year is shown below:

Tax slabs tax rate taxable amount

$0 - $9,700 10% $970

$9,700 - $39,475 12% $3,573

$39,475 - $84,200 22% $9,839.30

$84,200 - $95,000 24% $2,592

Total $16,974.50

The capital gain tax rate is 15% (assume)

So, the capital gain is

= $5,000 × 15% = $750

So, the gross liability is

= $16,974.50 + $750

= $17,724.50

5 0

4 years ago

Assuming that the Gini coefficient for Egypt is 0.403 and the Gini coefficient for Australia is 0.404, it is possible to conclud

artcher [175]

Answer:

The correct answer is . d. none of the above.

Explanation:

Gini coefficient is a measure of the inequality devised by the Italian statistician Corrado Gini. It is normally used to measure income inequality, within a country, but it can be used to measure any form of unequal distribution. The Gini coefficient is a number between 0 and 1, where 0 corresponds to perfect equality (all have the same income) and where the value 1 corresponds to perfect inequality (one person has all income and none others ). The Gini index is the Gini coefficient expressed in reference to a maximum of 100, instead of 1, and is equal to the Gini coefficient multiplied by 100. A variation of two cents of the Gini coefficient (or two units of the index) is equivalent to a distribution of 7% of wealth from the poorest sector of the population (below the median) to the richest (above the median).

8 0

3 years ago

Volt Electronics sells equipment that includes a three-year warranty. Repairs under the warranty are performed by an independent

Nuetrik [128]

Answer:

a. When the equipment is sold.

Explanation:

As we know that

When someone sells or purchase a product, the services are attached to the product which is passed from the buyer to the seller that can be in terms of warranty i.e after-sales services, etc

So according to the given situation, the estimation of the warranty cost is $25 per time sold so the warranty cost should be recognized when the equipment is sold as it is attached to the product

4 0

3 years ago

You have been managing a $5 million portfolio that has a beta of 1.45 and a required rate of return of 9.975%. The current risk-

Gre4nikov [31]

Answer:

8.934%

Explanation:

r(m) = r(f) + [b × r(p)]

r(m) = expected return = 9.975%

r(f) = risk free rate = 2%

b = beta = 1.45

r(p) = risk premium

so,r(p) = (9.975 - 2) ÷ 1.45

= 5.5%

for portfolio,

r(m) = r(f) + (b1 × w1 + b2 × w2) × r(p)

b1 = 1.45, w1 = (5 ÷ 5.5), b2 = 1.25, w2 = (0.5 ÷ 5.5)

r(m) = 2 + [1.45 × (5/5.5) + 1.25 × (0.5/5.5)] + 5.5

= 2 + 1.32 + 0.114 + 5.5

= 8.934%

6 0

3 years ago

Suppose 70% of all companies are classified as small companies and the rest as large companies. Suppose further, 82% of large co

aleksandrvk [35]

Answer:

a) p(small) = 0.126

p(large) = 0.246

b) p(small) = 0.6613

p(large) = 0.3387

c) 37.2%

Explanation:

A) determine that the company picked is a large company or small company

condition : the company provides training to its employees

Given data:

p( small ) = 0.7, p( large ) = 0.3, p( training ∩ small ) = 0.18, p( training ∩ large ) = 0.82 , p( No-training ∩ small ) = 0.82 , p( no-training ∩ large ) = 0.18

A) hence the probability of picking a small company that provides training

P( small | training ) = P(Training ∩ Small)* P(Small) = 0.18 * 0.7 = 0.126

Probability of picking a large company that provides training

P( large | training ) = P(training ∩ Large) *P(Large) = 0.82 * 0.3 = 0.246

B) Determine the revised probabilities that company picked is large or small

Revised probability for a large company; P( large | training )

P(Large | training) = P(Large ∩ training) / P(training)

= 0.246 / ( 0.126 + 0.246 ) = 0.6613

P( small | training ) = P( small ∩ training ) / P(training )

= 0.126 / ( 0.126 + 0.246 ) = 0.3387

C) Overall percentage of companies that offer training

p( training ) = 0.126 + 0.246 = 0.372 = 37.2%

3 0

3 years ago