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Andrew [12]
3 years ago
5

Emily spent $259,600 to rehabilitate a certified historic building (adjusted basis of $168,740) that originally had been placed

in service in 1935. What is Emily's rehabilitation expenditures tax credit
Business
1 answer:
tatiyna3 years ago
5 0

Answer: $51,920

Explanation:

For a building that was constructed before 1936, the rehabilitation credit is 20% of the amount that the taxpayer spent to rehabilitate the historic building. As this building was constructed in 1935, Emily qualifies for that 20% credit:

= 20% * 259,600

= $51,920

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Do you think competition between co-workers is healthy destructive unavoidable
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<span>Competition between co-workers is healthy and unavoidable because competition keeps the fire burning. Everyone is encourage to top his or her previous performance which leads to better company results. However, too much competition makes the company destructible as well.</span>
7 0
3 years ago
A bank has written a call option on one stock and a put option on another stock. For the first option the stock price is 50, the
iris [78.8K]

Answer:

10-Day 99% VaR = 3.61

Explanation:

Data Given:

For First Option:

Stock Price = 50

Strike Price = 51

Volatility = 28% per annum

Time to maturity = 9 months

For Second Option:

Stock Price = 20

Strike Price = 19

Volatility = 25% per annum

Time to maturity = 12 months or 1 year

Risk Free Rate = 6% per annum

Correlation = 0.4

Find 10-day 99% VaR.

Solution:

First of all we need to refer the DerivaGem Model to dig out the change in price equation for both the options.

So, according to DerivaGem Model, We have following data:

For First Option:

Value  = -5.413

Delta Value = -0.589

For Second Option:

Value = -1.014

Delta = -0.284

Change in Price = (Delta value of First Option x Stock Price)Y1 + (Delta value of the second option x Stock Price)Y2

Change in Price = (-0.589 x 50)Y1 + (-0.284 x 20)Y2

So, We will get the Change in Price Linear Equation for both the options.

Change in Price = -29.45Y1 -5.68Y2

Now, we have to calculate the Daily Volatility Percentage.

Formula:

Daily Volatility Percentage = Volatility/ Square root of number of days active in annum

Number of Days Active = 252

Volatility for First Option = 28%

Volatility for Second Option = 25%

Daily Volatility Percentage for First Option = 28%/\sqrt{252}

Daily Volatility Percentage for First Option = 0.0176

Similarly,

Daily Volatility Percentage for Second Option = 25%/\sqrt{252}

Daily Volatility Percentage for Second Option = 0.0157

Now, utilizing the above calculated data, we can find the one-day variance of change in price.

1-Day Variance =(29.45^{2} *0.0176^{2}) + (5.68^{2} * 0.0157^{2}) - (2 * 29.45 * 0.0176 * 5.68 * 0.0157 * 0.4)

Solving the above equation:

We get:

1-Day Variance = 0.2396

Now, we have to find the standard deviation of 1-Day Variance:

SD of 1-Day Variance = \sqrt{0.2396}

SD of 1-Day Variance = 0.4895

So,

Now, in order to find the value of one day 99% VaR from the table, we have all the prerequisites.

So,

Value of One day 99% VaR from table = 2.33

But we need 10-Day 99% VaR.

So, number of days = 10

Hence,

10-Day 99% VaR = 0.4895 * 2.33 * \sqrt{10}

10-Day 99% VaR = 3.61

8 0
2 years ago
Kemala is a factory worker in Indonesia, where she earns the equivalent of roughly U.S$1 per hour producing T-shirts to export t
postnew [5]

Answer: A. If Kemala willingly choses to work at the factory, the factory job may provide her with a better outcome than any of her next best alternatives.

Explanation:

Going by standards in the United States, the wages that Kemala is earning may be tagged as exploitative. If however, it is shown that Kamala works in that factory of her own accord, then it means that the wage is not exploitative to her because she must be earning more from the factory than other alternatives to it which was why she chose to work there.

It would simple mean that the wages in Indonesia are small by American standards and not just the ones Kemala is receiving from the factory.

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Your answer would be C

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