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Nady [450]
3 years ago
13

Peking Palace Company reported the following: Standard quantity per unit 3 lbs. Standard price per pound $2.75 Actual pounds use

d 15,000 lbs. Actual price per pound $2.90 Number of units produced 5,070 What is the direct materials quantity variance?
Business
1 answer:
SCORPION-xisa [38]3 years ago
7 0

Answer:

$577.5 favorable

Explanation:

Data provided in the question:

Standard quantity per unit 3 lbs

Standard price per pound = $2.75

Actual pounds used = 15,000 lbs

Actual price per pound = $2.90

Number of units produced = 5,070

Now,

The direct materials quantity variance is given as;

= | ( Actual quantity - Standard quantity ) | × Standard price

= ( 15,000 lbs - {Standard quantity per unit × units produced}) × $2.75

=  ( 15,000 lbs - { 3 × 5,070}) × $2.75

= | ( 15,000 lbs - 15,210 ) | × $2.75

= $577.5

Since,

Standard quantity is higher than the actual quantity

thus,

$577.5 favorable

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Growth has its advantages; it enables a company to reach more customers, generate more sales, and put money back in the business.

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1 year ago
Oliver Is a small manufacturing business owner. He has a limited number of employees working under him. He usually helps his emp
Aleks04 [339]

Answer:

Confidence

Explanation:

For example, if you want to be a good student be confindent because one day you will succeed,  Oliver has confindence knowing he can help his empolyees.

4 0
3 years ago
18. A company is in its first month of operations. On January 15, the company receives $600 from customers who will receive 10 v
Amiraneli [1.4K]

Answer:

The adjusting entry at the end of January:

Debit Unearned revenue: $480

Credit Revenue: $480

Explanation:

When recceived $600 on January 15 from customer, the company must record:

Debit Cash: $600

Credit Unearned revenue: $600

because all lessons are not provided by the company, the company can't recording revenue.

On January 31, the company provided 8 lessons, so the company must recording revenue for these lesson (8x$60=$480) by adjusting entry.

3 0
3 years ago
In a marketing context, customers seek a fair return in goods and/or services for their hard-earned money and scarce time. They
Alinara [238K]

Answer:

the answer is They are seeking Economic <u>Value</u>.

Explanation:

In a marketing context, customers seek a fair return in goods and/or services for their hard-earned money and scarce time. They are seeking <u>value</u>, which reflects the relationship of benefits to costs, or what you get for what you give.

Value is variable, lets zero in on Economic Value since the subject is effective demand from a customer.

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6 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
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