Answer: $337,869.73
Explanation:
Find out the future value of $1,000 given an interest rate of 7.1%. If this amount is less than the future value of $210,000, the difference is added to the final payment to come up with the balloon payment.
The APR needs to be made periodic:
= 7.1% / 12
The $1,000 payment is an annuity so this can be calculated as:
= Annuity * ( ( 1 + rate) ^ number of periods - 1) / rate
= 1,000 * ( ( 1 + 7.1/ 12%) ²⁴⁰ - 1) / 7.1/12%
= $527,297.83
Future value of $210,000
= 210,000 * ( 1 + 7.1/ 12%) ²⁴⁰
= $865,167.56
Balloon payment will be:
= 865,167.56 - 527,297.83
= $337,869.73
Answer:
25%
Explanation:
Accounting rate of return =( Net income from investment ÷ Cost of investment ) × 100
Net income from investment = $100,000
Cost of investment = $400,000
Required rate of return = ($100,000 / $400,000 ) × 100
= 0.25 × 100
= 25%
The market demand curve would be 1000 - 0.125Q.
<h3>How to calculate the demand curve?</h3>
It should be noted that the market demand curve will be the sum of the individual demand curve.
The market demand curve will be calculated thus. Mary’s demand curve is 5P = 5000 – 1.25QM. Here, p = 1000 - 0.25QM
Jack’s demand curve for donuts is given by P = 1000 – 0.5QJ. Helen’s demand curve is given by QH = 2000 – 2P. This will be P = 1000 - 0.5QH.
The slope will be:
= 0.5 × 0.25
= 0.15
The demand function of Jack and Helen are the same. The demand curve will be 1000 - 0.125Q.
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Explanation:
The computation of the activity rate for each activity is shown below:
As we know that
Activity Rate = Expected rate ÷ Activity Driver
For Handling material = $650,000 ÷ 100,000 = $6.50 per part
For Inspecting product = $925,000 ÷ 1,500 parts = $616.67 per batch
For Processing purchase orders = $130,000 ÷ 700 = $185.72 per orders
Paying supplies = $200,000 ÷ 500 = 400 per invoices
Insuring the factory = $325,000 ÷ $40,000 = $8.125 per square foot
Designing packaging = $100,000 ÷ 2 models = 50,000 per models
Answer:
True
Explanation:
When a company as a framework to measure risk against, it can properly assess risk in different periods of time, depending of the risk score obtained within the framework.
This helps regulators because they can access an accurate primary information from the company itself (later on, they should probably compare that information against their own standards in order to prevent bias), and it also helps the company because it can see where it stands in terms of risk, which reduces uncertainty.