Answer:
$0.20
Explanation:
For computing the change in future price, first we have to determine the loss which is shown below:
Loss = Initial Margin - Maintenance Margin
= $4,000 - $3,000
= $1,000
Now the change in future price would be
= Loss ÷ size of the contract
= $1,000 ÷ 5,000 ounces
= $0.20
The future price is increased by $0.20
And, if the margin call is not meet than the broker will stop at best price so that he cannot suffer more loss
Answer:
Given that Program instructions consists of:
- 60% floating point multiply
- 20% floating point divide
- 20% other instructions
Amdahl's law states that:
Execution time affected by improvement = (Execution time after improvement/ Amount of improvement) + (Execution time unaffected)
Assuming initially that floating point multiply, divide and other instructions have same clocks per instruction (CPI).
Part (a)
New execution time after improvement with multiply = (60) / 8 + (20 + 20) = 47.5
New execution time after improvement with Divide = (20) / 3 + (60 + 20) = 86.67
New system should be 4x faster which means new execution time should be below = 100/ 4 = 25.
Therefore, Management's goal can NOT be achieved by making the improvement with multiply or divide alone.
Part (b)
New execution time after improvement with multiply and divide = (60 / 8) + (20 / 3) + 20 = 34.17
Speed up = execution time of original machine / Execution time of new machine = (100 / 34.17) = 2.93
Therefore, new machine is 2.93 times faster than original machine.
Available Options are:
1 Cost approach
2 Market data approach
3 Income approach
4 Gross rent multiplier
Answer:
Market data approach
Explanation:
The Market data is more relaible source to finding the home's market value. As in the given scenario, it is evident that the property is not an investment property, hence it is more appropriate to find the asset's value using the market data rather using the rental value to compute the value of the asset.
Answer:
Trout Lumber Yard
a. The receivables turnover = Net Credit Sales/Average Receivables
= $8,105,305/$447,516
= 18 times per year
b. The Days' Sales in Receivables = Average Receivables/Credit Sales * 365
= $447,516/$8,105,305 * 365
= 20.15 days
c. On the average, it took 20.15 days (365/18.11) for credit customers to pay off their accounts during the past year.
Explanation:
a) Data and Calculations:
Accounts receivable balance = $447,516
Credit sales for the year just ended = $8,105,305
The receivables turnover = Net Credit Sales/Average Receivables
= $8,105,305/$447,516
= 18.11 times
The Days' Sales in Receivables = Average Receivables/Credit Sales * 365
= $447,516/$8,105,305 * 365
= 20.15 days
