Answer:
3) is a type of mathematical model used when the user seeks to optimize some objective function subject to some constraints
Explanation:
Optimization models are used by businesses to try to solve some specific problem by optimizing or minimizing its function.
For example, you want to optimize your inventory management. Your goal will be to lower your inventory costs by maximizing inventory turnover.
Answer:
$12,892.67
Explanation:
Given:
Deposit amount (P) = $5,000
Interest Rate(I) = 7% (compounded annually) = 7/100 = 0.07
Number of years (n) = 10+4 = 14 years
Amount (A)=?
Calculation:
Amount = $12,892.67
So, we get $12,892.67 , 10 years from today.
Answer:
Exptected return = 11.2%
Beta = 1.23
Explanation:
The post-purchase expected return of the portfolio is the weighted average return of Syngine stock and pre-purchase return of the portfolio, calculated as below:
Post-purchase portfolio return = (Market value of Synhine stock purchase/Total market value of post-purchase portfolio)x Syngine stock return + (Market value of pre-purchase porfolio/Total market value of post-purchase portfolio) x Pre-purchase return
= [(1,000 x 10)/(1,000 x 10 + 90,000)] x 13% + [(90,000)/(1,000 x 10 + 90,000)] x 11% = 11.2%
Using the same concept, beta of the post-purchase is calculated as below:
Post-purchase portfolio beta = [(1,000 x 10)/(1,000 x 10 + 90,000)] x 1.5 + [(90,000)/(1,000 x 10 + 90,000)] x 1.2 = 1.23
Answer:
CONFORMANT reders to the propensity fir a product to perform consistently iver its useful design life
Answer:
$3,000
Explanation:
Calculation to determine How much bad debts expense will Great Landscapes report in 2019
Using this formula
2019 bad debts expense =Estimated doubtful accounts-Allowance for Doubtful Accounts has a credit balance
Let plug in the formula
Bad debts expense=$3,600-$600
Bad debts expense=$3,000
Therefore The Amount of bad debts expense that Great Landscapes will report in 2019 is $3,000
