Answer:
PV= $22,677.03
Explanation:
Giving the following formula:
Number of periods (n)= 9 years
Annual payment (A)= $3,800
Discount rate (i)= 12%
First, we will calculate the future value of the payments using the following formula:
FV= {A*[(1+i)^n-1]}/i + {[A*(1+i)^n]-A}
FV= {3,800*[(1.12^9) - 1]} / 0.12 + {[3,800*(1.12^9)] - 3,800}
FV= 56,147.49 + 6,737.7
FV= $62,885.19
Now, the present value:
PV= FV / (1 + i)^n
PV= 62,885.19 / (1.12^9)
PV= $22,677.03
M&M's Proposition II suggests that in a world of no taxes and no bankruptcy, ________. A. in simple terms, as the firm adds more debt to the financing mix, the shareholders require a higher and higher return on equity such that it exactly offsets the use of the cheaper debt B. no matter what the debtequity ratio is, the Ra or WACC of the firm increases with debt C. the value of the firm is sensitive to the funding choice between debt and equity D. Statements A, B, and C are all incorrect.
Answer:
A
Explanation:
Bandar Industries manufactures sporting equipment. One of the company’s products is a football helmet that requires special plastic. During the quarter ending June 30, the company manufactured 35,000 helmets, using 22,500 kilograms of plastic. The plastic cost the company $171,000. According to the standard cost card, each helmet should require 0.6 kilograms of plastic, at a cost of $8 per kilogram. Required: 1. What is the standard quantity of kilograms of plastic (SQ) that is allowed to make 35,000 helmets? 2. What is the standard materials cost allowed (SQ × SP) to make 35,000 helmets? 3. What is the materials spending variance? 4. What is the materials price variance and the materials quantity variance?
Answer:
1. 21,000 kg of plastic
2. $168,000
3. $3000 Unfavorable
4. Materials Price variance $9000 Favaorable
Materials Quantity variance $12,000 Unvaforable
Explanation:
1. Calculation to determine the standard quantity of kilograms of plastic (SQ) that is allowed to make 35,000 helmets
Using this formula
Standard quantity of kilograms of plastic (SQ) = Standard quantity required per helmet x Total no. of helmets
Let plug in the formula
Standard quantity of kilograms of plastic (SQ) = 0.60 kg x 35,000
Standard quantity of kilograms of plastic (SQ) = 21,000 kg of plastic
Therefore The standard quantity of kilograms of plastic (SQ) that is allowed to make 35,000 helmets is 21,000 kg of plastic
2. Calculation to determine the standard materials cost allowed (SQ X SP) to make 35,000 helmets
Using this formula
Standard materials cost allowed (SQ X SP) = Standard quantity required per helmet x Standard cost per kg x Total no. of helmets
Let plug in the formula
Standard materials cost allowed (SQ X SP)= 0.60 x $8 x 35,000
Standard materials cost allowed (SQ X SP)= $168,000
Therefore The standard materials cost allowed (SQ X SP) to make 35,000 helmets is $168,000
3. Calculation to determine the materials spending variance
First step is to calculate the Materials Price variance
Using this formula
Materials Price variance = (AQ × AP) - (AQ × SP)
Let plug in the
Materials Price variance= $171,000 - (22,500 x $8)
Materials Price variance= $171,000 - 180,000
Materials Price variance= -$9,000
= $9000 Favaorable
Second step is to calculate the Materials Quantity variance using this formula
Materials Quantity variance = (AQ × SP) - (SQxSP)
Let plug in the formula
Materials Quantity variance=
Materials Quantity variance= 180,000 - $168,000
Materials Quantity variance=$12,000
Materials Quantity variance= $12,000 Unvaforable
Now let calculate the Materials spending variance using this formula
Materials spending variance = Price variance + Quantity variance
Let plug in the formula
Materials spending variance= -$9,000+ $12,000 Materials spending variance= $3,000
Materials spending variance= $3000 Unfavorable
Therefore Materials spending variance is $3000 Unfavorable
4. Calculation to determine the materials price variance and the materials quantity variance
Calculation for the Materials Price variance Using this formula
Materials Price variance = (AQ × AP) - (AQ × SP)
Let plug in the formula
Materials Price variance= $171,000 - (22,500 x $8)
Materials Price variance= $171,000 - 180,000
Materials Price variance= -$9,000
Materials Price variance= $9000 Favaorable
Therefore Materials Price variance is $9000 Favaorable
Calculation to determine Materials Quantity variance using this formula
Materials Quantity variance = (AQ × SP) - (SQxSP)
Let plug in the formula
Materials Quantity variance= = 180,000 - $168,000
Materials Quantity variance=$12,000
Materials Quantity variance= $12,000 Unvaforable
Therefore Materials Quantity variance is $12,000 Unvaforable
Allure Company manufactures and distributes two products, M and XY. Overhead costs are currently allocated using the number of units produced as the allocation base. The controller has recommended changing to an activity-based costing (ABC) system. She has collected the following information: Activity Cost Driver Amount M XY Production setups Number of setups $ 73,000 12 18 Material handling Number of parts 49,000 68 23 Packaging costs Number of units 246,000 96,000 60,000 $ 368,000 What is the total overhead per unit allocated to Product XY using activity-based costing (ABC)
Answer:
Results are below.
Explanation:
First, we need to calculate the allocation rates:
Predetermined manufacturing overhead rate= total estimated overhead costs for the period/ total amount of allocation base
Production setups= (73,000 / 30)= $2,433.33 per setup
Material handling= (49,000 / 91)= $538.46 per number of part
Packaging costs= (246,000 / 156,000)= $1.58 per unit
Now, we need to allocate costs to Product XY:
Allocated MOH= Estimated manufacturing overhead rate* Actual amount of allocation base
Production setups= 2,433.33*18= 43,799.94
Material handling= 538.46*23= 12,384.58
Packaging costs= 1.58*60,000= $94,800
Total allocated costs= $150,984.52
Finally, per unit basis:
Unitary cost= 150,984.52 /60,000= $0.27
Gourmet Aroma Coffee House has an exclusive contract with Columbia exporters. Two brands of gourmet coffee are imported, Morning Thunder (MT) and Evening Tender (ET). The following data are provided for the current fiscal year: Budgeted Operating Results MT ET MT ET Price per pound $ 40 $ 60 $ 50 $ 56 Variable cost per pound 20 36 24 40 Sales (in pounds) 4,000 4,000 3,960 5,040 The total market was estimated to be 80,000 pounds at the time of budget. The actual total market for the year is 75,000 pounds. What is the total contribution margin sales volume variance
Answer:
$24,160 favorable
Explanation:
The computation of the total contribution margin sales volume variance is given below:
The Budgeted contribution margin per pound of MT is
= $40 - $20
= $20 per pound
Now the budgeted contribution margin per pound of ET is
= $60 - $30
= $24 per pound
MT's contribution margin sales volume variance is
= (Actual sales quantity - Budgeted sales quantity) × Budgeted contribution margin per pound
= (3960 - 4000) × $20
= $800 Unfavorable
ET's contribution margin sales volume variance is
= (Actual sales quantity - Budgeted sales quantity) × Budgeted contribution margin per pound
= (5,040 - 4000) × $24
= $24,960 favorable
Now the total contribution margin sales volume is
= $800 unfavorable + $24,960 favorable
= $24,160 favorable
Why is it important for developers to be careful when using cascading deletes?
They may create orphaned records.
They may link to data in external databases.
They may delete more records than intended.
They may disconnect the bond between tables.
Answer:
C. They may delete more records than intended.
Explanation: Just answered it on edg. 2021
Answer:
(C) They may accidentally delete more records than intended.
Explanation:
You own a portfolio equally invested in a risk-free asset and two stocks. If one of the stocks has a beta of 1.12 and the total portfolio is equally as risky as the market, what must the beta be for the other stock in your portfolio
Answer:
Beta for the other stock = 1.88
Explanation:
A portfolio is said to be as risky as the market where its beta is exactly equal to 1. A beta of greater than 1 implies the portfolio is riskier than the average market, and less risky where the beta is less than 1.
A portfolio that has an equal proportion of three asset would mean a weight of 1/3 for each asset
So we can represent the portfolio beta as follows:
1 = 1/3×(0) + 1/3× (1.12) + 1/3×y
1= 0.37 + 0.33y
0.33y = 0.626
y= 0.626/0.33
y= 1.88
Beta for the other stock = 1.88