Answer:
. No, he has not proven he is financially responsible with money previously borrowed.
Explanation:
Dwayne is a high-risk customer.
Most lenders will want to stay away for customers who are perceived as high-risk. A high-risk customer is one whose probability of defaulting on a loan is above the market average.
Dwayne has missed loan repayments in the recent past. Banks interplate this as an indicator that he is highly likely to default on future loan repayments.
For Dwayne to qualify for a loan, he has to improve his credit score. He can do that by prompt repayments of debts. He has to find out why he is missing or getting late in meeting his obligations. Most likely, he is taking loans for the wrong reasons.
Answer:
pricing
Explanation:
pricing is the amount you pay a buissness for their product.
Answer:
9.4%
Explanation:
Initial investment=$22,000+$22,000=$44,000
number of shares bought=$44,000/$110(the investor paid $55 out of every $110)
number of shares bought=400
Increase in share in one year=$110*8%=$8.80
loan interest on each share=$55*6.6%=$3.63
rate of return=(increase in share price-loan interest)/initial amount invested
rate of return=($8.80-$3.63)/$55
rate of return=9.4%
Answer:
13.16%
Explanation:
In this question we use the RATE formula i.e shown in the attached spreadsheet
Given that,
Present value = $725
Assuming figure - Future value or Face value = $1,000
PMT = 1,000 × 9% ÷ 2 = $45
NPER = 16 years × 2 = 32 years
The formula is shown below:
= Rate(NPER;PMT;-PV;FV;type)
The present value come in negative
So, after solving this, the yield to maturity is 6.58% × 2 = 13.16%
Answer:
A.) 270 units (b.) Increase
Explanation:
Given the following :
Annual demand (A) = 2870
Working days = 205
Review period (P) = 16 working days
Lead time (L) = 2 working days
Standard deviation (σ) = 6 per working day
Service probability = 76%
Therefore, z = NORMSINV(0.76) = 0.71
Average demand (D) = 2870 / 205 = 14
Optimum target level, (S) is given by the relation:
D×(P+L) + z×σ×√(P+L)
14×(16+2) + 0.71×6×√(16+2)
(14×18) + 4.26 × √18
252 + 4.26*4.242
252 + 18.07
= 270.07 units = 270 units
B) If service probability increases to 97%, Z will automatically increase, hence a corresponding increase in the optimal target level.
