<span>9.20 percent
Re= 0.036 +1.2(0.085) = 0.138
Re= [($1.10 x 1.02)$19] +.02 = 0.0790526
ReAverage = (0.138 + 0.0790526)/2 = 0.108526
WACC = (1/1.65)(0.108526) + (0.65/1.65)(0.098)(1-0.32) = 9.20 percent</span>
Answer 2 is the best choice
Caroline will most likely be performing the prescriptive role of marketing research. Prescriptive analytics are known for processes data from their findings and using it to better suit the company in marketing tactics. Then they are able to present it to their team and in this situation, know which items are top sellers and which aren't. Caroline will use this data to determine what customers are attracted to, what they buy and how she can bring in more revenue to the jewelry store she manages.
Answer:
PV(after-tax net return in 7th year) = 70.55 (Approx)
Explanation:
Given:
Number of year = 7
Pre-tax net returns (Fn) = $100
Growth rate = 4% = 0.04
Inflation = 3% = 0.03
Marginal tax rate = 30% = 0.3
Discount rate = 10% = 0.1
Computation:
Fn = Fo(1+g)ⁿ = 100(1.04)⁷
Fn = 131.6
Nominal net returns = 131.6(1.03)⁷
Nominal net returns = 161.85
After tax return = 161.85 (1 - 0.3)
After tax return = 113.30
After-tax, risk adjusted discount rate = 0.1(1-0.3) = 7%
PV(after-tax net return in 7th year) = 113.30
(1+0.07)⁻⁷
PV(after-tax net return in 7th year) = 70.55 (Approx)
