Dahlia Simmons, CFO of Ulrich Enterprises, is analyzing a new project to sell solar powered batteries for cell phones. Dahlia has estimated the following probability distributions for the variables in the project: PROBABILITY 10% 30% 40% 20% INDUSTRY DEMAND 80 milion 95 milion 108 milion 124 million PROBABILITY ULRICH MARKET SHARE 5% 1% 20% 2% 20% 3% 25% 4% 20% 5% 10% 6% PROBABIUTY INITIAL COST 20% $60 million 70% $65 million 10% $72 milion PROBABILITY VARIABLE COST PER UNIT 20% $24 65% $26 15% $29 PROBABILITY 15% 25% 40% 20% FIXED COSTS $20 million $24 milion $27 milion $31 milion The unit price depends on the industry demand because a greater demand will result in a higher price. Dahlia determines that the price per unit will be given by the equation: Price Industry demand / 2,000,000 +/- $2 The random +/-$2" term represents an increase or decrease in price according to the following distribution: 55% PROBABILITY PRICE RANDOMNESS The length of the project, tax rate, and required return are: Project length years Required return a. Create a Monte Carlo simulation for the project with at least 500 runs. Calculate the IRR for each run. Note that the IRR function in Excel will return an error if the IRR of the project is too low. For example, what is the IRR if both the initial cash flow and the operating cash flows are negative? The IRR is less than 100 percent. This is not a problem when you are calculating the IRR one timebecause you can see the IRR is too low, but when you are running 500 or more iterations, it can create a problem when you try to summarize the results. Because of this issue. you should create an IF statement that tests whether the operating cash flow divided by the absolute value of the initial investment is less than 10. If this is the case, the cell will return an IRR of -99.99 percent; if this is not the case, the cell will calculate the IRR.