We will need to use Excel to solve this Question. Please follow the instructions
Open Excel
In Column A, generate a random number for Size of market (X) using the following formula:
=NORM.INV(RAND(),10300,2200)
Here, mean = 10300 and standard deviation = 2200
This formula generates random numbers which follow normal distribution with given mean and standard deviation.
Copy this formula from cell A2 to A201
In column B, generate random number for cost of production (C) using the following formula:
=1.75 + 0.5*RAND()
Copy this formula from cell B2 to B201
In column C, calculate net profit (Z) using the following formula:
=((4-C)*X)-20000
For C and X use the corresponding numbers from column B and A respectively.
For example, Cell C2 = =((4-B2)*A2)-20000
In column D, calculate utility function as follows:
=1-exp(-Z/20000)
Thus, Cell D2 = =1-(EXP(-C2/20000))
In cell E2 calculate average of D2 to D201
This will give you an average of utility function for 200 simulations.
You can refresh the excel to generate more number of simulations.
Results of simulation 1, Average U(z):
| -0.00146 |
Results of simulation 2, Average U(z):
| 0.017731 |
Results of simulation 3, Average U(z):
| 0.020276 |
Results of simulation 4, Average U(z):
| -0.00367 |
Results of simulation 5, Average U(z):
| 0.009476 |
Now, Utility of Do not develop step with Net profit = 0 is 1-exp(-0/20000) = 0
if E2 > 0, Develop (as the CEO is risk averse)
If E2 < 0, Do not develop
However, with our simulations each time there is a new Utility function which may or may not be greater than zero. However, every time the number of times U(Z) < 0 is less than 100 even if the average U(z) is negative. Thus, the CEO should develop the process. And the average U(Z) should not be the decision criteria but the number of times U(z) > 0 should be the decision making criteria.
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