🔎 Monte Carlo
Monte Carlo analysis is complex, and it is difficult to do justice to it unless the course requires both programming and sophisticated understanding of probability.
Modeling Process
- Step 1: Model Project
- Decide how the critical variables affect the outcome
- Make a spreadsheet which relates the critical variables to the NPV.
- Step 2: Specify Probabilities
- Decide on the probabilities of critical variables having various configurations of outcomes (there is covariance and correlation in the background).
- Step 3: Calculate Free Cash Flows (FCF) for every possible combination of the critical values
- Step 4: Calculate Present Value
- (Step 5: Make a pretty graph to indicate which outcomes are most likely) Simulate the entire process 10,000 times and make a histogram of the NPV that includes each “run” of the model.
Here is a 2021 article about Monte Carlo for Risk Managers:
https://www.garp.org/risk-intelligence/credit/the-case-for-monte-carlo-simulations