Models
When a new product is developed, it is important to forecast its future financial path. Here you will find a set of examples to do it:
1. A deterministic model to get started.
2. A version using TopRank to see which of many inputs are important enough to model with uncertainty.
3. A basic @RISK model where the most important inputs, based on the TopRank analysis, are modeled with uncertainty.
4. A version with somewhat less uncertainty in the inputs, used for comparison with the previous version.
