» Basic Business
This is a very simplified model of business (profit equals revenue minus cost). This model builds uncertainty into revenue and cost in a very simple way by assuming that each is normally distributed and correlated to each other.

» Palisade Risk Register
This model illustrates a simple Risk Register where events are defined by their probabilities of occurrence and uncertain impacts. The model calculates pre- and post-project losses and identifies key drivers.

» Palisade Credit Risk System
This model uses Monte Carlo simulation to calculate expected and unexpected losses in a portfolio of credit loans. Model information is extracted from an external database.

» Oil & Gas
This model shows how in a simple production forecasting model, the time component can be included in Monte Carlo Simulation modeling, showing Trend and Box-plot graphics, including time as part of the equation.

» Basic Portfolio Analysis
This model uses Monte Carlo simulation to determine the different possible returns on a stock portfolio given uncertain returns on individual stocks.

» Cost Estimation
This model answers the common project management questions: What is the probability the project will be completed within the budget? And how much contingency should be included?

» Cash Flow / NPV
This model shows Monte Carlo simulation can forecast the financial success of a new proposed project or venture.

» Insurance Claims - Model with Compound Distribution
This model uses a random number of claims and a typical random claim amount to calculate expected and unexpected losses of each claim type.

» Fit Sample Data
This example shows how to fit a distribution to a series of sample data points.

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