cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Choose Language Hide Translation Bar
Using JMP® to Assess Risk in Financial Predictions by Using Monte Carlo Simulations

Author

Joan Maney, Statistician, Raytheon

Having accurate financial prediction of Estimate at Completion (EAC) is vital to Raytheon in many ways. For example, EACs assist Raytheon's leaders in assessing current program status, which affects the operating results we reflect in our consolidated financial statements. A major program performs Monte Carlo simulations to predict how many hours that a system will take to build. The system is made up of multiple assemblies. Historical data on the hours it takes to complete the assemblies is used to fit distributions. Then these distributions are used as the inputs to perform a Monte Carlo simulation to predict the total hours for the system. Instead of just one number for the total hours, the program now gets a distribution of the total hours that it can use to understand the risk in the estimate of total hours. This paper will walk through the steps of how to use JMP to perform the risk assessment, including the Monte Carlo simulation.

Using JMP® to Assess Risk in Financial Predictions by Using Monte Carlo Simulations - YouTube

Discovery Summit 2014 Resources

Discovery Summit 2014 is over, but it's not too late to participate in the conversation!

Below, you'll find papers, posters and selected video clips from Discovery Summit 2014.