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Join Oksana Westerbeke and Keith Konen to learn the basics of the Monte Carlo simulation. Review the pros and cons of different software used for Monte Carlo simulations. Then dive into the steps to set up your first Monte Carlo simulation with a detailed discussion of the “assumptions” and “forecast” of the Monte Carlo simulation, the analytics and output, and troubleshooting. Learn through the hands-on visual presentation of designing and implementing a Monte Carlo simulation for a path-dependent option and an earnout.
Program Agenda
Summary of Monte Carlo uses and purposes
Description of a simulation model
Building a simulation model for a path dependent option
Building a simulation model for a earnout
Troubleshooting a simulation model
Analyzing the statistics from the simulation
Learning Objectives
Develop a Monte Carlo analysis to analyze a path dependent option
Develop a Monte Carlo analysis to value an earnout
Analyze the results of the simulation
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