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Participants will understand the origins of Monte Carlo, as well as learn basic applications for use in the real world. The webinar will cover basic statistics and mathematics required to understand how Monte Carlo simulations are performed, including discussing the central limit theorem and the law of large numbers. The participant will learn how to model stochastic equity/asset processes for use in option pricing and contingent consideration valuations. The participant will learn basic Excel functions for performing Monte Carlo simulations and at the end, will learn how to recreate a Black Scholes call option value using Monte Carlo simulation.
Program Agenda
Brief history
Applications
Statistics/mathematics
Modeling stochastic equity/asset pricing
Excel functions
Example using Black Scholes
Learning Objectives
Learning basic statistical concepts and applications
Master basic use of Monte Carlo simulations in an Excel environment
Avoid basic errors in Monte Carlo use
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