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Participants will learn next-level skills in Monte Carlo simulations, such as: constructing confidence intervals, two or more random variables that are correlated, and using non-Excel software platforms (i.e., Python, Octave). Participants will also learn some VBA coding for running Monte Carlo simulations. The webinar will also present multiple Monte Carlo simulation examples, such as: contingent consideration with correlated variables, dealing with future dilutive financing rounds in an option pricing model/equity allocation framework, and option pricing for energy commodity contracts.
Program Agenda
Monte Carlo simulation basics refresher
Building confidence intervals
Excel VBA for Monte Carlo simulations
Other platforms for Monte Carlo simulations
MC examples:
Contingent consideration with correlated random variables
Downround financing in an OPM framework
Energy contract option pricing
Learning Objectives
Understand the Cholesky transformation for correlated random variables
Building confidence intervals / understanding the number of simulations to run
Become familiar with running MC simulations on different software platforms
Learning how to value contingent consideration using MC simulation
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