Advanced Class on Monte Carlo Simulations
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Summary
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
Multi-User CPE Policy
Admission to this program includes one CPE certificate for one individual.
Any additional listeners requesting CPE must pay a processing fee assessed at the completion of the online CPE survey for this course.
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CPE Information
- Prerequisites: Knowledge of Business Valuation
- Program Level: Advanced
- Preparation Required: None
- Delivery Method: Group Internet-Based
- Recommended CPE: 2.0 Credit Hours (Accounting – Technical)
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NASBA Sponsor
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questions during the webinar to be awarded NASBA-qualified CPE. Attendees that respond to all polling questions and complete a survey
will be verified and emailed a CPE certificate within 5-7 business days.
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