Course Description
This hands-on course demonstrates advanced techniques EC RISK USA
& EUROPE, LLC has found useful in its consulting activities. We explain
how to use @RISK to perform quantitative risk assessments focusing
on financial decisions. We also show how to use the analysis results
to improve decision-making-from exposure identification, quantification,
and mitigation. In addition, we introduce the concept of real options-how
to identify and quantify the flexibilities that exist in decisions.
These techniques are presented in the context of new and current
projects and acquisitions. We show you how to identify and analyze
the key uncertainty drivers, which form the basis for efficient
risk and opportunity management strategies.
Day 1: Introduction to Advanced Techniques
- Accelerated review of risk analysis using @RISK: Working through
a simple example
a) Model structure
b) Selecting distributions
c) Recommended @RISK settings
d) Custom report
e) Assessing the risk
f) Testing mitigation alternatives
g) Reporting results
- Modeling techniques: Modeling conditional events
- Automating @RISK with VBA Macros
- Modeling Correlation
a) Building interdependence between uncertain inputs
b) Exercises
Day 2: Modeling the Key Components of a Risk Analysis
- Selecting a sound distribution
a) Quantifying expert judgment
b) Fitting distributions to uneven data
c) Exercises
- Modeling uncertainty over time (time series uncertainty):
a) Ad Hoc Methods
b) Regression
c) Exercises
- Developing an @RISK model step-by-step: Project Valuation (NPV)
w/o Flexibility
- Extending @RISK models: Finding the best values for decision
cells in the models using RISKOptimizer.
Day 3: Introduction to Real Options -- Valuing Flexibility
- Introduction to Real Options
- Learning 3 different solution methods:
a) Black-Scholes
b) Binomial Lattices
c) Monte Carlo Simulation
- Exercises
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