CQRM - Certified in Quantitative Risk Management

Module 1: Introduction to Risk Analysis

• Chapter 1: Introduction to the Training and What to Expect
• Chapter 2: How Are Business Decisions Made?
• Chapter 3: What is Risk and Why Should Risk be Considered?
• Chapter 4: Overview of Risk Analysis Software Applications.

Module 2: Monte Carlo Simulation with Risk Simulator

• Chapter 1: Overview of Risk Simulator Software
• Chapter 2: Profiling, Assumptions, Forecasts and Running Simulations
• Chapter 3: Interpreting the Forecast Statistics
• Chapter 4: Simulation Run Preferences and Seed Values
• Chapter 5: Running Reports, Saving and Extracting Simulation Data

Module 3: Advanced Simulation Techniques

• Chapter 1: Correlating and Truncating Distributions
• Chapter 2: Alternate Parameters
• Chapter 3: Multidimensional Simulations
• Chapter 4: Distributional Fitting
• Chapter 5: Due Diligence and Pitfalls in Simulation

Module 4 Simulation and Analytical Tools

• Chapter 1: Static Tornado and Spider Charts
• Chapter 2: Dynamic Sensitivity Analysis and Scenario Analysis
• Chapter 3: Hypothesis Test on Different Distributions
• Chapter 4: Nonparametric Bootstrap Simulation

Module 5: Optimization with Risk Simulator

• Chapter 1: Introduction to Optimisation
• Chapter 2: Continuous Optimisation
• Chapter 3: Integer Optimisation

Module 6: Forecasting

• Chapter 1: Overview of Forecasting Techniques and Data Types
• Chapter 4: Nonlinear Extrapolation
• Chapter 5: Multivariate Linear and Nonlinear Regression Analysis
• Chapter 6: Stochastic Processes
• Chapter 7: Advanced Forecasting: Box-Jenkins ARIMA and Auto ARIMA, GARCH, J-Curve, S-Curves, Markov Chains, Data Diagnostics, Statistical Properties, Basic Econometrics

Module 7: Real Options Analysis: Theory and Background

• Chapter 1: Real Options: What, Where, Who, When, How, and Why?
• Chapter 2: Sample Applied Business Cases
• Chapter 3: Overview of Different Options Valuation Techniques
• Chapter 4: Risk-Neutral Probability Technique
• Chapter 5: Solving a Basic European and American Call Option
• Chapter 6: Using Excel to Solve a Basic European and American Call Option
• Chapter 7: Abandonment, Expansion, Contraction, and Chooser Options

Module 8: Real Options Analysis: SLS (Super Lattice Solver) Application

• Chapter 1: Overview of the Different SLS Modules and Volatility Estimates
• Chapter 2: Volatility Estimates
• Chapter 3: Options with Changing Inputs and Customised Exotic Options
• Chapter 4: MSLS: Multiple Sequential Compound Options
• Chapter 5: MNLS: Solving Mean-Reverting, Jump-Diffusion, and Dual-Asset Rainbow
• Options using Trinomial, Quadranomial, and Pentanomial Lattices
• Chapter 6: Framing Real Options-Structuring the Problem
• Chapter 7: The Next Steps