CQRM LEVEL I 🌎 Certification Program

Course Curriculum

    1. CQRM Course: A Very Quick Introduction (4 min)

    2. CQRM MasterClass - Risk-Based Strategic Decisions in Multi-Billion Corporations (110 min)

    3. CQRM Reading: Real Options Analysis versus Traditional DCF Valuation in Layman’s Terms

    4. Know More: IIPER | CQRM Level II (Optimization and Predictive Forecasting) - Optional

    5. Quiz 1 – CQRM LEVEL I - Introduction

    1. A Quick Note

    2. CQRM - Getting Started - Support Material Ebook (MOBI - EPUB -AZW3)

    3. UNIT 1 - CQRM Support Material - General Overview and Preparation

    4. Course Introduction and CQRM-IIPER Overview (23 min)

    5. Getting Started - Risk Simulator Support

    6. Introduction to Risk Simulator (45 min)

    7. Applied Statistics, Decision Sciences, and Business Intelligence (20 min)

    8. Quiz 2 - UNIT 1 - CQRM LEVEL I

    1. UNIT 2 - CQRM Support Material - General Overview and Preparation

    2. Monte Carlo Simulation Theory (20 min)

    3. Monte Carlo Simulation and Distribution Fitting Using Risk Simulator (25 min)

    4. Quick Overview of Probability Distributions

    5. Quiz 3 - UNIT 2 - CQRM LEVEL I

    1. UNIT 3 - CQRM Support Material - General Overview and Preparation

    2. Distributional Moments and Statistics Summary (25 min)

    3. Linear and Nonlinear Correlations with Correlated Simulation (20 min)

    4. Quiz 4 - UNIT 3 - CQRM LEVEL I

    1. UNIT 4 - CQRM Support Material - General Overview and Preparation

    2. Analytical Tools and Methods: Tornado, Scenario, Overlay, Dynamic Sensitivity, Structural Breaks (30 min)

    3. Bootstrapping, Multidimensional Simulation, Correlation, Precision (30 min)

    4. Quiz 5 - UNIT 4 - CQRM LEVEL I

    1. Final Evaluation - Monte Carlo Simulation and Model Analytics

    2. General Survey | CQRM LEVEL I

About this course

  • Free
  • 28 lessons
  • 6 hours of video content

CQRM LEVEL I

Monte Carlo Simulation Profile

Duration

⏰ 11 Hours, Online

There is a 90% probability that the completion time will be between 10.7 and 12.1 hours.

PRE CQRM Simulation

Meet your CQRM Director

Prof. Dr Johnathan Mun | PhD, MS, MBA, BS, CQRM, FRM, CFC, MIFC

πŸ‘¨β€βš–οΈChairman of OSL Analytics Academy (UK) and CEO of Real Options Valuation (US).

πŸ› Dr Mun is the IIPER-CQRM’s Program Director coordinating worldwide executive programs and professional accreditations in quantitative methods and risk management and enhancing high-quality teaching across OSL Analytics Academy and among the IIPER Certified Trainers.

πŸ‘¨β€πŸŽ“ He has a Ph.D. in finance and economics, an MBA in business administration, an M.S. in the area of management science, and a BS in applied sciences. He is certified in Financial Risk Management (FRM), Certified in Financial Consulting (CFC), and Certified Quantitative Risk Management (CQRM).

πŸ‘¨β€πŸ« As the software's creator, with more than 12 patents and 10,000 pages of copyrighted materials, he teaches Risk Analysis, Real Options for Analysts, Risk Analysis for Managers, CQRM, and other courses. He has written over 25 books on the topic of risk management. Dr. Mun has consulted many Fortune 500 firms and the U.S. Department of Defence.

πŸ“š He is also a full professor at the U.S. Naval Postgraduate School and has held other adjunct professorships at various universities. In addition, he has published more than 200 academic articles in top well-know peer-review journals.

πŸ‘ResearchGate Profile

"CQRM helps individuals to maximize and update their skills, knowledge, and experience in quantitative methods and risk management, ensuring clear paths to success within their current role and progression to future ones."

MONTE CARLO SIMULATION AND MODEL ANALYTICS

CQRM LEVEL I - Detailed Content

πŸš€MODULE 1: Introduction to Risk Analysis
πŸ“š Chapter 1: Introduction to the Training and What to Expect
πŸ“š Chapter 2: How Are Business Decisions Made?
πŸ“š Chapter 3: What Is Risk and Why Should Risk be Considered?
πŸ“š Chapter 4: Overview of Risk Analysis Software Applications

πŸš€ MODULE 2: Monte Carlo Simulation with Risk Simulator
πŸ“š Chapter 1: Overview of Risk Simulator Software
πŸ“š Chapter 2: Profiling, Assumptions, Forecasts, and Running Simulations
πŸ“š Chapter 3: Interpreting the Forecast Statistics
πŸ“š Chapter 4: Simulation Run Preferences and Seed Values
πŸ“š Chapter 5: Running Reports, Saving and Extracting Simulation Data

πŸš€ MODULE 3: Advanced Simulation Techniques
πŸ“š Chapter 1: Correlating and Truncating Distributions
πŸ“š Chapter 2: Alternate Parameters
πŸ“š Chapter 3: Multidimensional Simulations
πŸ“š Chapter 4: Distributional Fitting
πŸ“š Chapter 5: Due Diligence and Pitfalls in Simulation

πŸš€ MODULE 4: Simulation and Analytical Tools
πŸ“š Chapter 1: Static Tornado and Spider Charts
πŸ“š Chapter 2: Dynamic Sensitivity Analysis and Scenario Analysis
πŸ“š Chapter 3: Hypothesis Test on Different Distributions
πŸ“š Chapter 4: Nonparametric Bootstrap Simulation
CQRM Level 1