CQRM LEVEL I 🌎 Certification Program

Course Curriculum

  • 01

    CQRM LEVEL I: PROGRAM DIRECTOR'S ADDRESS

  • 02

    UNIT 1: INTRODUCTION TO ADVANCED ANALYTICS AND SOFTWARE SUPPORT

    • A Quick Note

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

    • UNIT 1 - CQRM Support Material - General Overview and Preparation

    • Course Introduction and CQRM-IIPER Overview (23 min)

    • Getting Started - Risk Simulator Support

    • Introduction to Risk Simulator (45 min)

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

    • Quiz 2 - UNIT 1 - CQRM LEVEL I
  • 03

    UNIT 2: MONTE CARLO SIMULATION

    • UNIT 2 - CQRM Support Material - General Overview and Preparation

    • Monte Carlo Simulation Theory (20 min)

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

    • Quick Overview of Probability Distributions

    • Quiz 3 - UNIT 2 - CQRM LEVEL I
  • 04

    UNIT 3: DISTRIBUTIONAL MOMENTS AND CORRELATION

    • UNIT 3 - CQRM Support Material - General Overview and Preparation

    • Distributional Moments and Statistics Summary (25 min)

    • Linear and Nonlinear Correlations with Correlated Simulation (20 min)

    • Quiz 4 - UNIT 3 - CQRM LEVEL I
  • 05

    UNIT 4: DATA ANALYTICS

    • UNIT 4 - CQRM Support Material - General Overview and Preparation

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

    • Bootstrapping, Multidimensional Simulation, Correlation, Precision (30 min)

    • Quiz 5 - UNIT 4 - CQRM LEVEL I
  • 06

    FINAL EVALUATION - CQRM LEVEL I

    • Final Evaluation - Monte Carlo Simulation and Model Analytics

    • General Survey | CQRM LEVEL I

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.

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CQRM Level 1

Meet your CQRM Director

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

👨‍⚖️Chairman of OSL Analytics Academy (UK) and CEO of Real Options Valuation (US).

🏛 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.

👨‍🎓 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).

👨‍🏫 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.

📚 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.

👍ResearchGate Profile
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"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."

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MONTE CARLO SIMULATION AND MODEL ANALYTICS

CQRM LEVEL I - Detailed Content

🚀 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
CQRM Level 1