CQRM LEVEL I ๐ŸŒŽ 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 Laymanโ€™s Terms

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

    5. Quiz 1 โ€“ 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. General Survey | CQRM LEVEL I

    2. Final Evaluation - Monte Carlo Simulation and Model Analytics

About this course

  • ยฃ695.00
  • 28 lessons
  • 6 hours of video content

CQRM LEVEL I

Monte Carlo Simulation Profile

Duration

โฐ 11 Hours, Online

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

CQRML1 Simulation

Meet your CQRM Director

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

๐Ÿ‘จโ€โš–๏ธChairman of OSL Analytics Academy (UK) and CEO of Real Options Valuation (US).

๐Ÿ› Dr Mun is the IIPER-CQRMโ€™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.

๐Ÿ‘จโ€๐ŸŽ“ 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).

๐Ÿ‘จโ€๐Ÿซ 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.

๐Ÿ“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.

๐Ÿ‘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

๐Ÿš€MODULE 1: Introduction to Risk Analysis
๐Ÿ“š Chapter 1: Introduction to the Training and What to Expect
๐Ÿ“š Chapter 2: How Are Business Decisions Made?
๐Ÿ“š Chapter 3: What Is Risk and Why Should Risk be Considered?
๐Ÿ“š Chapter 4: Overview of Risk Analysis Software Applications

๐Ÿš€ MODULE 2: Monte Carlo Simulation with Risk Simulator
๐Ÿ“š Chapter 1: Overview of Risk Simulator Software
๐Ÿ“š Chapter 2: Profiling, Assumptions, Forecasts, and Running Simulations
๐Ÿ“š Chapter 3: Interpreting the Forecast Statistics
๐Ÿ“š Chapter 4: Simulation Run Preferences and Seed Values
๐Ÿ“š Chapter 5: Running Reports, Saving and Extracting Simulation Data

๐Ÿš€ MODULE 3: Advanced Simulation Techniques
๐Ÿ“š Chapter 1: Correlating and Truncating Distributions
๐Ÿ“š Chapter 2: Alternate Parameters
๐Ÿ“š Chapter 3: Multidimensional Simulations
๐Ÿ“š Chapter 4: Distributional Fitting
๐Ÿ“š Chapter 5: Due Diligence and Pitfalls in Simulation

๐Ÿš€ MODULE 4: Simulation and Analytical Tools
๐Ÿ“š Chapter 1: Static Tornado and Spider Charts
๐Ÿ“š Chapter 2: Dynamic Sensitivity Analysis and Scenario Analysis
๐Ÿ“š Chapter 3: Hypothesis Test on Different Distributions
๐Ÿ“š Chapter 4: Nonparametric Bootstrap Simulation
CQRM Level 1

IRM | CQRM Level I Reviews

MOHAMED SELIM AHMED HAFEZ

5 star rating

โ€œAfter completing the Monte Carlo simulation course, I feel equipped to tackle real-world problems with confidence. The ability to simulate multiple scenarios and quantify risk has added a valuable dimension to my skill setโ€

โ€œAfter completing the Monte Carlo simulation course, I feel equipped to tackle real-world problems with confidence. The ability to simulate multiple scenarios and quantify risk has added a valuable dimension to my skill setโ€

โ†’Read Less

Jim Busher

5 star rating

โ€œI enrolled in this Monte Carlo simulation course to enhance my quantitative analysis skills, and it exceeded my expectations. The instructors provide a solid foundation in probability theory and simulation methodsโ€

โ€œI enrolled in this Monte Carlo simulation course to enhance my quantitative analysis skills, and it exceeded my expectations. The instructors provide a solid foundation in probability theory and simulation methodsโ€

โ†’Read Less

Nathanael Sterling

5 star rating

โ€œThis course provides a thorough introduction to Monte Carlo simulation, equipping learners with the skills to tackle complex problems with confidence. The hands-on approach and real-world examples make the concepts easy to grasp.โ€

โ€œThis course provides a thorough introduction to Monte Carlo simulation, equipping learners with the skills to tackle complex problems with confidence. The hands-on approach and real-world examples make the concepts easy to grasp.โ€

โ†’Read Less