Certified in Quantitative Risk Management - CQRM
The IIPER-CQRM is an international certification awarded by the IIPER
IIPER-CQRM certification is accredited by the US National Certification Commission in collaboration with many international organizations.
It is aimed at managers, directors, professionals, analysts, and scholars interested in acquiring up-to-date and practical knowledge in risk management from a quantitative approach to measure risk and make informed decisions.
The IIPER is a member of the AACSB (Association for the Advancement of Collegiate Schools of Business), one of the largest accreditation agencies of business schools worldwide.
The CQRM can be taken online or face-to-face, in-company or at accreditation centres. Prof. Dr. Johnathan Mun and other global experts teach advanced topics and practical applications of risk management. Upon completion, a validation of knowledge (final exam) will be conducted to obtain the professional CQRM designation.
By participating in the certification, attendees will have elements to analyse and interpret data for risk measurement, understand the results obtained and suggest and make decisions based on the Monte Carlo risk simulations, statistics and econometric analysis, optimization, and real options applicable to their projects or investments.
Why attend this certification?
- To be certified internationally as a Quantitative Risk Manager (CQRM-IIPER).
- The opportunity to learn from world experts who have outstanding credentials and extensive practical experience.
- Understand how to make more informed decisions in times of uncertainty and achieve better business outcomes.
- Learn about the latest theoretical approaches and practical applications for risk analysis and management.
- Update and immerse yourself in techniques that allow you to understand the past and the present and more accurately forecast the future.
- To model industry-specific problems and implement risk analysis using Risk Simulator, Real Options SLS, and PEAT tools, capable of analysing large volumes of information and working with the latest implementation of risk management analytics.
Topics & Framework
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
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
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
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
Chapter 1: Introduction to Optimisation
Chapter 2: Continuous Optimisation
Chapter 3: Integer Optimisation
Chapter 1: Overview of Forecasting Techniques and Data Types
Chapter 2: Forecasting Without Data
Chapter 3: Time-Series Analysis Forecasting
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
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
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…
CQRM REVIEW FOR THE EXAMINATION
Project Management Institute (PMI):
30 PDU Credits for PMP Certification Holders; Certified PfMP, PgMP, PMI-ACP, PMI-PBA, PMI-SP, and RMP are awarded 30 Credits
Institute of Chartered Financial Analysts (ICFA):
39 Continuing Education CE Credits.
Energy Institute (EI):
30 points for Continuing Professional Development.
American Institute of CPA (AICPA):
Specialized Knowledge Area Group Live for 39 CPE Credits.
Institution of Chemical Engineers (IChemE):
30 credits for Continuous Professional Development.
Institute of Risk Management (IRM):
30 credits for Continuous Professional Development.
The CQRM-IIPER is approved by the Project Management Institute (PMI) and other professional bodies where participants can obtain between 30 to 45 PDUs, CPDs and CEs (continuing education credits) for the CQRM training and obtaining their certification.
"Unleash your Potential in Quantitative Risk Management, Strategic Real Options and Decision Analytics.