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Table of Contents
Table of Contents
Transform your ability to quantify and manage uncertainty in financial organizations with a structured approach to risk modeling that combines statistical rigor with practical application.
What You Will Learn
- 1 Learn the theoretical foundations of risk modeling including probability distributions and statistical inference.
- 2 Understand market risk measurement techniques such as Value-at-Risk and Expected Shortfall.
- 3 Apply credit risk modeling approaches to estimate default probabilities and loss given default.
- 4 Analyze operational risk using loss distribution and scenario analysis frameworks.
- 5 Implement liquidity risk models and asset-liability management strategies.
- 6 Create an integrated enterprise risk management framework with risk appetite statements.
- 7 Explore regulatory capital requirements under Basel III/IV, IFRS 9, and Solvency II.
- 8 Apply advanced quantitative methods including Monte Carlo simulation and copula models.
- 9 Build risk aggregation and reporting systems with stress testing and scenario analysis.
- 10 Discover emerging risks in climate, cyber, and model risk with AI applications.
What's Included
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Risk Modeling Management