Reading outline
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Part 1: Quantitative risk models
- Chapter 1: Basics of quantitative risk models
- Chapter 2: Usage of statistics in quantitative risk models
- Chapter 3: How can a risk model fail?
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Part 2: Model risk and risk model validation
- Chapter 4: The concepts of model risk and validation
- Chapter 5: Model risk frameworks
- Chapter 6: Validation tools
- Chapter 7: Regulation
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Part 3: Model risk in market risk models
- Chapter 8: Stylized facts and classical approaches
- Chapter 9: Benchmarking with machine learning
- Chapter 10: Extending the risk horizon
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Part 4: Model risk in credit risk models
- Chapter 11: Modeling and simulation
- Chapter 12: Data
- Chapter 13: Model results
- Chapter 14: Impact of machine learning, outlook and conclusions