Reading outline

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?

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

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

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