## 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*