The Validation of Risk Models

Sergio Scandizzo is Head of Model Validation at the European Investment Bank (EIB) in Luxembourg. He is the author of Risk and Governance: A Framework for Banking Organisations; The Operational Risk Manager's Guide, now in its second edition, and of Validation and Use Test in AMA. He is Associate Editor of The Journal of Operational Risk and was recognized as one of the "Top 50" Face of Operational Risk by OpRisk & Compliance Magazine. He has published several journal papers on fuzzy logic, genetic algorithms and risk management. Before joining the EIB he was a principal in the London office of PricewaterhouseCoopers and, prior to that, a senior manager in the Operational Risk Group at the Canadian Imperial Bank of Commerce in Toronto. He studied in Italy and the United States and holds master degrees in computer science and finance. His website is www.sergioscandizzo.com.

Introduction A Model Risk Primer Part 1 A Framework for Risk Model Validation Chapter 1 The role of validation in banking governance Chapter 2 Validation from a supervisory perspective Chapter 3 A model validation framework for risk management Part 2 Credit Risk Chapter 4 Probability of default models Chapter 5 Loss Given Default models Chapter 6 Credit Conversion Factor models Part 3 Counterparty Credit Risk Chapter 7 Derivatives valuation models Chapter 8 Expected Future Exposure models Chapter 9 Credit Valuation Adjustment models Part 4 Market risk Chapter 10 Trading market risk models Chapter 11 Hedging and model validation Chapter 12 Interest rate risk on the banking book Part 5 Operational risk Chapter 13 The validation of AMA models Chapter 14 Use test for operational risk Part 6 Validation of Pillar 2 Models Chapter 15 Economic capital models Chapter 16 Stress testing models Conclusion