Validation and Use Test in AMA

As the deadline for implementation approaches, mastering validation is no longer an option, but a must. This new executive report guides you through all the key steps required to validate an AMA approach, with the main objective of obtaining regulatory approval. With analysis and examples of the current methodology and regulation, this best practice guide allows you to benchmark your methods. Furthermore, it provides you with the tools and techniques needed to: - Clearly document your validation process - Explain and justify your modeling choices - Assess the strengths and weaknesses of your models - Anticipate any issues auditors might raise. It concludes with a detailed discussion of the role of the user test, demonstrating how the measurement model is integrated into day-to-day risk management.

Table of Contents:
Preface 1. An Introduction to Model Validation 1.1. Definitions 1.2. Validation policy 1.3. Key components of validation 1.4. Validation of AMA models 2. Risk Measurement Process 2.1. Input validation 2.2. Model validation Appendix A - An input-output model for operational interdependence in a complex organisation. Appendix B - Discrete and continuous probability distributions 3. The AMA Validation Process 3.1. The AMA model 3.2. The validation policy 3.3. The validation report 3.4. Conclusions 4. The User Test 4.1. Not just a compliance exercise 4.2. Maintenance and evolution 4.3. AMA and the management of operational risk 4.4. AMA and the management of the bank: is it adding value? Appendix A - Specimen of model documentation for model validation 5. Conclusions Appendix: An AMA Validation Checklist References Index

About the Author :
Sergio Scandizzo Sergio Scandizzo is the author of The Operational Risk Manager's Guide, now in its second edition, and of Validation and Use Test in AMA, both published by Risk Books. Sergio was also a contributing author to the award-winning Risk Books title Advanced Measurement Approach to Operational Risk, edited by Ellen Davis. He is also Associate Editor of The Journal of Operational Risk and the author of several journal papers on fuzzy logic, genetic algorithms and risk management. Sergio is currently Deputy Advisor at the European Investment Bank (EIB) in Luxembourg. Prior to his position at the EIB he was a principal in the London office of PricewaterhouseCoopers and, prior to that, a senior manager of the Operational Risk Group at the Canadian Imperial Bank of Commerce in Toronto. He holds degrees in computer science and finance.

Review :
Glyn Holton, Contingency Analysis on The Operational Risk Manager's Guide, also by Sergio Scandizzo: "This is the best book on financial risk management I have read in a long time. If you work anywhere in the middle office, read it."