The book firmly focuses on practical solutions to modelling issues.

Helps you set up a strong programme with quantification in mind, providing good quality information for modelling, in order to deliver the numbers you need for regulatory approval, and deliver value to your business lines.

Presents many complex topics in a highly accessible manner.

Five comprehensive sections succinctly guide you through the following key topics:

• The AMA framework: Outlines a general approach to constructing an advanced measurement approach framework within your firm - the basis upon which any op risk model is built. It provides essential do's and don'ts as well as step-by step guidance on how best to achieve the goals of your op risk programme. It covers such crucial areas as data selection, granularity, correlation, and diversification.

• Modelling basics: Gets you fluent in the fundamentals of operational risk modelling with discussion of general concepts and an analysis of the main mathematical models regularly used to analyse loss data.

• Modelling challenges: Shows you how models can be adjusted to overcome limitations in the underlying data. It includes practical guidance on loss data capture, the effect of data gaps on parameter estimates, expected and unexpected loss calculations and the use of extreme value theory to help mitigate some of the data problems associated with operational risk modelling. Crucially these complex topics are presented in an accessible manner, with plenty of thorough explanation to help you digest and implement the content.

• Alternative modelling approaches: This section gives you a general framework for thinking about qualitative elements and their role in modelling - including scenario analysis, key risk indicators, and how to overcome the challenges in the modelling of less tangible risks, such as technology risk.

• Comparative views of implementation: To help you gain a broader understanding of how your colleagues around the world are implementing their op risk solutions - the final section contains an overview of an op risk framework at a US bank, plus implementation studies from Spain and Germany. The German study unveils the results of a major industry survey, outlining "real world" practices in financial services firms, including the strengths and shortcomings of firms' approaches to solving key op risk challenges.

CONTENT

SECTION 1: THE AMA FRAMEWORK

1. The Advanced Measurement Approach: Getting it Started

Jeremy Quick

2. Practical Decisions to Successfully Model Operational Risk Capital

Michael Haubenstock and Jeff Hause

SECTION 2: MODELLING BASICS

3. Operational Risk Modelling: Where do we go from here?

Rudi DeKoker

4. Operational Risk Economic Capital Measurement: Mathematical Models for Analyzing Loss Data

Gene Alvarez

SECTION 3: MODELLING CHALLENGES

5. Breaking Ground on the Loss Data Challenge: Wachovia's Approach to Loss Data Capture and Validation

Dee Harris and Tom Longstroth

6. Estimating the Parameters in the Loss Distribution Approach: How can we deal with Truncated Data?

Marco Bee

7. Treatment of Incomplete Data in the Field of Operational Risk: The Effects on Parameter Estimates, EL and UL Figures

Marco Moscadelli , Anna Chernobai , and Svetlozar Rachev

8. Test of Extreme Value Theory Applied to Operational Risk Data

Giulio Mignola and Robert Ugoccioni

SECTION 4: ALTERNATIVE MODELLING APPROACHES

9. Scenario Analysis in Operational Risk Management

Sergio Scandizzo

10. Key Risk Indicators: Their Role in Operational Risk Management and Measurement

Jonathan Davies , Mike Finlay , Tara Lenaghen and Duncan Wilson

11. Quantifying the Operational Risks of Technology

Eric Holmquist

SECTION 5: COMPARATIVE VIEWS OF IMPLEMENTATION

12. Operational Risk: Some Issues in Basel II AMA Implementation in US Financial Institutions

Vanada Rao and Ashish Dev

13. AMA Implementation in Germany: Results of BaFIN's and Bundebank's Industry Survey

Patrik Buchmüller, Marcus Haas, Bernd Rummel, Karsten Stickelmann

14. Operational Risk Management in Financial Institutions: Some Empirical Evidence from Spain

Ana Fernandez Laviada

″As well as modeling approaches, it is good to see that this book focuses on implementation challenges and approaches, with good chapters written by people who have physically implemented AMA approaches. This book provides a good coverage of the risk type and would be a good reader for somebody with little or no background in operational risk modeling, and the Basel requirements around it.″
Richard Norgate, FEN

Ellen Davis is the editor of OpRisk & Compliance magazine, based in London. Previously, she was an editor on Risk magazine, and the editor of AsiaRisk magazine and based in Hong Kong. She originally hails from New York City, where she had a long freelance career during which her work appeared in Treasury & Risk Management, Global Finance, BusinessWeek, CFO magazine, and a number of other financial publications. She holds a BA from Wellesley College and an MBA from New York University. Her first book as editor, Operational Risk: Practical Approaches to Implementation, was published in March 2005. Her second book as editor, The Advanced Measurement Approach to Operational Risk, was published in 2006.