Operational Risk Modeling in Financial Services : The Exposure, Occurrence, Impact Method

Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Part One Lessons Learned in 10 Years of Practice -- Chapter 1 Creation of the Method -- 1.1 From Artificial Intelligence to Risk Modelling -- 1.2 Model Losses or Risks? -- Chapter 2 Introduction to the XOI Method -- 2.1 A Risk Modelling Doctrine -- 2.2 A Knowledge Management Process -- 2.3 The eXposure, Occurrence, Impact (XOI) Approach -- 2.4 The Return of AI: Bayesian Networks for Risk Assessment -- Chapter 3 Lessons Learned in 10 Years of Practice -- 3.1 Risk and Control Self-Assessment -- 3.2 Loss Data -- 3.3 Quantitative Models -- 3.4 Scenarios Workshops -- 3.5 Correlations -- 3.6 Model Validation -- Part Two Challenges of Operational Risk Measurement -- Chapter 4 Definition and Scope of Operational Risk -- 4.1 On Risk Taxonomies -- 4.2 Definition of Operational Risk -- Chapter 5 The Importance of Operational Risk -- 5.1 The Importance of Losses -- 5.2 The Importance of Operational Risk Capital -- 5.3 Adequacy of Capital to Losses -- Chapter 6 The Need for Measurement -- 6.1 Regulatory Requirements -- 6.2 Nonregulatory Requirements -- Chapter 7 The Challenges of Measurement -- 7.1 Introduction -- 7.2 Measuring Risk or Measuring Risks? -- 7.3 Requirements of a Risk Measurement Method -- 7.4 Risk Measurement Practices -- Part Three The Practice of Operational Risk Management -- Chapter 8 Risk and Control Self-Assessment -- 8.1 Introduction -- 8.2 Risk and Control Identification -- 8.3 Risk and Control Assessment -- Chapter 9 Losses Modelling -- 9.1 Loss Distribution Approach -- 9.2 Loss Regression -- Chapter 10 Scenario Analysis -- 10.1 Scope of Scenario Analysis -- 10.2 Scenario Identification -- 10.3 Scenario Assessment -- Part Four The Exposure, Occurrence, Impact Method -- Chapter 11 An Exposure-Based Model.