Operational risk modeling in financial services the exposure, occurrence, impact method
Transform your approach to oprisk modelling with a proven, non-statistical methodology Operational Risk Modeling in Financial Services provides risk professionals with a forward-looking approach to risk modelling, based on structured management judgement over obsolete statistical methods. Proven ove...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex:
Wiley
2019.
Chichester, West Sussex : 2019. |
| Edición: | First edition |
| Colección: | Wiley finance series.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630421106719 |
Tabla de Contenidos:
- 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.
- 11.1 A Tsunami Is Not an Unexpectedly Big Wave
- 11.2 Using Available Knowledge to Inform Risk Analysis
- 11.3 Structured Scenarios Assessment
- 11.4 The XOI Approach: Exposure, Occurrence, and Impact
- Chapter 12 Introduction to Bayesian Networks
- 12.1 A Bit of History
- 12.2 A Bit of Theory
- 12.3 Influence Diagrams and Decision Theory
- 12.4 Introduction to Inference in Bayesian Networks
- 12.5 Introduction to Learning in Bayesian Networks
- Chapter 13 Bayesian Networks for Risk Measurement
- 13.1 An Example in Car Fleet Management
- Chapter 14 The XOI Methodology
- 14.1 Structure Design
- 14.2 Quantification
- 14.3 Simulation
- Chapter 15 A Scenario in Internal Fraud
- 15.1 Introduction
- 15.2 XOI Modelling
- Chapter 16 A Scenario in Cyber Risk
- 16.1 Definition
- 16.2 XOI Modelling
- Chapter 17 A Scenario in Conduct Risk
- 17.1 Definition
- 17.2 Types of Misconduct
- 17.3 XOI Modelling
- Chapter 18 Aggregation of Scenarios
- 18.1 Introduction
- 18.2 Influence of a Scenario on an Environment Factor
- 18.3 Influence of an Environment Factor on a Scenario
- 18.4 Combining the Influences
- 18.5 Turning the Dependencies into Correlations
- Chapter 19 Applications
- 19.1 Introduction
- 19.2 Regulatory Applications
- 19.3 Risk Management
- Chapter 20 A Step towards "Oprisk Metrics"
- 20.1 Introduction
- 20.2 Building Exposure Units Tables
- 20.3 Sources for Driver Quantification
- 20.4 Conclusion
- Index
- EULA.
