Ten laws of operational risk : understanding its behaviours to improve its management / Michael Grimwade.

By: Grimwade, Michael [author.]
Language: English Publisher: Hoboken, NJ : Wiley, [2022]Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119841357; 9781119841371; 9781119841388; 9781119841364Subject(s): Operational risk | Risk managementGenre/Form: Electronic books.DDC classification: 658.15/5 LOC classification: HD61Online resources: Full text is available at Wiley Online Library Click here to view
Contents:
TABLE OF CONTENTS About the Author x Introduction xii Part 1 Ten Laws of Operational Risk (Grimwade, 2020) 1 Chapter 1 Patterns in the Behaviour of Operational Risk 5 Chapter 2 The Occurrence and Severity of Loss Events 15 Chapter 3 Concentration and Systemic Operational Risk Events (SOREs) 51 Chapter 4 Homeostasis, Risk Transference, Transformation and Conservation, and Active Risk Taking 63 Chapter 5 Three Taxonomies: Inadequacies or Failures, Impacts and Causes 75 Chapter 6 Conclusions – How and Why 97 Part 2 Operational Risk Management Tools Designed for Success 115 Chapter 7 Defining and Cascading Operational Risk Appetites 119 Chapter 8 Risk & Control Self-Assessments 135 Chapter 9 Scenario Analysis 147 Chapter 10 Operational Risk Capital Modelling 165 Chapter 11 Stress Testing 181 Chapter 12 Reverse Stress Testing and the Transfer of Risks via Insurance 211 Chapter 13 Day-to-Day Operational Risk Management 229 Chapter 14 Conclusions 267 Part 3 Predictions of the Future Behaviours of Operational Risk 275 Chapter 15 Identifying Emerging Risks 277 Chapter 16 Predictions of the Future Behaviours of Operational Risk in Response to Four Emerging Threats 283 Part 4 Conclusions 329 Chapter 17 Conclusions and Operational Risk Strategy 331 Appendices Appendix I Taxonomy of Inadequacies or Failures: Events and Control Failures 349 Appendix II Impact Taxonomy and Their Relative Scales and Velocities 359 Appendix III Causal Taxonomy Based Upon a Review of Large, Well-Documented Events 363 Appendix IV Risk Taxonomies for Cybercrime and IT Operational Risks Based on Analysis of Actual Loss Events 369 Glossary 377 Bibliography 381 Index 387
Summary: "Unlike Credit and Market Risk, Operational Risk is lacking an overarching theory as to how and why Operational Risk losses occur. This book not only provides this theory but goes onto apply it both to the redesign of the profession's existing tools and to make predictions as to how Operational Risk will behave in the future. The book is divided into three parts. The first section analyses Operational Risk loss data that has been systematically collected to identify patterns and trends. It then defines Ten Laws to explain these behaviours. The first five laws describe individual events, whilst the remaining five relate to groups of losses suffered by either individual firms or the industry as a whole. This section also includes taxonomies for causes, events and impacts. It concludes by assessing the effectiveness of these laws in explaining the observed patterns and trends. Section 2 applies the Ten Laws to the redesign of the profession's tools. Despite these tools evolving over the last three decades, through trial and error, they remain a source of widespread dissatisfaction. Systematically utilising the Ten Laws resolves many of the framework issues with which practitioners have struggled, such as, identifying predictive Key Risk Indicators. As it is emerging risks that are habitually cited as keeping CROs awake at night, the last section sets out a structured approach for their identification. It then applies the Ten Laws to make systematic predictions as to the future behaviour of Operational Risk in response to four key emerging risks: Pandemics, Climate Change, Cyber-Crime, AI and Machine Learning. The book concludes by considering how the various tools should be integrated into a holistic Operational Risk strategy to provide commercial value by supporting firms to stay within appetite, both now and in the future, grow their businesses both quickly and safely, and meet their stakeholders' expectations"-- Provided by publisher.
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ABOUT THE AUTHOR
Michael Grimwade (London, UK) has worked in Operational Risk Management for over 25 years. He is Head of Operational Risk for Industrial and Commercial Bank of China (ICBC)Standard Bank, and has previously held senior Operational Risk roles at MUFG Securities, RBS and Lloyds TSB. Prior to this, Michael worked for a decade as a management consultant at PwC and Deloitte Consulting, and he has also been a Director of the Institute of Operational Risk.Michael has written a number of articles on setting appetite for Operational Risk; scenario analysis; emerging risks and modelling Operational Risk capital. His book Managing Operational Risk: New Insights and Lessons Learnt was published by RiskBooks in 2016.

Includes bibliographical references and index.

TABLE OF CONTENTS
About the Author x

Introduction xii

Part 1 Ten Laws of Operational Risk (Grimwade, 2020) 1

Chapter 1 Patterns in the Behaviour of Operational Risk 5

Chapter 2 The Occurrence and Severity of Loss Events 15

Chapter 3 Concentration and Systemic Operational Risk Events (SOREs) 51

Chapter 4 Homeostasis, Risk Transference, Transformation and Conservation, and Active Risk Taking 63

Chapter 5 Three Taxonomies: Inadequacies or Failures, Impacts and Causes 75

Chapter 6 Conclusions – How and Why 97

Part 2 Operational Risk Management Tools Designed for Success 115

Chapter 7 Defining and Cascading Operational Risk Appetites 119

Chapter 8 Risk & Control Self-Assessments 135

Chapter 9 Scenario Analysis 147

Chapter 10 Operational Risk Capital Modelling 165

Chapter 11 Stress Testing 181

Chapter 12 Reverse Stress Testing and the Transfer of Risks via Insurance 211

Chapter 13 Day-to-Day Operational Risk Management 229

Chapter 14 Conclusions 267

Part 3 Predictions of the Future Behaviours of Operational Risk 275

Chapter 15 Identifying Emerging Risks 277

Chapter 16 Predictions of the Future Behaviours of Operational Risk in Response to Four Emerging Threats 283

Part 4 Conclusions 329

Chapter 17 Conclusions and Operational Risk Strategy 331

Appendices

Appendix I Taxonomy of Inadequacies or Failures: Events and Control Failures 349

Appendix II Impact Taxonomy and Their Relative Scales and Velocities 359

Appendix III Causal Taxonomy Based Upon a Review of Large, Well-Documented Events 363

Appendix IV Risk Taxonomies for Cybercrime and IT Operational Risks Based on Analysis of Actual Loss Events 369

Glossary 377

Bibliography 381

Index 387

"Unlike Credit and Market Risk, Operational Risk is lacking an overarching theory as to how and why Operational Risk losses occur. This book not only provides this theory but goes onto apply it both to the redesign of the profession's existing tools and to make predictions as to how Operational Risk will behave in the future. The book is divided into three parts. The first section analyses Operational Risk loss data that has been systematically collected to identify patterns and trends. It then defines Ten Laws to explain these behaviours. The first five laws describe individual events, whilst the remaining five relate to groups of losses suffered by either individual firms or the industry as a whole. This section also includes taxonomies for causes, events and impacts. It concludes by assessing the effectiveness of these laws in explaining the observed patterns and trends. Section 2 applies the Ten Laws to the redesign of the profession's tools. Despite these tools evolving over the last three decades, through trial and error, they remain a source of widespread dissatisfaction. Systematically utilising the Ten Laws resolves many of the framework issues with which practitioners have struggled, such as, identifying predictive Key Risk Indicators. As it is emerging risks that are habitually cited as keeping CROs awake at night, the last section sets out a structured approach for their identification. It then applies the Ten Laws to make systematic predictions as to the future behaviour of Operational Risk in response to four key emerging risks: Pandemics, Climate Change, Cyber-Crime, AI and Machine Learning. The book concludes by considering how the various tools should be integrated into a holistic Operational Risk strategy to provide commercial value by supporting firms to stay within appetite, both now and in the future, grow their businesses both quickly and safely, and meet their stakeholders' expectations"-- Provided by publisher.

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