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A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature--the risks of the models themselves. This book starts from regulatory issues, but translates them into practical suggestions to reduce the likelihood of model losses, basing model risk and validation on market experience and on a wide range of real-world examples, with a high level of detail and precise operative indications.
Book Synopsis Understanding and Managing Model Risk by : Massimo Morini
Download or read book Understanding and Managing Model Risk written by Massimo Morini and published by John Wiley & Sons. This book was released on 2011-10-20 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature--the risks of the models themselves. This book starts from regulatory issues, but translates them into practical suggestions to reduce the likelihood of model losses, basing model risk and validation on market experience and on a wide range of real-world examples, with a high level of detail and precise operative indications.
Get up to speed on identifying and tackling model risk! Managing Model Risk provides data science practitioners, business professionals and analytics managers with a comprehensive guide to understand and tackle the fundamental concept of analytical model risk in terms of data, model specification, model development, model validation, model operationalization, model security and model management. Providing state of the art industry and research insights based on the author''s extensive experience, this illustrated textbook has a well-balanced theory-practice focus and covers all essential topics. Key Features: Extensive coverage of important trending topics and their risk impact on analytical models, starting from the raw data up until the operationalization, security and management. Various examples and case studies to highlight the topics discussed. Key references to background literature for further clarification. An online website with various add-ons and recent developments: www.managingmodelriskbook.com. What Makes this Book Different? This book is based on both authors having worked in analytics for more than 30 years combined, both in industry and academia. Both authors have co-authored more than 300 scientific publications on analytics and machine learning and have worked with firms in different industries, including (online) retailers, financial institutions, manufacturing firms, insurance providers, governments, etc. all over the globe estimating, deploying and validating analytical models. Throughout this time, we have read many books about analytical modeling and data science, which are typically written from the perspective of a theorist, providing lots of details with regards to different model algorithms and related mathematics, but with limited attention being given to how such models are used in practice. If such concerns are tackled, it is mainly from an implementation, use case or data engineering perspective. From our own experience, however, we have encountered many cases where analytics, AI, machine learning etc. fail in organizations, even with skilled people working on them, due to a myriad of reasons: bad data quality, difficulties in terms of model deployment, lack of model buy-in, incorrect definitions of underlying goals, wrong evaluation metrics, unrealistic expectations and many other issues can arise which cause models to fail in practice. Most of these issues have nothing to do with the actual algorithm being used to construct the model, but rather with everything else surrounding it: data, governance, maintenance, business, management, the economy, budgeting, culture etc. As such, we wanted to offer a new perspective with this book: it aims to provide a unique mix of both practical and research-based insights and report on do''s and don''ts for model risk management. Model risk issues are not only highlighted but also recommendations are given on how to deal with them, where possible. Target Audience This book is targeted towards everyone who has previously been exposed to both predictive and descriptive analytics. The reader should hence have some basic understanding of the analytics process model, the key activities of data preprocessing, the steps involved in developing a predictive analytics model (using e.g. linear or logistic regression, decision trees, etc.) and a descriptive analytics model (using e.g. association or sequence rules or clustering techniques). It is also important to be aware of how an analytical model can be properly evaluated, both in terms of accuracy and interpretation. This book aims to offer a comprehensive guide for both data scientists as well as (C-level) executives and data science or engineering leads, decision-makers and managers who want to know the key underlying concepts of analytical model risk.
Book Synopsis Managing Model Risk by : Bart Baesens
Download or read book Managing Model Risk written by Bart Baesens and published by . This book was released on 2021-06-30 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up to speed on identifying and tackling model risk! Managing Model Risk provides data science practitioners, business professionals and analytics managers with a comprehensive guide to understand and tackle the fundamental concept of analytical model risk in terms of data, model specification, model development, model validation, model operationalization, model security and model management. Providing state of the art industry and research insights based on the author''s extensive experience, this illustrated textbook has a well-balanced theory-practice focus and covers all essential topics. Key Features: Extensive coverage of important trending topics and their risk impact on analytical models, starting from the raw data up until the operationalization, security and management. Various examples and case studies to highlight the topics discussed. Key references to background literature for further clarification. An online website with various add-ons and recent developments: www.managingmodelriskbook.com. What Makes this Book Different? This book is based on both authors having worked in analytics for more than 30 years combined, both in industry and academia. Both authors have co-authored more than 300 scientific publications on analytics and machine learning and have worked with firms in different industries, including (online) retailers, financial institutions, manufacturing firms, insurance providers, governments, etc. all over the globe estimating, deploying and validating analytical models. Throughout this time, we have read many books about analytical modeling and data science, which are typically written from the perspective of a theorist, providing lots of details with regards to different model algorithms and related mathematics, but with limited attention being given to how such models are used in practice. If such concerns are tackled, it is mainly from an implementation, use case or data engineering perspective. From our own experience, however, we have encountered many cases where analytics, AI, machine learning etc. fail in organizations, even with skilled people working on them, due to a myriad of reasons: bad data quality, difficulties in terms of model deployment, lack of model buy-in, incorrect definitions of underlying goals, wrong evaluation metrics, unrealistic expectations and many other issues can arise which cause models to fail in practice. Most of these issues have nothing to do with the actual algorithm being used to construct the model, but rather with everything else surrounding it: data, governance, maintenance, business, management, the economy, budgeting, culture etc. As such, we wanted to offer a new perspective with this book: it aims to provide a unique mix of both practical and research-based insights and report on do''s and don''ts for model risk management. Model risk issues are not only highlighted but also recommendations are given on how to deal with them, where possible. Target Audience This book is targeted towards everyone who has previously been exposed to both predictive and descriptive analytics. The reader should hence have some basic understanding of the analytics process model, the key activities of data preprocessing, the steps involved in developing a predictive analytics model (using e.g. linear or logistic regression, decision trees, etc.) and a descriptive analytics model (using e.g. association or sequence rules or clustering techniques). It is also important to be aware of how an analytical model can be properly evaluated, both in terms of accuracy and interpretation. This book aims to offer a comprehensive guide for both data scientists as well as (C-level) executives and data science or engineering leads, decision-makers and managers who want to know the key underlying concepts of analytical model risk.
Despite many years of development, risk management remains problematic for the majority of organizations. One common challenge is the human dimension, in other words, the way people perceive risk and risk management. Risk management processes and techniques are operated by people, each of whom is a complex individual, influenced by many different factors. And the problem is compounded by the fact that most risk management involves people working in groups. This introduces further layers of complexity through relationships and group dynamics. David Hillson's and Ruth Murray-Webster's Understanding and Managing Risk Attitude will help you understand the human aspects of risk management and to manage proactively the influence of human behaviour on the risk process. The authors introduce a range of models, perspectives and examples to define and detail the range of possible risk attitudes; looking both at individuals and groups. Using leading-edge thinking on self-awareness and emotional literacy, they develop a powerful approach to address the most common shortfall in current risk management: the failure to manage the human aspects of the process. All this is presented in a practical and applied framework, rather than as a theoretical or academic treatise, based on the authors' shared experiences and expertise, rather than empirical research. Anyone involved in implementing risk management will benefit from this book, including risk practitioners, senior managers and directors responsible for corporate governance, project managers and their teams. It is also essential reading for HR professionals and others interested in organizational or behavioural psychology. This second edition is updated to strengthen the understanding of individual risk attitudes and reinforce what individuals can do to manage those risk attitudes that are leading them away from their objectives. For people who want to embrace this subject, the book highlights ways forward that are proven and practical.
Book Synopsis Understanding and Managing Risk Attitude by : Dr David Hillson
Download or read book Understanding and Managing Risk Attitude written by Dr David Hillson and published by Gower Publishing, Ltd.. This book was released on 2012-03-01 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite many years of development, risk management remains problematic for the majority of organizations. One common challenge is the human dimension, in other words, the way people perceive risk and risk management. Risk management processes and techniques are operated by people, each of whom is a complex individual, influenced by many different factors. And the problem is compounded by the fact that most risk management involves people working in groups. This introduces further layers of complexity through relationships and group dynamics. David Hillson's and Ruth Murray-Webster's Understanding and Managing Risk Attitude will help you understand the human aspects of risk management and to manage proactively the influence of human behaviour on the risk process. The authors introduce a range of models, perspectives and examples to define and detail the range of possible risk attitudes; looking both at individuals and groups. Using leading-edge thinking on self-awareness and emotional literacy, they develop a powerful approach to address the most common shortfall in current risk management: the failure to manage the human aspects of the process. All this is presented in a practical and applied framework, rather than as a theoretical or academic treatise, based on the authors' shared experiences and expertise, rather than empirical research. Anyone involved in implementing risk management will benefit from this book, including risk practitioners, senior managers and directors responsible for corporate governance, project managers and their teams. It is also essential reading for HR professionals and others interested in organizational or behavioural psychology. This second edition is updated to strengthen the understanding of individual risk attitudes and reinforce what individuals can do to manage those risk attitudes that are leading them away from their objectives. For people who want to embrace this subject, the book highlights ways forward that are proven and practical.
Using the factor analysis of information risk (FAIR) methodology developed over ten years and adopted by corporations worldwide, Measuring and Managing Information Risk provides a proven and credible framework for understanding, measuring, and analyzing information risk of any size or complexity. Intended for organizations that need to either build a risk management program from the ground up or strengthen an existing one, this book provides a unique and fresh perspective on how to do a basic quantitative risk analysis. Covering such key areas as risk theory, risk calculation, scenario modeling, and communicating risk within the organization, Measuring and Managing Information Risk helps managers make better business decisions by understanding their organizational risk. Uses factor analysis of information risk (FAIR) as a methodology for measuring and managing risk in any organization. Carefully balances theory with practical applicability and relevant stories of successful implementation. Includes examples from a wide variety of businesses and situations presented in an accessible writing style.
Book Synopsis Measuring and Managing Information Risk by : Jack Freund
Download or read book Measuring and Managing Information Risk written by Jack Freund and published by Butterworth-Heinemann. This book was released on 2014-08-23 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the factor analysis of information risk (FAIR) methodology developed over ten years and adopted by corporations worldwide, Measuring and Managing Information Risk provides a proven and credible framework for understanding, measuring, and analyzing information risk of any size or complexity. Intended for organizations that need to either build a risk management program from the ground up or strengthen an existing one, this book provides a unique and fresh perspective on how to do a basic quantitative risk analysis. Covering such key areas as risk theory, risk calculation, scenario modeling, and communicating risk within the organization, Measuring and Managing Information Risk helps managers make better business decisions by understanding their organizational risk. Uses factor analysis of information risk (FAIR) as a methodology for measuring and managing risk in any organization. Carefully balances theory with practical applicability and relevant stories of successful implementation. Includes examples from a wide variety of businesses and situations presented in an accessible writing style.
Fundamentals of Risk Management, now in its fourth edition, is a comprehensive introduction to commercial and business risk for students and a broad range of risk professionals. Providing extensive coverage of the core frameworks of business continuity planning, enterprise risk management and project risk management, this is the definitive guide to dealing with the different types of risk an organization faces. With relevant international case examples from both the private and public sectors, this revised edition of Fundamentals of Risk Management is completely aligned to ISO 31000 and provides a full analysis of changes in contemporary risk areas including supply chain, cyber risk, risk culture and improvements in risk management documentation and statutory risk reporting. This new edition of Fundamentals of Risk Management has been fully updated to reflect the development of risk management standards and practice, in particular business continuity standards, regulatory developments, risks to reputation and the business model, changes in enterprise risk management (ERM), loss control and the value of insurance as a risk management method. Also including a thorough overview of the international risk management standards and frameworks, strategy and policy, this book is the definitive professional text for risk managers.
Book Synopsis Fundamentals of Risk Management by : Paul Hopkin
Download or read book Fundamentals of Risk Management written by Paul Hopkin and published by Kogan Page Publishers. This book was released on 2017-01-03 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Risk Management, now in its fourth edition, is a comprehensive introduction to commercial and business risk for students and a broad range of risk professionals. Providing extensive coverage of the core frameworks of business continuity planning, enterprise risk management and project risk management, this is the definitive guide to dealing with the different types of risk an organization faces. With relevant international case examples from both the private and public sectors, this revised edition of Fundamentals of Risk Management is completely aligned to ISO 31000 and provides a full analysis of changes in contemporary risk areas including supply chain, cyber risk, risk culture and improvements in risk management documentation and statutory risk reporting. This new edition of Fundamentals of Risk Management has been fully updated to reflect the development of risk management standards and practice, in particular business continuity standards, regulatory developments, risks to reputation and the business model, changes in enterprise risk management (ERM), loss control and the value of insurance as a risk management method. Also including a thorough overview of the international risk management standards and frameworks, strategy and policy, this book is the definitive professional text for risk managers.
Sound risk management often involves a combination of both mathematical and practical aspects. Taking this into account, Understanding Risk: The Theory and Practice of Financial Risk Management explains how to understand financial risk and how the severity and frequency of losses can be controlled. It combines a quantitative approach with a
Book Synopsis Understanding Risk by : David Murphy
Download or read book Understanding Risk written by David Murphy and published by CRC Press. This book was released on 2008-04-23 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sound risk management often involves a combination of both mathematical and practical aspects. Taking this into account, Understanding Risk: The Theory and Practice of Financial Risk Management explains how to understand financial risk and how the severity and frequency of losses can be controlled. It combines a quantitative approach with a
CONSTRUCTION RISK MANAGEMENT DECISION MAKING Explores the relevance of systems thinking and behavioral science in construction risk management Effective risk management is a vital component of all successful construction projects. Although quantitative tools for evaluating data and minimizing risk are readily available, construction managers commonly adopt a more innate, experience-based approach. In Construction Risk Management Decision Making, project manager and senior consultant Alex C. Arthur provides step-by-step advice on assessing and prioritizing risk using qualitative decision-making systems in the construction industry. Incorporating key theories and concepts from systems thinking and behavioral science, this highly practical guide focuses on the behavior patterns of real people in the industry, rather than complex quantitative techniques and data. Concise, easy-to-understand chapters highlight the current practices of construction risk management while helping readers view risk and decision making from a broader perspective. Throughout the book, the author presents invaluable insights into the ways construction professionals think and behave in the real world. Addresses the actual risk management practices of construction professionals Applies human behavioral theories to the study of construction risk management decision making Illustrates the highly intuitive approaches prevalent in various construction projects Features real-life case studies and practical examples throughout Construction Risk Management Decision Making is an excellent textbook for advanced students in project management, engineering, construction, and surveying courses, and a must-have guide for practitioners of construction management, surveying, and architecture.
Book Synopsis Construction Risk Management Decision Making by : Alex C. Arthur
Download or read book Construction Risk Management Decision Making written by Alex C. Arthur and published by John Wiley & Sons. This book was released on 2021-12-13 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: CONSTRUCTION RISK MANAGEMENT DECISION MAKING Explores the relevance of systems thinking and behavioral science in construction risk management Effective risk management is a vital component of all successful construction projects. Although quantitative tools for evaluating data and minimizing risk are readily available, construction managers commonly adopt a more innate, experience-based approach. In Construction Risk Management Decision Making, project manager and senior consultant Alex C. Arthur provides step-by-step advice on assessing and prioritizing risk using qualitative decision-making systems in the construction industry. Incorporating key theories and concepts from systems thinking and behavioral science, this highly practical guide focuses on the behavior patterns of real people in the industry, rather than complex quantitative techniques and data. Concise, easy-to-understand chapters highlight the current practices of construction risk management while helping readers view risk and decision making from a broader perspective. Throughout the book, the author presents invaluable insights into the ways construction professionals think and behave in the real world. Addresses the actual risk management practices of construction professionals Applies human behavioral theories to the study of construction risk management decision making Illustrates the highly intuitive approaches prevalent in various construction projects Features real-life case studies and practical examples throughout Construction Risk Management Decision Making is an excellent textbook for advanced students in project management, engineering, construction, and surveying courses, and a must-have guide for practitioners of construction management, surveying, and architecture.
Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises, with solutions provided online at www.crcpress.com/9781138501874
Book Synopsis Handbook of Financial Risk Management by : Thierry Roncalli
Download or read book Handbook of Financial Risk Management written by Thierry Roncalli and published by CRC Press. This book was released on 2020-04-23 with total page 987 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises, with solutions provided online at www.crcpress.com/9781138501874
Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities or risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk we face, as well as the techniques used to measure and manage them. Topics covered include: Market risk, from Value-at-Risk (VaR) to risk models for options Credit risk, from portfolio credit risk to structured credit products Model risk and validation Risk capital and stress testing Liquidity risk, leverage, systemic risk, and the forms they take Financial crises, historical and current, their causes and characteristics Financial regulation and its evolution in the wake of the global crisis And much more Combining the more model-oriented approach of risk management-as it has evolved over the past two decades-with an economist's approach to the same issues, Financial Risk Management is the essential guide to the subject for today's complex world.
Book Synopsis Financial Risk Management by : Allan M. Malz
Download or read book Financial Risk Management written by Allan M. Malz and published by John Wiley & Sons. This book was released on 2011-09-13 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities or risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk we face, as well as the techniques used to measure and manage them. Topics covered include: Market risk, from Value-at-Risk (VaR) to risk models for options Credit risk, from portfolio credit risk to structured credit products Model risk and validation Risk capital and stress testing Liquidity risk, leverage, systemic risk, and the forms they take Financial crises, historical and current, their causes and characteristics Financial regulation and its evolution in the wake of the global crisis And much more Combining the more model-oriented approach of risk management-as it has evolved over the past two decades-with an economist's approach to the same issues, Financial Risk Management is the essential guide to the subject for today's complex world.
TEN LAWS OF OPERATIONAL RISK Unlike credit and market risk, operational risk currently lacks an overarching theory to explain how and why losses occur. As a result, operational risk managers have been forced to use unsatisfactory tools and processes that fail to add sufficient commercial value. In Ten Laws of Operational Risk: Understanding its Behaviours to Improve its Management, Michael Grimwade delivers an insightful discussion of the nature of operational risk and a groundbreaking redesign of the profession???s existing tools. The author???s Ten Laws are grounded on the business profiles of firms and the human and institutional behaviours that drive operational risk. They are underpinned by taxonomies for the causes; the inadequacies or failures that constitute both control failures and events; and the impacts of operational risks. Drawing on twenty-five years of first-hand experience and research, this book explains the patterns and trends that are apparent in the historical data and offers solutions to the persistent problems inherent in risk appetite, RCSAs, scenario analysis, reputational risk, stress testing, capital modeling, and insurance. It also provides fresh insights into the everyday activities of risk managers with respect to predictive key risk and control indicators, root cause analysis, why controls fail, the risks posed by change, and product risk profiles. Ten Laws of Operational Risk presents a structured and evidence-based approach to identifying emerging risks and predicting future behaviours related to pandemics, climate change, cybercrime, artificial intelligence, and machine learning. It includes revealing industry data, in-depth case studies, and real-world examples that shed light on recurring and obstinate problems in operational risk management. A must-read resource for Chief Risk Officers and other risk professionals, as well as regulators, management consultants, and students and scholars of operational risk, Ten Laws of Operational Risk provides an invaluable new, systematic, and rigorous approach to operational risk management. PRAISE FOR TEN LAWS OF OPERATIONAL RISK ???Operational Risk can no longer be described as a new concept, but as a discipline few attempts have been made to really understand its behaviour. In his book Michael does this very successfully, blending extensive practical experience with analytical thought leadership to propose a set of laws that explain why and how Operational Risks arise, and what can be done to manage them. Assertions are evidence based, with numerous real examples used to underpin his hypotheses. This is a valuable addition to Operational Risk thinking and is recommended for experienced professionals and novices alike.??? ??? Dr Luke Carrivick, Director of Research & Information, ORX ???Michael has established himself as one of Operational Risk???s foremost thinkers. His ability to use historical data to analyse events is unrivalled. In this must-read book, he identifies ten fundamental laws that provide every Operational Risk practitioner with a clear set of rules they can use to understand current events and predict their impacts.??? ??? Andrew Sheen, former Head of the FSA???s Operational Risk Review team ???Michael is one of the most prominent thinkers in Operational Risk. He combines a long career in Operational Risk management and measurement with a deep, long-standing reflection on the fundamental causes, dynamics and patterns in the manifestation of Operational Risk events. He produces, with this book, a remarkable synthesis of his insightful and innovative work.??? ??? Dr Ariane Chapelle, Honorary Reader, University College London; Managing Partner, Chapelle Consulting ???Michael is a highly respected expert in the field of Operational Risk, who has developed some ground-breaking frameworks for analysing this risk and guiding better risk management decisions. As a working practitioner in the field he brings many insights that will appeal to other practitioners as well as regulators, students and scholars.??? ??? Professor Elizabeth Sheedy, Macquarie Business School ???Michael???s views and analysis challenge the traditional Basel II views of Operational Risk and are genuinely thought-provoking. His book on the Ten Laws of Operational Risk will give financial services clarity and a practical view, where it has been previously lacking, on how best to manage such risks.??? ??? Tin Lau, Group Head of Financial and Strategic Risk, TP ICAP
Book Synopsis Ten Laws of Operational Risk by : Michael Grimwade
Download or read book Ten Laws of Operational Risk written by Michael Grimwade and published by John Wiley & Sons. This book was released on 2022-01-04 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: TEN LAWS OF OPERATIONAL RISK Unlike credit and market risk, operational risk currently lacks an overarching theory to explain how and why losses occur. As a result, operational risk managers have been forced to use unsatisfactory tools and processes that fail to add sufficient commercial value. In Ten Laws of Operational Risk: Understanding its Behaviours to Improve its Management, Michael Grimwade delivers an insightful discussion of the nature of operational risk and a groundbreaking redesign of the profession???s existing tools. The author???s Ten Laws are grounded on the business profiles of firms and the human and institutional behaviours that drive operational risk. They are underpinned by taxonomies for the causes; the inadequacies or failures that constitute both control failures and events; and the impacts of operational risks. Drawing on twenty-five years of first-hand experience and research, this book explains the patterns and trends that are apparent in the historical data and offers solutions to the persistent problems inherent in risk appetite, RCSAs, scenario analysis, reputational risk, stress testing, capital modeling, and insurance. It also provides fresh insights into the everyday activities of risk managers with respect to predictive key risk and control indicators, root cause analysis, why controls fail, the risks posed by change, and product risk profiles. Ten Laws of Operational Risk presents a structured and evidence-based approach to identifying emerging risks and predicting future behaviours related to pandemics, climate change, cybercrime, artificial intelligence, and machine learning. It includes revealing industry data, in-depth case studies, and real-world examples that shed light on recurring and obstinate problems in operational risk management. A must-read resource for Chief Risk Officers and other risk professionals, as well as regulators, management consultants, and students and scholars of operational risk, Ten Laws of Operational Risk provides an invaluable new, systematic, and rigorous approach to operational risk management. PRAISE FOR TEN LAWS OF OPERATIONAL RISK ???Operational Risk can no longer be described as a new concept, but as a discipline few attempts have been made to really understand its behaviour. In his book Michael does this very successfully, blending extensive practical experience with analytical thought leadership to propose a set of laws that explain why and how Operational Risks arise, and what can be done to manage them. Assertions are evidence based, with numerous real examples used to underpin his hypotheses. This is a valuable addition to Operational Risk thinking and is recommended for experienced professionals and novices alike.??? ??? Dr Luke Carrivick, Director of Research & Information, ORX ???Michael has established himself as one of Operational Risk???s foremost thinkers. His ability to use historical data to analyse events is unrivalled. In this must-read book, he identifies ten fundamental laws that provide every Operational Risk practitioner with a clear set of rules they can use to understand current events and predict their impacts.??? ??? Andrew Sheen, former Head of the FSA???s Operational Risk Review team ???Michael is one of the most prominent thinkers in Operational Risk. He combines a long career in Operational Risk management and measurement with a deep, long-standing reflection on the fundamental causes, dynamics and patterns in the manifestation of Operational Risk events. He produces, with this book, a remarkable synthesis of his insightful and innovative work.??? ??? Dr Ariane Chapelle, Honorary Reader, University College London; Managing Partner, Chapelle Consulting ???Michael is a highly respected expert in the field of Operational Risk, who has developed some ground-breaking frameworks for analysing this risk and guiding better risk management decisions. As a working practitioner in the field he brings many insights that will appeal to other practitioners as well as regulators, students and scholars.??? ??? Professor Elizabeth Sheedy, Macquarie Business School ???Michael???s views and analysis challenge the traditional Basel II views of Operational Risk and are genuinely thought-provoking. His book on the Ten Laws of Operational Risk will give financial services clarity and a practical view, where it has been previously lacking, on how best to manage such risks.??? ??? Tin Lau, Group Head of Financial and Strategic Risk, TP ICAP