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A comprehensive and innovative look at how to protect financial institutions from operational risks Operational risk is the risk associated with human error, systems failures, and inadequate controls and procedures in information systems or internal controls that will result in an unexpected loss. According to a recent survey, about seventy percent of banks consider operational risk as important as market or credit risks. Nearly a quarter of the same banks admit to operation-related losses of more than $1.6 million-many cases are so embarrassing that banks will not actually admit any error on their part. Firms are just beginning to develop their own operational risk management systems and they need guidance on how to do it. This book will help them identify, measure, and manage their operational risks. Christopher Marshall (Singapore) is Associate Director of the Center for Financial Engineering at the National University of Singapore. He has written numerous articles in Risk magazine and Harvard Business School cases.
This book covers Operational Risk Management (ORM), in the current context, and its new role in the risk management field. The concept of operational risk is subject to a wide discussion also in the field of ORM’s literature, which has increased throughout the years. By analyzing different methodologies that try to integrate qualitative and quantitative data or different measurement approaches, the authors explore the methodological framework, the assumptions, statistical tool, and the main results of an operational risk model projected by intermediaries. A guide for academics and students, the book also discusses the avenue of mitigation acts, suggested by the main results of the methodologies applied. The book will appeal to students, academics, and financial supervisory and regulatory authorities.
"Managing Operational Risk" ist ein maßgeblicher Leitfaden zum Handling des operativen Risikos in Finanzinstituten. Als operatives Risiko bezeichnet man das Risiko für mögliche unerwartete Verluste, die auf Systemfehler, nicht adäquate interne Steuerungs- und Kontrollmechanismen sowie auf menschliches Versagen und höhere Gewalt zurückzuführen sind. Erläutert werden hier alle grundsätzlichen Fragen, angefangen bei einer ausführlichen Definition des Begriffs operatives Risiko, bis hin zu Entwurf und Implementierung anspruchsvoller Riskmanagement-Systeme. Darüber hinaus werden neueste Verfahren zur Erstellung von Computermodellen ebenso erörtert wie führende Methoden zur Integration von Legacy Systemen für die Bewertung und Erfassung operativer Risiken. "Managing Operational Risk" ist ein sachlich-prägnanter Ratgeber zur Bewertung und Minimierung des operativen Risikos. Geschrieben von Douglas Hoffman, einem international führenden Experten auf diesem Gebiet. Mit zahlreichen Fallstudien zu Spitzenfinanzinstitutionen weltweit.
Worldwide banks are keen to find ways of effectively measuring and managing operational risk , yet many find themselves poorly equipped to do this. Operational risk includes concerns about such issues as transaction processing errors, liability situations, and back-office failure. Measuring and Modelling Operational Risk focuses on the measuring and modelling techniques banks and investment companies need to quantify operational risk and provides practical, sensible solutions for doing so. * Author is one of the leading experts in the field of operational risk. * Interest in the field is growing rapidly and this is the only book that focuses on the quantitative measuring and modelling of operational risk. * Includes case vignettes and real-world examples based on the author's extensive experience.
How to apply operational risk theory to real-life banking data Modelling Operational and Reputational Risks shows practitioners the best models to use in a given situation, according to the type of risk an organization is facing. Based on extensive applied research on operational risk models using real bank datasets, it offers a wide range of various testing models and fitting techniques for financial practitioners. With this book, professionals will have a foundation for measuring and predicting these important intangibles. Aldo Soprano (Madrid, Spain) is Group Head of operational risk management at UniCredit Group.
Operational risk is the risk of loss from inadequate or failed internal processes, people, and systems or from external events. This book explores the different types of operational risk that threaten financial institutions, and focuses on practical due-diligence methodologies that can be used to identify these risks before it is too late.
Risk management is one of the biggest issues facing the financial markets today. This volume outlines the major issues for risk management and focuses on operational risk as a key activity in managing risk on an enterprise-wide basis.
OpRisk Awards 2020 Book of the Year Winner! The Authoritative Guide to the Best Practices in Operational Risk Management Operational Risk Management offers a comprehensive guide that contains a review of the most up-to-date and effective operational risk management practices in the financial services industry. The book provides an essential overview of the current methods and best practices applied in financial companies and also contains advanced tools and techniques developed by the most mature firms in the field. The author explores the range of operational risks such as information security, fraud or reputation damage and details how to put in place an effective program based on the four main risk management activities: risk identification, risk assessment, risk mitigation and risk monitoring. The book also examines some specific types of operational risks that rank high on many firms' risk registers. Drawing on the author's extensive experience working with and advising financial companies, Operational Risk Management is written both for those new to the discipline and for experienced operational risk managers who want to strengthen and consolidate their knowledge.