Managing Operational Risk In Financial Markets

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.

"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.

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.

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.

Dealing with all aspects of risk management that have undergone significant innovation in recent years, this book aims at being a reference work in its field. Different to other books on the topic, it addresses the challenges and opportunities facing the different risk management types in banks, insurance companies, and the corporate sector. Due to the rising volatility in the financial markets as well as political and operational risks affecting the business sector in general, capital adequacy rules are equally important for non-financial companies. For the banking sector, the book emphasizes the modifications implied by the Basel II proposal. The volume has been written for academics as well as practitioners, in particular finance specialists. It is unique in bringing together such a wide array of experts and correspondingly offers a complete coverage of recent developments in risk management.

All investments carry with them some degree of risk. In the financial world, individuals, professional money managers, financial institutions and many others encounter and must deal with risk. The main purpose of 'Investment Risk Management' is to provide an overview of developments in risk management and a synthesis of research involving the latest developments in the field--

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 over a decade’s use in significant banks and financial services firms in Europe and the US, the Exposure, Occurrence, Impact (XOI) method of operational risk modelling played an instrumental role in reshaping their oprisk modelling approaches; in this book, the expert team that developed this methodology offers practical, in-depth guidance on XOI use and applications for a variety of major risks. The Basel Committee has dismissed statistical approaches to risk modelling, leaving regulators and practitioners searching for the next generation of oprisk quantification. The XOI method is ideally suited to fulfil this need, as a calculated, coordinated, consistent approach designed to bridge the gap between risk quantification and risk management. This book details the XOI framework and provides essential guidance for practitioners looking to change the oprisk modelling paradigm. Survey the range of current practices in operational risk analysis and modelling Track recent regulatory trends including capital modelling, stress testing and more Understand the XOI oprisk modelling method, and transition away from statistical approaches Apply XOI to major operational risks, such as disasters, fraud, conduct, legal and cyber risk The financial services industry is in dire need of a new standard — a proven, transformational approach to operational risk that eliminates or mitigates the common issues with traditional approaches. Operational Risk Modeling in Financial Services provides practical, real-world guidance toward a more reliable methodology, shifting the conversation toward the future with a new kind of oprisk modelling.