Operational Risk Modeling in Financial Services

Operational Risk Modeling in Financial Services

Operational Risk Modeling in Financial Services

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.

Operational Risk Modeling in Financial Services

Operational Risk Modeling in Financial Services

Operational Risk Modeling in Financial Services

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.

Managing Operational Risk

Managing Operational Risk

Managing Operational Risk

Published in association with the Global Association of Risk Professionals As e-commerce and globalization continue to expand, so does the level of operational risk, increasing the need for guidance on how to measure and manage it. This is the definitive guide to managing operational risk in financial institutions. Written in a concise, no-nonsense style, and containing numerous real-life case studies, it covers all the bases from the basics of what operational risk is to how to design and implement sophisticated operational risk management systems. Readers will appreciate the up-to-the-minute coverage of the latest techniques and practices to manage operational risk. They will learn how to enhance their positions in the face of anticipated new regulatory standards and capital requirements. Douglas G. Hoffman (Fairfield, CT) is an independent consultant in operational risk management. His firm, Operational Risk Advisors, provides executive training and assists financial institutions and corporate clients worldwide in operational risk analysis and mitigation.

Operational Risk Management

Operational Risk Management

Operational Risk Management

A best practices guide to all of the elements of an effective operational risk framework While many organizations know how important operational risks are, they still continue to struggle with the best ways to identify and manage them. Organizations of all sizes and in all industries need best practices for identifying and managing key operational risks, if they intend on exceling in today's dynamic environment. Operational Risk Management fills this need by providing both the new and experienced operational risk professional with all of the tools and best practices needed to implement a successful operational risk framework. It also provides real-life examples of successful methods and tools you can use while facing the cultural challenges that are prevalent in this field. Contains informative post-mortems on some of the most notorious operational risk events of our time Explores the future of operational risk in the current regulatory environment Written by a recognized global expert on operational risk An effective operational risk framework is essential for today's organizations. This book will put you in a better position to develop one and use it to identify, assess, control, and mitigate any potential risks of this nature.

Modelling Operational Risk Using Bayesian Inference

Modelling Operational Risk Using Bayesian Inference

Modelling Operational Risk Using Bayesian Inference

The management of operational risk in the banking industry has undergone explosive changes over the last decade due to substantial changes in the operational environment. Globalization, deregulation, the use of complex financial products, and changes in information technology have resulted in exposure to new risks which are very different from market and credit risks. In response, the Basel Committee on Banking Supervision has developed a new regulatory framework for capital measurement and standards for the banking sector. This has formally defined operational risk and introduced corresponding capital requirements. Many banks are undertaking quantitative modelling of operational risk using the Loss Distribution Approach (LDA) based on statistical quantification of the frequency and severity of operational risk losses. There are a number of unresolved methodological challenges in the LDA implementation. Overall, the area of quantitative operational risk is very new and different methods are under hot debate. This book is devoted to quantitative issues in LDA. In particular, the use of Bayesian inference is the main focus. Though it is very new in this area, the Bayesian approach is well suited for modelling operational risk, as it allows for a consistent and convenient statistical framework for quantifying the uncertainties involved. It also allows for the combination of expert opinion with historical internal and external data in estimation procedures. These are critical, especially for low-frequency/high-impact operational risks. This book is aimed at practitioners in risk management, academic researchers in financial mathematics, banking industry regulators and advanced graduate students in the area. It is a must-read for anyone who works, teaches or does research in the area of financial risk.

The Validation of Risk Models

The Validation of Risk Models

The Validation of Risk Models

This book is a one-stop-shop reference for risk management practitioners involved in the validation of risk models. It is a comprehensive manual about the tools, techniques and processes to be followed, focused on all the models that are relevant in the capital requirements and supervisory review of large international banks.

The Operational Risk Handbook for Financial Companies

The Operational Risk Handbook for Financial Companies

The Operational Risk Handbook for Financial Companies

The Operational Risk Handbook for Financial Companies is a groundbreaking new book. It seeks to apply for the first time a range of proven operational risk techniques from other industries and disciplines to the troubled territory of financial services. Operational risk expert Brian Barnier introduces a range of sophisticated, dependable and - crucially - approachable tools for risk evaluation, risk response and risk governance. He provides a more robust way of gaining a better picture of risks, shows how to build risk-return awareness into decision making, and how to fix (and not just report) risks. The practical importance of fully understanding and acting on risk to the business begins in the foreword on plan-B thinking, penned by Marshall Carter, chairman of the NYSE and deputy chairman of NYSE Euronext. The book is unique because: - It is not just about modeling and a few basic tools derived from regulatory requirements. Instead, it looks at management of risk to operations across industries, professional disciplines and history to help ops risk leaders become aware of the entire landscape of proven experience, not just their own conference room. - It is not just about compliance. Instead, it looks to operations as part of performance - managing risk to return for shareholders and other interests (e.g. guarantee funds). - It is not content to look at risk in stand-alone segments or silos; instead it takes a systems approach. - It is not just about ops risk leaders sharing war stories at a conference. Instead, it introduces a panel of six financial institution board members who get risk management and provide their perspectives throughout the book to encourage/demand more from ops risk to meet the needs of the institution in the world. - It is not a semi-random collection of tips and tricks. Instead, it is grounded in a risk-management process flow tailored to financial companies from a range of proven experience, providing tools to help at each step. Suitable for companies of all sizes, this book is of direct relevance and use to all business managers, practitioners, boards and senior executives. Key insights from and for each are built into every chapter, including unique contributions from board members of a range of companies. The Operational Risk Handbook for Financial Companies is an essential book for making better decisions at every level of a financial company; ones that measurably improve outcomes for boards, managers, employees and shareholders alike.

Operational Risk Management in Financial Services

Operational Risk Management in Financial Services

Operational Risk Management in Financial Services

Banking is at the forefront of the effort to quantify and measure operational risk and as such can be role model beyond the financial services industry. The Basel Committee of the Bank for International Settlements (BIS) has created a new capital accord, known as Basel II. Basel II requires banks to establish an operational risk management (ORM) framework and compute an explicit capital charge for operational risk once it is adopted. This chapter from Goverance, Risk, and Compliance Handbook, by Anthony Tarantino, outlines different approaches, tools, and guidance on operational risk management for financial services companies.

Financial Risk Management for Islamic Banking and Finance

Financial Risk Management for Islamic Banking and Finance

Financial Risk Management for Islamic Banking and Finance

Financial institutions are increasingly providing Islamic financial contracts in global markets. As a result of this market growth there is a high demand to understand how to assess and manage the risks arising from applying Islamic financial products and services. Credit, operational, market and liquidity risks together with the risk of non compliance with the Shariah law are becoming very hot issues for financial institutions. This book presents a common framework on how to efficiently manage the risks faced.

Operational Risk Toward Basel III

Operational Risk Toward Basel III

Operational Risk Toward Basel III

This book consists of chapters by contributors (well-known professors, practitioners, and consultants from large and well respected money management firms within this area) offering the latest research in the OpRisk area. The chapters highlight how operational risk helps firms survive and prosper by givingreaders the latest, cutting-edge techniques in OpRisk management. Topics discussed include: Basel Accord II, getting ready for the New Basel III, Extreme Value Theory, the new capital requirements and regulations in the banking sector in relation to financial reporting (including developing concepts such as OpRisk Insurance which wasn't a part of the Basel II framework). The book further discussed quantitative and qualitative aspects of OpRisk, as well as fraud and applications to the fund industry.