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Operational Risk : Measurement And Modelling (Hb)

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ISBN 10: 0471852090 / ISBN 13: 9780471852094
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Title: Operational Risk : Measurement And Modelling...

Binding: Hardcover

Book Condition:New

About this title


Operational risk is emerging as the third leg of an institutional risk strategy for financial institutions. Now recognized as a potential source of financial waste, operational risk has become the subject of surveys, analysis, and the search for a comprehenvise set of definitions and a shared framework. Written by a leading expert on operational risk measurement, this important work puts forth a cradle-to-grave hands-on approach that concentrates on measurement of risk in order to provide the needed feedback for managing and mitigating it. Using both theoretical and practical material, he lays out a foundation theory that can be applied and refined for application in the financial sector and beyond which includes a new technique called Delta-EVT(trademark). This technique is a combination of two existing methods which provides for the complete measurement of operational risk loss. The book contains comprehensive step-by-step descriptions based on real-world examples, formulas and procedures for calculating many common risk measures and building causal models using Bayesian networks, and background for understanding the history and motivation for addressing operational risk.

From the Back Cover:

In this groundbreaking working, Jack L. King, Ph.D. provides the basis for an in-depth understanding of operational risk by focusing on its measurement and modelling. Using both theoretical and practical material, he lays out a foundation theory that can be applied and refined for application in the financial sector and beyond.
Operational Risk: Measurement and Modelling is a comprehensive source for understanding the effects of risk inherent in all operations. This book:
* Provides a set of assumptions, definitions, and methodology for quantifying operational risk
* Uses comprehensive step-by-step descriptions based on real-world examples to demonstrate the application and reinforce key ideas..
* Introduces Delta-EVTTM(TM), a new technique that allows firms to deal with losses resulting from routine errors, control breakdowns, and rare events.
* Relies on causality as the key for identifying operational risk that can be controlled and provides a basis for management action.
* Explains clearly the relation between the risk assessment, process engineering, and statistical loss models.
* Includes and explains in detail the formulas and procedures for calculating many common risk measures and building causal models using Bayesian networks.
"Dr King introduces practical solutions to a subject that is in danger of being drowned in theory."
- Philip Martin, Managing Director, HSBC Operational Risk Consultancy
"Jack King draws together a number of theoretical approaches to present, in a comprehensive yet straightforward manner, a systematic framework that supports the measurement and modelling of operational risk. As such, this book should prove thought provoking and act as an invaluable reference for both practioners and students of the subject alike. A welcome addition to the debate."
- Tim Kent-Phillips, Executive Director, Operations, Lehman Brothers International Europe Ltd.
"Dr King's work shows clearly his first-hand experience in the financial sector and should enable practitioners to do a superb job of building an operational risk measurement system. The in-depth understanding you need to set things up from scratch is contained in this book."
- Dr Gabor Laszlo, vice President, Market Risk Management, J.P. Morgan Chase and Co
"I believe this book makes a very valuable contribution to the ongoing discussion about how operational risk shuld be addressed. Practitioners, regulators and academics will discover useful elements to enhance their conceptual understanding of operational risk, from a perspective of measurement, control and management, as well as how it is linked to the calculation of economic capital requirements."
- Dr Daniel Egloff, Arthur Andersen

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