Financial Enterprise Risk Management, Second Edition
- 12h 24m
- Paul Sweeting
- Cambridge University Press
- 2017
This comprehensive, yet accessible, guide to enterprise risk management for financial institutions contains all the tools needed to build and maintain an ERM framework. It discusses the internal and external contexts with which risk management must be carried out, and it covers a range of qualitative and quantitative techniques that can be used to identify, model and measure risks. This new edition has been thoroughly updated to reflect new legislation and the creation of the Financial Conduct Authority and the Prudential Regulation Authority. It includes new content on Bayesian networks, expanded coverage of Basel III, a revised treatment of operational risk and a fully revised index. Over 100 diagrams are used to illustrate the range of approaches available, and risk management issues are highlighted with numerous case studies. This book also forms part of the core reading for the UK actuarial profession's specialist technical examination in enterprise risk management, ST9.
About the Author
PAUL SWEETING is Professor of Actuarial Science at the University of Kent, where he teaches enterprise risk management. His research covers areas as diverse as longevity, pensions accounting and investment strategy. Prior to joining the University of Kent, Professor Sweeting was Head of Research at Legal and General Investment Management and Managing Director at J.P. Morgan Asset Management. Professor Sweeting is a Fellow of the Institute of Actuaries, the Royal Statistical Society and the Chartered Institute for Securities and Investment. He is also a CFA Charterholder and a Chartered Enterprise Risk Actuary. He has written a number of articles on financial issues and is a regular contributor to the written and broadcast media.
In this Book
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An Introduction to Enterprise Risk Management
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Types of Financial Institution
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Stakeholders
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The Internal Environment
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The External Environment
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Process Overview
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Definitions of Risk
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Risk Identification
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Some Useful Statistics
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Statistical Distributions
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Modelling Techniques
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Extreme Value Theory
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Modelling Time Series
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Quantifying Particular Risks
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Risk Assessment
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Responses to Risk
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Continuous Considerations
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Economic Capital
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Risk Frameworks
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Case Studies
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Solutions to Questions
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References
