Financial Enterprise Risk Management
3rd Edition
Will be published approx. on 31. May 2026
Book
Hardback
630 pages
978-1-009-56555-4 (ISBN)
Description
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 within 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 third edition has been thoroughly revised and updated to reflect new regulations and legislation. It includes additional detail on machine learning, a new section on vine copulas, and significantly expanded information on sustainability. A range of new case studies include Theranos and FTX. Suitable as a course book or for self-study, this book forms part of the core reading for the Institute and Faculty of Actuaries' examination in enterprise risk management.
More details
Series
Edition
3rd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Edition type
Revised edition
Illustrations
Worked examples or Exercises
ISBN-13
978-1-009-56555-4 (9781009565554)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Paul Sweeting is an Honorary Professor of Actuarial Science, and President of the Institute and Faculty of Actuaries. As well as having been a chief risk officer for one of the world's largest social insurance funds, he has worked in pensions, investment and life insurance. Paul is a Fellow of the Institute and Faculty of Actuaries, of the Chartered Institute for Securities and Investment, and of the Royal Statistical Society. He is also a CFA Charterholder and a Chartered Enterprise Risk Actuary.
Content
1. An introduction to enterprise risk management; 2. Types of financial institution; 3. Stakeholders; 4. The internal environment; 5. The external environment; 6. Process overview; 7. Definitions of risk; 8. Risk identification; 9. Some useful statistics; 10. Statistical distributions; 11. Modelling techniques; 12. Extreme value theory; 13. Modelling time series; 14. Quantifying particular risks; 15. Risk assessment; 16. Responses to risk; 17. Continuous considerations; 18. Economic capital; 19. Risk frameworks; 20. Case studies from financial institutions; 21. Further case studies; 22. Solutions to questions; References; Index.