This book provides a coherent and readable introduction to quantitative and qualitative enterprise risk management. For risk professionals, undergraduates, and anyone preparing for ERM actuarial exams, it combines an in-depth presentation of key mathematical and statistical methods with abundant real-world cases, worked examples, and exercises.
This book provides a coherent and readable introduction to quantitative and qualitative enterprise risk management. For risk professionals, undergraduates, and anyone preparing for ERM actuarial exams, it combines an in-depth presentation of key mathematical and statistical methods with abundant real-world cases, worked examples, and exercises.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Mary R. Hardy is Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. She is a past Vice President of the Society of Actuaries, and was initiated as a Chartered Enterprise Risk Analyst through the Thought Leadership program. She has a PhD in Actuarial Science from Heriot-Watt University, and is a Fellow of the Society of Actuaries, and of the Institute and Faculty of Actuaries, which awarded her the prestigious Finlaison Medal for service to the profession in 2012. Her past books include Actuarial Mathematics for Life Contingent Risks and Investment Guarantees: Modelling and Risk Management.
Inhaltsangabe
Preface 1. Introduction to enterprise risk management 2. Risk taxonomy 3. Risk measures 4. Frequency-Severity analysis 5. Extreme value theory 6. Copulas 7. Stress testing 8. Market risk models 9. Short term portfolio risk 10. Economic scenario generators 11. Interest rate risk 12. Credit risk 13. Liquidity risk 14. Model risk and governance 15. Risk mitigation using options and derivatives 16. Risk transfer 17. Regulation of financial institutions 18. Risk adjusted measures of profit and capital allocation 19. Behavioural risk management 20. Crisis management A. Probability and statistics review References Index.