Risk Modelling in General Insurance
From Principles to Practice

A wide range of topics give students a firm foundation in statistical and actuarial concepts and their applications.

Roger J. Gray (Author), Susan M. Pitts (Author)

9780521863940, Cambridge University Press

Hardback, published 28 June 2012

410 pages, 45 b/w illus. 30 tables 140 exercises
23.5 x 15.9 x 2.8 cm, 0.77 kg

"A key feature is the inclusion of three detailed case studies that bring together a number of concepts and applications from different parts of the book and illustrate how they are used in practice." -Mathematical reviews

Knowledge of risk models and the assessment of risk is a fundamental part of the training of actuaries and all who are involved in financial, pensions and insurance mathematics. This book provides students and others with a firm foundation in a wide range of statistical and probabilistic methods for the modelling of risk, including short-term risk modelling, model-based pricing, risk-sharing, ruin theory and credibility. It covers much of the international syllabuses for professional actuarial examinations in risk models, but goes into further depth, with worked examples, exercises and detailed case studies. The authors also use the statistical package R to demonstrate how simple code and functions can be used profitably in an actuarial context. The authors' engaging and pragmatic approach, balancing rigour and intuition and developed over many years of teaching the subject, makes this book ideal for self-study or for students taking courses in risk modelling.

Preface
1. Introduction
2. Models for claim numbers and claim sizes
3. Short term risk models
4. Model based pricing – setting premiums
5. Risk sharing – reinsurance and deductibles
6. Ruin theory for the classical risk model
7. Case studies
8. Appendix: utility theory
Answers to exercises
Index.

Subject Areas: Probability & statistics [PBT], Mathematics [PB], Insurance & actuarial studies [KFFN], Finance [KFF]