Risk Modelling in General Insurance
From Principles to Practice
Seiten
2012
Cambridge University Press (Verlag)
978-0-521-86394-0 (ISBN)
Cambridge University Press (Verlag)
978-0-521-86394-0 (ISBN)
This book presents a wide range of statistical and probabilistic topics to give students a firm foundation in actuarial concepts and their applications. It covers much of the international syllabuses for professional actuarial examinations in risk models, but goes much further with detailed case studies, exercises and help using R.
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.
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.
Roger J. Gray was a Senior Lecturer in the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh until his death in 2011. Susan M. Pitts is a Senior Lecturer in the Statistical Laboratory at the University of Cambridge.
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.
| Reihe/Serie | International Series on Actuarial Science |
|---|---|
| Zusatzinfo | Worked examples or Exercises; 30 Tables, black and white; 45 Line drawings, unspecified |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 159 x 235 mm |
| Gewicht | 770 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| Betriebswirtschaft / Management ► Spezielle Betriebswirtschaftslehre ► Versicherungsbetriebslehre | |
| ISBN-10 | 0-521-86394-5 / 0521863945 |
| ISBN-13 | 978-0-521-86394-0 / 9780521863940 |
| Zustand | Neuware |
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