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Nonlife Actuarial Models: Theory, Methods and Evaluation (International Series on Actuarial Science)

Nonlife Actuarial Models: Theory, Methods and Evaluation (International Series on Actuarial Science)

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Yiu-Kuen Tse
Cambridge University Press
Edition: Illustrated, 9/17/2009
EAN 9780521764650, ISBN10: 0521764653

Hardcover, 542 pages, 23.1 x 15.2 x 3 cm
Language: English
Originally published in English

Actuaries must pass exams, but more than that: they must put knowledge into practice. This coherent book gives complete syllabus coverage for Exam C of the Society of Actuaries (SOA) while emphasizing the concepts and practical application of nonlife actuarial models. Ideal for those approaching their professional exams, it is also a class-tested textbook for undergraduate university courses in actuarial science. All the topics that students need to prepare for Exam C are here, including modeling of losses, risk and ruin theory, credibility theory and applications, and empirical implementation of loss models. The book also covers more recent topics, such as risk measures and bootstrapping. Readers are assumed to have studied statistical inference and probability at the introductory undergraduate level. Numerous examples and exercises are provided, with many exercises adapted from past Exam C questions. Computational notes on the use of Excel are included. Teaching slides are available for download.

Preface
Notation and convention
Part I. Loss Models
1. Claim-frequency distribution
2. Claim-severity distribution
3. Aggregate-loss models
Part II. Risk and Ruin
4. Risk measures
5. Ruin theory
Part III. Credibility
6. Classical credibility
7. Bühlmann credibility
8. Bayesian approach
9. Empirical implementation of credibility
Part IV. Model Construction and Evaluation
10. Model estimation and types of data
11. Nonparametric model estimation
12. Parametric model estimation
13. Model evaluation and selection
14. Basic Monte Carlo methods
15. Applications of Monte Carlo methods
Appendix. Review of statistics
Answers to exercises
References
Index.