Yiu-Kuen Tse

Nonlife Actuarial Models (eBook, PDF)

• Format: PDF

Produktbeschreibung

Actuaries must pass exams, but more than that: they must put knowledge into practice. This coherent book supports the Society of Actuaries' short-term actuarial mathematics syllabus while emphasizing the concepts and practical application of nonlife actuarial models. A class-tested textbook for undergraduate courses in actuarial science, it is also ideal for those approaching their professional exams. Key topics covered include loss modelling, risk and ruin theory, credibility theory and applications, and empirical implementation of loss models. Revised and updated to reflect curriculum changes, this second edition includes two brand new chapters on loss reserving and ratemaking. R replaces Excel as the computation tool used throughout - the featured R code is available on the book's webpage, as are lecture slides. Numerous examples and exercises are provided, with many questions adapted from past Society of Actuaries exams.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 16. Mai 2023
• Englisch
• ISBN-13: 9781009315081
• Artikelnr.: 68953848

Autorenporträt

Yiu-Kuen Tse is an Emeritus Professor with the Singapore Management University. He has been a Fellow of the Society of Actuaries since 1993. He has published extensively in the areas of financial data analysis and financial risk management, including the book Financial Mathematics for Actuaries (third edition, 2021) which he co-authored with Wai-Sum Chan.

Inhaltsangabe

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
Part V. Loss reserving and ratemaking: 16. Loss reserving
17. Ratemaking
Appendix: review of statistics
Answers to Exercises
References
Index.