This is a comprehensive reference source covering the key material on this subject, including both theory and practice. It is aimed at students and experienced reserving practitioners, but also recommended for anyone with an interest in understanding better how general insurers establish one of the most critical items in their accounts - the claims reserves.
This is a comprehensive reference source covering the key material on this subject, including both theory and practice. It is aimed at students and experienced reserving practitioners, but also recommended for anyone with an interest in understanding better how general insurers establish one of the most critical items in their accounts - the claims reserves.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
David Hindley is an actuary who has spent over thirty years specialising in general insurance, during which time he has gained extensive practical experience of claims reserving in the UK and elsewhere. He is currently a Non-Executive Director with a number of general insurance companies. He has been a member of the Council of the Institute of Actuaries and Chair of its General Insurance Board. He is currently a member of the Actuarial Council, part of the UK Financial Reporting Council. He received an Outstanding Contribution award at the UK Actuarial Profession's 2012 General Insurance conference, in recognition of his contribution to General Insurance research.
Inhaltsangabe
1. Introduction; 2. Data; 3. Deterministic reserving methods; 4. Stochastic reserving methods; 5. Reserving in practice; 6. Selected additional reserving topics; 7. Reserving in specific contexts; Appendix A. Mathematical details for mean squared error of prediction; Appendix B. R code used for examples; References; Index.
1. Introduction; 2. Data; 3. Deterministic reserving methods; 4. Stochastic reserving methods; 5. Reserving in practice; 6. Selected additional reserving topics; 7. Reserving in specific contexts; Appendix A. Mathematical details for mean squared error of prediction; Appendix B. R code used for examples; References; Index.
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