"... Especially now, where from the side of mathematical finance interest is also shown for insurance-related products, a book like this one will definitely be instrumental in communicating the basic mathematical models to non-experts in insurance. I therefore welcome this book for its intended audience." P. Embrechts. Mathematical Reviews, Ann Arbor "... [The book] is useful as a detailed theoretical complement to one of the classical introductory texts on risk theory ...". M. Schweizer. Zentralblatt für Mathematik, Berlin "... The author's goals are clearly proclaimed at the outset, and they are pursued with persistence and integrity. The result is a book which is an integral whole, original in some respects, with interesting contributions. And no errors - not even a single misprint. I recommend it to every tutor of risk theory as a source of mathematically solid proofs and complete explorations of certain aspects of the subject." R. Norberg. Metrika, Heidelberg

Klappentext

Twenty-five years ago, Hans Blihlmann published his famous monograph Mathe­ matical Methods in Risk Theory in the series Grundlehren der Mathematischen Wis8enschaften and thus established nonlife actuarial mathematics as a recognized subject of probability theory and statistics with a glance towards economics. This book was my guide to the subject when I gave my first course on nonlife actuarial mathematics in Summer 1988, but at the same time I tried to incorporate into my lectures parts of the rapidly growing literature in this area which to a large extent was inspired by Blihlmann's book. The present book is entirely devoted to a single topic of risk theory: Its subject is the development in time of a fixed portfolio of risks. The book thus concentrates on the claim number process and its relatives, the claim arrival process, the aggregate claims process, the risk process, and the reserve process. Particular emphasis is laid on characterizations of various classes of claim number processes, which provide alternative criteria for model selection, and on their relation to the trinity of the binomial, Poisson, and negativebinomial distributions. Special attention is also paid to the mixed Poisson process, which is a useful model in many applications, to the problems of thinning, decomposition, and superposition of risk processe8, which are important with regard to reinsurance, and to the role of martingales, which occur in a natural way in canonical situations.

Inhalt

The Claim Arrival Process - The Claim Number Process - The Claim Number Process as a Markov Process - The Mixed Claim Number Process - The Aggregate Claims Process - The Risk Process in Reinsurance - The Reserve Process and the Ruin Problem Appendix: Special Distributions