Stochastic Processes for Insurance and Finance

The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.
Stochastic Processes for Insurance and Finance
Tomaz Rolski
Mathematical Institute, University of Wroclaw, Poland
Hanspeter Schmidli
Department of Theoretical Statistics, Aarhus University, Denmark
Volker Schmidt
Faculty of Mathematics and Economics, University of Ulm, Germany
Jozef Teugels
Department of Mathematics, Catholic University of Leuven, Belgium
Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes.
Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address:the principle concepts of insurance and financepractical examples with real life datanumerical and algorithmic procedures essential for modern insurance practices
Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences.
“An excellent text”
Australian & New Zealand Journal of Statistics


Spis treści:
Table of Contents:
Concepts from Insurance and Finance.
Probability Distributions.
Premiums and Ordering of Risks.
Distributions of Aggregate Claim Amount.
Risk Processes.
Renewal Processes and Random Walk s.
Markov Chains.
Continuous–Time Markov Models.
Martingale Techniques I.
Martingale Techniques II.
Piecewise Deterministic Markov Processes.
Point Processes.
Diffusion Models.
Distribution Tables.
References.
Index.

Okładka tylna:
The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.
Stochastic Processes for Insurance and Finance
Tomaz Rolski
Mathematical Institute, University of Wroclaw, Poland
Hanspeter Schmidli
Department of Theoretical Statistics, Aarhus University, Denmark
Volker Schmidt
Faculty of Mathematics and Economics, University of Ulm, Germany
Jozef Teugels
Department of Mathematics, Catholic University of Leuven, Belgium
Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes.
Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address:the principle concepts of insurance and financepractical examples with real life datanumerical and algorithmic procedures essential for modern insurance practices
Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences.
“An excellent text”
Australian & New Ze aland Journal of Statistics