Stochastic Processes for Insurance and Finance

Tomasz Rolski, Hanspeter Schmidli, Volker Schmidt, Jozef L. Teugels

ISBN 10: 0471959251 / ISBN 13: 9780471959250

Published by John Wiley and Sons Inc, US, 1999

About this Item

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. 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 and New Zealand Journal of Statistics.

Seller Inventory # LU-9780471959250

Bibliographic Details

• Title: Stochastic Processes for Insurance and Finance
• Publisher: John Wiley and Sons Inc, US
• Publication Date: 1999
• Language: English
• ISBN 10: 0471959251
• ISBN 13: 9780471959250
• Binding: Hardback
• Edition: 1st.
• Condition: New
• Dimensions: 15.75W x 4.38H x 23.4D centimeters 15.75 centimeters width by 4.38 centimeters height by 23.4 centimeters depth
• Weight: 1134 grams

About this title

Synopsis

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.

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 finance
• practical examples with real life data
• numerical 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

About the Author

Tomasz 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.