Risk Analysis in Finance and Insurance (Chapman & Hall/CRC Financial Mathematics Series)

Description

Book Description

Development of quantitative methods based on stochastic analysis is an important achievement of modern financial mathematics. Risk Analysis in Finance and Insurance offers the first comprehensive yet accessible introduction to the ideas, methods, and techniques that have transformed risk management into a quantitative science and led to unified methods for analyzing risk in both the insurance and the finance arenas. Self-contained and full of exercises and worked examples, the book serves equally well as a text for courses in financial and actuarial mathematics and as a professional reference for financial analysts and actuaries. Ancillary electronic material will be available for download from the publisher’s Web site.

Product Description

“a useful addition to a rapidly expanding field.” – Journal of the Royal Statistical Society “Here is a comprehensive and accessible introduction to the ideas, methods and probabilistic models that have transformed risk management into a quantitative science and led to unified methods for analyzing insurance and finance risk.” -Business Horizons “Risk Analysis in Finance and Insurance by Dr. Alexander Melnikov is a self-contained and highly comprehensible introduction to mathematical finance and its interplay with insurance risk analysis. Students will like the book due to the many worked-out examples deepening the understanding of the theory. A special and probably unique feature of the book is its unified approach to financial and insurance risks. As a consequence of the convergence of financial and insurance markets, practitioners in financial institutions will have great benefit from books like Melnikov’s covering mathematical approaches to risk analysis in both markets in a consistent manner.” – Dr. Christian Bluhm, HypoVereinsbank, Munich, Germany

Review

Praise for the First Edition ! a useful addition to a rapidly expanding field. –Journal of the Royal Statistical Society Here is a comprehensive and accessible introduction to the ideas, methods and probabilistic models that have transformed risk management into a quantitative science and [have] led to unified methods for analyzing insurance and finance risk. –Business Horizons Risk Analysis in Finance and Insurance is a self-contained and highly comprehensive introduction to mathematical finance and its interplay with insurance risk analysis. Students will like the book due to the many worked-out examples deepening the understanding of the theory. A special and probably unique feature of the book is its unified approach to financial and insurance risks. As a consequence of the convergence of financial and insurance markets, practitioners in financial institutions will have great benefit from books like Melnikov’s covering mathematical approaches to risk analysis in both markets in a consistent manner. –Christian Bluhm, Credit Suisse, Zurich, Switzerland

About the Author

Alexander Melnikov is a professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Dr. Melnikov’s research interests include mathematical finance and risk management, insurance and actuarial science, statistics and stochastic analysis, and stochastic differential equations and their applications.