Description
Risk Analysis in Finance & Insurance, Alexander Melnikov – Risk Analysis in Finance & Insurance, Risk Analysis in Finance & Insurance download, Alexander Melnikov – Risk Analysis in Finance & Insurance review, Risk Analysis in Finance & Insurance free torent
Alexander Melnikov – Risk Analysis in Finance & Insurance
Review
… 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
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.
