Wentworth
Institute of Technology
Statistical Tools for Finance and Insurance
Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field of quantitative finance and insurance, this book...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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| Online Access: |
Full text (Wentworth users only). |
| Summary: | Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field of quantitative finance and insurance, this book offers a unique combination of topics from which every market analyst and risk manager will benefit. Features of the book: - Offers insight into new methods and the applicability of the stochastic technology - Provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations. - Covers topics such as heavy tailed distributions, implied trinomial trees, pricing of CAT bonds, simulation of risk processes and ruin probability approximation - Presents extensive examples - The downloadable electronic edition of the book offers interactive tools "This book presents modern tools for quantitative analysis in finance and insurance. It provides a smooth introduction into advanced techniques applicable to a wide range of practical problems. The fact that all examples can be reproduced by the XploRe Quantlet Server technique makes it a "sure buy" for both practioners and theoretical analysts." Prof. Dr. Helmut Gründl, Dr. Wolfgang Schieren Chair for Insurance and Risk Management, sponsored by Allianz AG and Stifterverband für die Deutsche Wissenschaft |
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| Physical Description: | V, 517 pages : digital. |
| ISBN: | 9783540273950 |
| DOI: | 10.1007/b139025 |