Risk Analysis in Finance and Insurance
Chapman & Hall/CRC (Verlag)
978-0-367-38286-5 (ISBN)
New to the Second Edition
Expanded section on the foundations of probability and stochastic analysis
Coverage of new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance
More worked examples and problems
Reorganized and expanded, this updated book illustrates how to use quantitative methods of stochastic analysis in modern financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis and management.
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.
Financial Risk Management and Related Mathematical Tools. Financial Risk Management in the Binomial Model. Advanced Analysis of Financial Risks: Discrete Time Models. Analysis of Risks: Continuous Time Models. Fixed Income Securities: Modeling and Pricing. Implementations of Risk Analysis in Various Areas of Financial Industry. Insurance and Reinsurance Risks. Solvency Problem for an Insurance Company. Appendices. Bibliography. Glossary of Notation. Index.
Erscheinungsdatum | 27.09.2019 |
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Zusatzinfo | 4 Tables, black and white; 9 Illustrations, black and white |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 453 g |
Themenwelt | Betriebswirtschaft / Management ► Spezielle Betriebswirtschaftslehre ► Versicherungsbetriebslehre |
Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
ISBN-10 | 0-367-38286-5 / 0367382865 |
ISBN-13 | 978-0-367-38286-5 / 9780367382865 |
Zustand | Neuware |
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