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Risk Analysis in Finance and Insurance
Taschenbuch von Alexander Melnikov
Sprache: Englisch

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Beschreibung

Reorganized and expanded, this updated book introduces the main ideas, techniques, and stochastic models of financial mathematics. It focuses on the foundations and key concepts of the modern methodology of quantitative financial analysis, explores the problems of managing insurance risks, and examines the multiple intrinsic connections between insurance risks and financial risks. With more examples and problems, this edition contains an expanded section on the foundations of probability and stochastic analysis and covers new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance.

Reorganized and expanded, this updated book introduces the main ideas, techniques, and stochastic models of financial mathematics. It focuses on the foundations and key concepts of the modern methodology of quantitative financial analysis, explores the problems of managing insurance risks, and examines the multiple intrinsic connections between insurance risks and financial risks. With more examples and problems, this edition contains an expanded section on the foundations of probability and stochastic analysis and covers new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance.

Über den Autor

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.

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2019
Fachbereich: Werbung & Marketing
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9780367382865
ISBN-10: 0367382865
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Melnikov, Alexander
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 156 x 18 mm
Von/Mit: Alexander Melnikov
Erscheinungsdatum: 25.09.2019
Gewicht: 0,503 kg
Artikel-ID: 128406165
Über den Autor

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.

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2019
Fachbereich: Werbung & Marketing
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9780367382865
ISBN-10: 0367382865
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Melnikov, Alexander
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 156 x 18 mm
Von/Mit: Alexander Melnikov
Erscheinungsdatum: 25.09.2019
Gewicht: 0,503 kg
Artikel-ID: 128406165
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