Risk analysis in finance and insurance

The development of quantitative methods based on stochastic analysis is a key achievement of modern financial mathematics. These methods can be extended and applied in the area of actuarial science, which leads to unified methods of risk management in finance and insurance. This interdisciplinary bo...

Descripción completa

Detalles Bibliográficos
Autor principal: Melnikov, A. V., 1953- (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Fla. : London : CRC ; Taylor & Francis c2012.
Edición:2nd ed
Colección:Chapman & Hall/CRC monographs and surveys in pure and applied mathematics.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627669206719
Tabla de Contenidos:
  • Front Cover; Preface to 2nd edition; Introduction; Contents; 1. Introductory concepts of Financial Risk Management and Related Mathematical Tools; 2. Financial Risk Management in the Binomial Model; 3. Advanced Analysis of Financial Risks: Discrete Time Models; 4. Analysis of Risks: Continuous Time Models; 5. Fixed Income Securities: Modeling and Pricing; 6. Implementations of Risk Analysis in Various Areas of Financial Industry; 7. Insurance and Reinsurance Risks; 8. Solvency Problem for an Insurance Company: Discrete and Continuous Time Models; Appendix A: Problems
  • Appendix B: Bibliographic RemarksBibliography; Glossary of Notation