Quantitative operational risk models

Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on classical transformation methods, the book includes rea...

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Detalles Bibliográficos
Otros Autores: Bolance, Catalina (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : Taylor & Francis 2012.
Edición:1st edition
Colección:Chapman & Hall/CRC finance series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628318306719
Tabla de Contenidos:
  • Front Cover; Dedication; About the authors; Preface; Contents; 1. Understanding Operational Risk; 2. Operational Risk Data and Parametric Models; 3. Semiparametric Models for Operational Risk Severities; 4. Combining Operational Risk Data Sources; 5. Underreporting; 6. Combining Underreported Internal and External Data for Operational Risk Measurement; 7. A Guided Practical Example; Bibliography