Name: Quantitative Operational Risk Models (en Inglés)
Price: 123130.00 CLP
Availability: InStock
Author: Bolancé, Catalina ; Guillén, Montserrat ; Gustafsson, Jim
ISBN: 9781439895924

portada Quantitative Operational Risk Models (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

236

Encuadernación

Tapa Dura

Dimensiones

23.6 x 15.7 x 1.5 cm

Peso

0.44 kg.

ISBN

1439895929

ISBN13

9781439895924

Categorías

Seguros
Probabilidad y estadística

Quantitative Operational Risk Models (en Inglés)

Catalina Bolancé (Autor) · Montserrat Guillén (Autor) · Jim Gustafsson (Autor) · CRC Press · Tapa Dura

Libro Físico

$ 123.130

$ 223.880

Ahorras: $ 100.750

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Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Quantitative Operational Risk Models (en Inglés)"

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 real-life examples of the combination of internal data and external information.A guideline for practitioners, the book begins with the basics of managing operational risk data to more sophisticated and recent tools needed to quantify the capital requirements imposed by operational risk. The book then covers statistical theory prerequisites, and explains how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. In addition, it provides: Simple, intuitive, and general methods to improve on internal operational risk assessment Univariate event loss severity distributions analyzed using semiparametric models Methods for the introduction of underreporting information A practical method to combine internal and external operational risk data, including guided examples in SAS and R Measuring operational risk requires the knowledge of the quantitative tools and the comprehension of insurance activities in a very broad sense, both technical and commercial. Presenting a nonparametric approach to modeling operational risk data, Quantitative Operational Risk Models offers a practical perspective that combines statistical analysis and management orientations.