Hallo! Tracked shipping to Austria with Delivery Duty Paid for just €3.99  

Ship to
Austria
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada Quantitative Operational Risk Models
Type
Physical Book
Publisher
Language
English
Pages
236
Format
Hardcover
Dimensions
23.6 x 15.7 x 1.5 cm
Weight
0.44 kg.
ISBN
1439895929
ISBN13
9781439895924

Quantitative Operational Risk Models

Catalina Bolancé (Author) · Montserrat Guillén (Author) · Jim Gustafsson (Author) · CRC Press · Hardcover

Quantitative Operational Risk Models - Bolancé, Catalina ; Guillén, Montserrat ; Gustafsson, Jim

New Book Imported to Austria
Delivery: 09 Sep - 16 Sep Shipping: 15 to 19 business days.
253,19 €
Import costs and 10% VAT included in the price ✅
253,19 €

Synopsis "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 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.

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews