Quantitative Operational Risk Models
Montserrat Guillén author Jim Gustafsson author Jens Perch Nielsen author Catalina Bolance author
Format:Paperback
Publisher:Taylor & Francis Ltd
Published:29th Mar '23
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£96.99(9781439895924)
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.
"… a very useful addition to the literature on Operational Financial Risk and I would recommend it to practitioners."
—Alan Penman, Annals of Actuarial Science, Vol. 7, March 2013
ISBN: 9781032477572
Dimensions: unknown
Weight: 331g
236 pages