Quantitative Operational Risk Models (Chapman & Hall/Crc Finance Series)

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Product Description

Presenting a nonparametric approach to modeling operational risk data, this book offers a practical perspective that combines statistical analysis and management orientations. It covers the statistical theory prerequisites and summarizes important contributions made in the past decade. The authors explain how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. They also include SAS and R routines to implement all of the procedures discussed in the text.

Quantitative Operational Risk Models (Chapman & Hall/Crc Finance Series) Review

Great book! Simple answers to difficult questions. It is clear that it is a co-operation between leading academics and leading practitioners. The best section is perhaps the incredible simple way they combine external data and internal data. Their approach is perfectly consistent from the point of view of mathematical statistics. A lot of the approaches out there are not!

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