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 dat

chapter 1|12 pages

Understanding Operational Risk

chapter 4|8 pages

9 Why Mixing?

chapter 5|16 pages


chapter 7|108 pages

A Guided Practical Example