Statistical analysis of operational risk data
Author(s)
Bibliographic Information
Statistical analysis of operational risk data
（Springer Briefs in statistics）
Springer, c2020
Available at / 1 libraries
-
No Libraries matched.
- Remove all filters.
Search this Book/Journal
Note
Includes bibliographical references
Description and Table of Contents
Description
This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source of bank risk, after market and credit risk. The book shows that a careful statistical analysis can improve the results of the popular loss distribution approach. The authors identify the risk classes by applying a pooling rule based on statistical tests of goodness-of-fit, use the theory of the mixture of distributions to analyze the loss severities, and apply copula functions for risk class aggregation. Lastly, they assess operational risk data in order to estimate the so-called capital-at-risk that represents the minimum capital requirement that a bank has to hold. The book is primarily intended for quantitative analysts and risk managers, but also appeals to graduate students and researchers interested in bank risks.
by "Nielsen BookData"