Dewey Class |
330.015195 |
Title |
Statistical Analysis of Operational Risk Data ([EBook]) / by Giovanni De Luca, Danilo Carità, Francesco Martinelli. |
Author |
De Luca, Giovanni |
Added Personal Name |
Carità, Danilo |
Martinelli, Francesco |
Other name(s) |
SpringerLink (Online service) |
Edition statement |
1st ed. 2020. |
Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2020. |
Physical Details |
IX, 84 p. 68 illus., 44 illus. in color. : online resource. |
Series |
SpringerBriefs in Statistics 2191-544X |
ISBN |
9783030425807 |
Summary Note |
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.: |
Contents note |
1 The Operational Risk -- 2 Identification of the Risk Classes -- 3 Severity Analysis -- 4 Frequency Analysis -- 5 Convolution and Risk Class Aggregation -- 6 Conclusions. |
Mode of acces to digital resource |
Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format |
System details note |
- Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
Internet Site |
https://doi.org/10.1007/978-3-030-42580-7 |
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