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Statistical Analysis of Operational Risk Data [[electronic resource] /] / by Giovanni De Luca, Danilo Carità, Francesco Martinelli



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Autore: De Luca Giovanni Visualizza persona
Titolo: Statistical Analysis of Operational Risk Data [[electronic resource] /] / by Giovanni De Luca, Danilo Carità, Francesco Martinelli Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (IX, 84 p. 68 illus., 44 illus. in color.)
Disciplina: 519.5
Soggetto topico: Statistics 
Risk management
Economic theory
Bank marketing
Applied mathematics
Engineering mathematics
Statistics for Business, Management, Economics, Finance, Insurance
Risk Management
Economic Theory/Quantitative Economics/Mathematical Methods
Financial Services
Applications of Mathematics
Persona (resp. second.): CaritàDanilo
MartinelliFrancesco
Nota di contenuto: 1 The Operational Risk -- 2 Identification of the Risk Classes -- 3 Severity Analysis -- 4 Frequency Analysis -- 5 Convolution and Risk Class Aggregation -- 6 Conclusions.
Sommario/riassunto: 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.
Titolo autorizzato: Statistical Analysis of Operational Risk Data  Visualizza cluster
ISBN: 3-030-42580-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996418279803316
Lo trovi qui: Univ. di Salerno
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Serie: SpringerBriefs in Statistics, . 2191-544X