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09.10.2024 um 19:30 Uhr
Statistical Analysis of Operational Risk Data
von Giovanni De Luca, Danilo Carità, Francesco Martinelli
Verlag: Springer International Publishing
Reihe: SpringerBriefs in Statistics
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ISBN: 978-3-030-42580-7
Auflage: 1st ed. 2020
Erschienen am 24.02.2020
Sprache: Englisch
Umfang: 84 Seiten

Preis: 53,49 €

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Biografische Anmerkung

Giovanni De Luca is a Professor of Economic Statistics and was coordinator of the bachelor degree in Statistics (until November 2019) at Parthenope University, Naples, Italy, where he has taught since 2003. He received his Ph.D. in Mathematical and Statistical Methods from the University of Perugia in 1997. From 1999 to 2002, he worked as an Assistant Professor at the University of Verona. His research interests include time series analysis and statistics for financial markets. Much of his work is focused on the modeling of the dependence structure among variables. He has also investigated mixture models for improving volatility prediction.


Danilo Carità obtained his Ph.D. in Economics, Sustainability and Statistics in 2018. He holds a bachelor's degree in Statistics and a master's degree in Quantitative Methods for Economics. He has participated in international conferences and contributed to the Econometric Research in Finance journal.


Francesco Martinelli is a senior financial quantitative analyst manager at UBI Banca. For 20 years, he has worked in the field of quantitative analysis applied to financial markets, in risk management, particularly market risk, credit risk, operational risk and counterparty risk sectors, asset management and the process of validation of internal models. He is also an expert on the estimation of the integrated macro-financial model.


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