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Operational risk modeling in financial services : the exposure, occurrence, impact method / / Patrick Naim, Laurent Condamin



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Autore: Naïm Patrick Visualizza persona
Titolo: Operational risk modeling in financial services : the exposure, occurrence, impact method / / Patrick Naim, Laurent Condamin Visualizza cluster
Pubblicazione: Chichester, West Sussex : , : Wiley, , 2019
Edizione: 1st edition
Descrizione fisica: 1 online resource (323 pages)
Disciplina: 332.1068/1
Soggetto topico: Financial services industry - Risk management
Banks and banking - Risk management
Financial risk management
Soggetto genere / forma: Electronic books.
Persona (resp. second.): CondaminLaurent
Note generali: Includes index.
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: Transform your approach to oprisk modelling with a proven, non-statistical methodology Operational Risk Modeling in Financial Services provides risk professionals with a forward-looking approach to risk modelling, based on structured management judgement over obsolete statistical methods. Proven over a decade’s use in significant banks and financial services firms in Europe and the US, the Exposure, Occurrence, Impact (XOI) method of operational risk modelling played an instrumental role in reshaping their oprisk modelling approaches; in this book, the expert team that developed this methodology offers practical, in-depth guidance on XOI use and applications for a variety of major risks. The Basel Committee has dismissed statistical approaches to risk modelling, leaving regulators and practitioners searching for the next generation of oprisk quantification. The XOI method is ideally suited to fulfil this need, as a calculated, coordinated, consistent approach designed to bridge the gap between risk quantification and risk management. This book details the XOI framework and provides essential guidance for practitioners looking to change the oprisk modelling paradigm. Survey the range of current practices in operational risk analysis and modelling Track recent regulatory trends including capital modelling, stress testing and more Understand the XOI oprisk modelling method, and transition away from statistical approaches Apply XOI to major operational risks, such as disasters, fraud, conduct, legal and cyber risk The financial services industry is in dire need of a new standard — a proven, transformational approach to operational risk that eliminates or mitigates the common issues with traditional approaches. Operational Risk Modeling in Financial Services provides practical, real-world guidance toward a more reliable methodology, shifting the conversation toward the future with a new kind of oprisk modelling.
Titolo autorizzato: Operational risk modeling in financial services  Visualizza cluster
ISBN: 1-119-50854-1
1-119-50843-6
1-119-50855-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910467348803321
Lo trovi qui: Univ. Federico II
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