Operational Risk Management In Banks

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Operational Risk Management In Banks

Operational Risk Management In Banks
Author: Giuliana Birindelli
Publisher: Springer
ISBN: 1137594527
Size: 41.17 MB
Format: PDF, ePub, Mobi
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This book focuses on several topical issues related to the operational risk management in bank: regulation, organisation and strategy. It analyses the connections between the different key-players involved in the operational risk process and the most relevant implications, both operational and strategic, arising from the implementation of the prudential framework.
Operational Risk Management in Banks
Language: en
Pages: 221
Authors: Giuliana Birindelli, Paola Ferretti
Categories: Business & Economics
Type: BOOK - Published: 2017-07-26 - Publisher: Springer
This book focuses on several topical issues related to the operational risk management in bank: regulation, organisation and strategy. It analyses the connections between the different key-players involved in the operational risk process and the most relevant implications, both operational and strategic, arising from the implementation of the prudential framework.
Risk Management in Banking, particularly operational risk
Language: en
Pages: 10
Authors: Jeyda Muharrem
Categories: Business & Economics
Type: BOOK - Published: 2012-02-03 - Publisher: GRIN Verlag
Studienarbeit aus dem Jahr 2011 im Fachbereich BWL - Bank, Börse, Versicherung, , Sprache: Deutsch, Abstract: In this report, different types of risk and management techniques are analysed. However, the main focus is operational risk. The Basel agreements are analysed to show their effectiveness in decreasing operational risk. The Capital Asset Pricing Model and The Modern Portfolio Theory are also used to show how bankers attempt to mitigate risk by diversification. The concept of duration, interest‐sensitive gap management and hedging tools are mentioned to demonstrate methods of interest rate risk management. This report analyses the operational risk cases of UBS, Herstatt, Barings and Société Générale. The differences and similarities of these cases are discussed. The report then draws conclusions what has been learned and what can be done to attempt to avoid rogue trading. [...]
Operational Risk Management
Language: en
Pages: 256
Authors: Hong Kong Institute of Bankers (HKIB)
Categories: Business & Economics
Type: BOOK - Published: 2013-05-13 - Publisher: John Wiley & Sons
A practical guide to identifying, analyzing and tackling operational risk in banks and financial institutions Created for banking and finance professionals with a desire to expand their management skill set, this book focuses on operational risk and operational risk events, as distinct from other types of functional risks. It was written by the experts at the world-renowned Hong Kong Institute of Bankers, an organization dedicated to providing the international banking community with education and training. Schools you in techniques for analyzing the operational risk exposure of banking institutions and assessing how operational risk impacts on other types of risk Provides expert guidance on how to design, plan and implement systems for operational risk management and quality control Describes a comprehensive approach to operational risk management that includes data collection, modeling and an overall risk management structure Shows you how to develop operational risk management solutions to help your company minimize losses without negatively impacting its ability to generate gains Offers expert guidance on various regulatory frameworks and how the latest Basel II and Basel III requirements impact a bank's operational risk management strategy and framework
Modelling Operational Risk Using Bayesian Inference
Language: en
Pages: 302
Authors: Pavel V. Shevchenko
Categories: Business & Economics
Type: BOOK - Published: 2011-01-19 - Publisher: Springer Science & Business Media
The management of operational risk in the banking industry has undergone explosive changes over the last decade due to substantial changes in the operational environment. Globalization, deregulation, the use of complex financial products, and changes in information technology have resulted in exposure to new risks which are very different from market and credit risks. In response, the Basel Committee on Banking Supervision has developed a new regulatory framework for capital measurement and standards for the banking sector. This has formally defined operational risk and introduced corresponding capital requirements. Many banks are undertaking quantitative modelling of operational risk using the Loss Distribution Approach (LDA) based on statistical quantification of the frequency and severity of operational risk losses. There are a number of unresolved methodological challenges in the LDA implementation. Overall, the area of quantitative operational risk is very new and different methods are under hot debate. This book is devoted to quantitative issues in LDA. In particular, the use of Bayesian inference is the main focus. Though it is very new in this area, the Bayesian approach is well suited for modelling operational risk, as it allows for a consistent and convenient statistical framework for quantifying the uncertainties involved. It also
Operational Risk Management
Language: en
Pages: 272
Authors: Ariane Chapelle
Categories: Business & Economics
Type: BOOK - Published: 2019-02-04 - Publisher: John Wiley & Sons
OpRisk Awards 2020 Book of the Year Winner! The Authoritative Guide to the Best Practices in Operational Risk Management Operational Risk Management offers a comprehensive guide that contains a review of the most up-to-date and effective operational risk management practices in the financial services industry. The book provides an essential overview of the current methods and best practices applied in financial companies and also contains advanced tools and techniques developed by the most mature firms in the field. The author explores the range of operational risks such as information security, fraud or reputation damage and details how to put in place an effective program based on the four main risk management activities: risk identification, risk assessment, risk mitigation and risk monitoring. The book also examines some specific types of operational risks that rank high on many firms' risk registers. Drawing on the author's extensive experience working with and advising financial companies, Operational Risk Management is written both for those new to the discipline and for experienced operational risk managers who want to strengthen and consolidate their knowledge.
Operational Risk Modeling in Financial Services
Language: en
Pages: 320
Authors: Patrick Naim, Laurent Condamin
Categories: Business & Economics
Type: BOOK - Published: 2019-04-08 - Publisher: Wiley
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
Modelling and Measurement Methods of Operational Risk in Banking
Language: en
Pages: 280
Authors: Erich R. Utz
Categories: Business & Economics
Type: BOOK - Published: 2008 - Publisher: Herbert Utz Verlag
Books about Modelling and Measurement Methods of Operational Risk in Banking
RISK, THE BUSINESS DRIVER IN BANKS
Language: en
Pages: 370
Authors: R S Raghavan
Categories: Business & Economics
Type: BOOK - Published: 2015 - Publisher: Notion Press
"Banking is run on the premise that not all the Depositors would ask for their money back fully, at the same time and not all the borrowers can meet their committed financial obligations, at all times.. There exists cash flow mismatch arising out of primarily borrowing short (Deposits) and lending long (Loans), giving rise to the concept of Risk Management. Understanding Risk is akin to undertaking a boat journey in sea, as the subject is quite vast and depth is unknown. An attempt is made in the book to be comprehensive with an intention to initiate and encourage all to identify, manage and mitigate the risk running across the banking functions. cover almost every topic on Risk in Banking, the Business Driver, that an inquisitive & curious banker might want to know. enable the readers to acquire a firm grip on the fundamentals of and foundations on risk management, while treading on the same. encompass all the aspects on the subject of “Risks in Banks”, and serve as one-point accessible reference, embracing all the dimensions of Risks. sensitise the banking and finance professionals on the subject of “Risk” having immense potentials & huge impact in the financial market. Basel norms
New Frontiers in Enterprise Risk Management
Language: en
Pages: 236
Authors: David L. Olson, Desheng Wu
Categories: Business & Economics
Type: BOOK - Published: 2008-04-13 - Publisher: Springer Science & Business Media
Risk management has become a critical part of doing business in the twenty-first century. This book is a collection of material about enterprise risk management, and the role of risk in decision making. Part I introduces the topic of enterprise risk management. Part II presents enterprise risk management from perspectives of finance, accounting, insurance, supply chain operations, and project management. Technology tools are addressed in Part III, including financial models of risk as well as accounting aspects, using data envelopment analysis, neural network tools for credit risk evaluation, and real option analysis applied to information techn- ogy outsourcing. In Part IV, three chapters present enterprise risk management experience in China, including banking, chemical plant operations, and information technology. Lincoln, USA David L. Olson Toronto, Canada Desheng Wu February 2008 v Contents Part I Preliminary 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 David L. Olson & Desheng Wu 2 The Human Reaction to Risk and Opportunity .
Measuring and Managing Operational Risk
Language: en
Pages: 211
Authors: Paola Leone, Pasqualina Porretta, Mario Vellella
Categories: Business & Economics
Type: BOOK - Published: 2017-12-26 - Publisher: Springer
This book covers Operational Risk Management (ORM), in the current context, and its new role in the risk management field. The concept of operational risk is subject to a wide discussion also in the field of ORM’s literature, which has increased throughout the years. By analyzing different methodologies that try to integrate qualitative and quantitative data or different measurement approaches, the authors explore the methodological framework, the assumptions, statistical tool, and the main results of an operational risk model projected by intermediaries. A guide for academics and students, the book also discusses the avenue of mitigation acts, suggested by the main results of the methodologies applied. The book will appeal to students, academics, and financial supervisory and regulatory authorities.