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Using External Data In Operational Risk
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Book Synopsis Operational Risk Management by : Philippa X. Girling
Download or read book Operational Risk Management written by Philippa X. Girling and published by John Wiley & Sons. This book was released on 2013-10-14 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A best practices guide to all of the elements of an effective operational risk framework While many organizations know how important operational risks are, they still continue to struggle with the best ways to identify and manage them. Organizations of all sizes and in all industries need best practices for identifying and managing key operational risks, if they intend on exceling in today's dynamic environment. Operational Risk Management fills this need by providing both the new and experienced operational risk professional with all of the tools and best practices needed to implement a successful operational risk framework. It also provides real-life examples of successful methods and tools you can use while facing the cultural challenges that are prevalent in this field. Contains informative post-mortems on some of the most notorious operational risk events of our time Explores the future of operational risk in the current regulatory environment Written by a recognized global expert on operational risk An effective operational risk framework is essential for today's organizations. This book will put you in a better position to develop one and use it to identify, assess, control, and mitigate any potential risks of this nature.
Book Synopsis Using External Data in Operational Risk by : Jim Gustafsson
Download or read book Using External Data in Operational Risk written by Jim Gustafsson and published by . This book was released on 2007 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a method to combine expert opinion on the likelihood of under-reporting with an operational risk dataset: Under-reporting means that not all losses are identified and that incorrect distributional assumptions may be made and ultimately an incorrect assessment made of capital required. Our approach can be applied to help insurers and other financial services companies make better assessments of capital requirements for operational risk using either external or internal sources. We conclude that operational risk capital evaluation can be significantly biased if under-reporting is ignored.
Book Synopsis Measuring Operational and Reputational Risk by : Aldo Soprano
Download or read book Measuring Operational and Reputational Risk written by Aldo Soprano and published by John Wiley & Sons. This book was released on 2010-12-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to apply operational risk theory to real-life banking data Modelling Operational and Reputational Risks shows practitioners the best models to use in a given situation, according to the type of risk an organization is facing. Based on extensive applied research on operational risk models using real bank datasets, it offers a wide range of various testing models and fitting techniques for financial practitioners. With this book, professionals will have a foundation for measuring and predicting these important intangibles. Aldo Soprano (Madrid, Spain) is Group Head of operational risk management at UniCredit Group.
Book Synopsis Operational Risk Modeling in Financial Services by : Patrick Naim
Download or read book Operational Risk Modeling in Financial Services written by Patrick Naim and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Operational Risk Management by : Ron S. Kenett
Download or read book Operational Risk Management written by Ron S. Kenett and published by John Wiley & Sons. This book was released on 2011-06-20 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.
Book Synopsis Measuring and Managing Operational Risk by : Paola Leone
Download or read book Measuring and Managing Operational Risk written by Paola Leone and published by Springer. This book was released on 2017-12-26 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mixing Internal and External Data for Managing Operational Risk by : Antoine Frachot
Download or read book Mixing Internal and External Data for Managing Operational Risk written by Antoine Frachot and published by . This book was released on 2007 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Loss Distribution Approach has many appealing features since it is expected to be much more risk - sensitive than any other methods taken into consideration by the last proposals by the Basel Committee. Thus this approach is expected to provide significantly lower capital charges for banks whose track record is particularly good relatively to their exposures and compared with industry - wide benchmarks.Unfortunately LDA when calibrated only on internal data is far from being satisfactory from a regulatory perspective as it could likely underestimate the necessary capital charge. This happens for two reasons. First if a bank has experienced a lower - than - average number of events, it will benefit from a lower - than - average capital charge even though its good track record happened by chance and does not result from better - than - average risk management practices. As a consequence, LDA is acceptable as long as internal frequency data are tempered by industry - wide references. As such, it immediately raises the issue of how to cope with both internal frequency data and external benchmarks. This paper proposes a solution based on credibility theory which is widely used in the insurance industry to tackle analogous problems. As a result, we show how to make the statistical adjustment to temper the information conveyed by internal frequency data with the use of external references.Similarly if the calibration of severity parameters ignores external data, then the severity distribution will likely be biased towards low - severity losses since internal losses are typically lower than those recorded in industry - wide databases. Again from a regulatory perspective LDA cannot be accepted unless both internal and external data are merged and the merged database is used in the calibration process. Here again it raises the issue regarding the best way to merge these data. Obviously it cannot be done without any care since if internal databases are directly fuelled with external data, severity distributions will be strongly biased towards high - severity losses. This paper proposes also a statistical adjustment to make internal and external databases comparable with one another in order to permit a safe and unbiased merging.
Book Synopsis Operational Risk Capital Models by : Rafael Cavestany
Download or read book Operational Risk Capital Models written by Rafael Cavestany and published by . This book was released on 2015 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Operational Risk Capital Models is a guide for the implementation of state of the art operational risk capital models suitable for regulatory approval. For insurers, Solvency II implementation has created the need, in both highly developed and less developed markets, for the development of these models that help to better understand risks, safe capital and compliance. For the banking industry, regulators in many countries in Africa, Asia and Latin America (as well as Europe) are pressing their local banks to implement advanced operational risk capital models. Banks that have made early implementation are looking to improve their capital models with new advances to match the increasing regulatory requirements. Operational Risk Capital Models enables you to model your operational risk capital to ensure the model meets regulatory standards. It describes the process end to end, from the capture of the required data to the modelling and VaR calculation, as well as the integration of capital results into your institution's daily risk management." --Contratapa.
Book Synopsis Operational Risk by : Anna S. Chernobai
Download or read book Operational Risk written by Anna S. Chernobai and published by John Wiley & Sons. This book was released on 2008-05-14 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: While operational risk has long been regarded as a mere part of "other" risks--outside the realm of credit and market risk--it has quickly made its way to the forefront of finance. In fact, with implementation of the Basel II Capital Accord already underway, many financial professionals--as well as those preparing to enter this field--must now become familiar with a variety of issues related to operational risk modeling and management. Written by the experienced team of Anna Chernobai, Svetlozar Rachev, and Frank Fabozzi, Operational Risk will introduce you to the key concepts associated with this discipline. Filled with in-depth insights, expert advice, and innovative research, this comprehensive guide not only presents you with an abundant amount of information regarding operational risk, but it also walks you through a wide array of examples that will solidify your understanding of the issues discussed. Topics covered include: The main challenges that exist in modeling operational risk. The variety of approaches used to model operational losses. Value-at-Risk and its role in quantifying and managing operational risk. The three pillars of the Basel II Capital Accord. And much more.
Book Synopsis The Quantification of Operational Risk Using Internal Data, Relevant External Data and Expert Opinion by : Dominik Lambrigger
Download or read book The Quantification of Operational Risk Using Internal Data, Relevant External Data and Expert Opinion written by Dominik Lambrigger and published by . This book was released on 2014 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: To quantify an operational risk capital charge under Basel II, many banks adopt a Loss Distribution Approach. Under this approach, quantification of the frequency and severity distributions of operational risk involves the bank's internal data, expert opinions and relevant external data. In this paper we suggest a new approach, based on a Bayesian inference method, that allows for a combination of these three sources of information to estimate the parameters of the risk frequency and severity distributions.
Book Synopsis Internal Data, External Data and Consortium Data - How to Mix Them for Measuring Operational Risk by : Nicolas Baud
Download or read book Internal Data, External Data and Consortium Data - How to Mix Them for Measuring Operational Risk written by Nicolas Baud and published by . This book was released on 2007 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is widely recognized that calibration on internal data may not suffice for computing an accurate capital charge against operational risk. However, pooling external and internal data lead to unacceptable capital charges as external data are generally skewed toward large losses. In a previous paper, we have developped a statistical methodology to ensure that merging both internal and external data leads to unbiased estimates of the loss distribution. This paper shows that this methodology is applicable in real - life risk management and that it permits to pool internal and external data together in an appropriate way. The paper is organized as follows. We first discuss how external databases are designed and how their design may result in statistical flaws. Then we develop a model for the data generating process which underlies external data. In this model, the bias comes simply from the fact that external data are truncated above a specific threshold while this threshold may be either constant but known, or constant but unknown, or finally stochastic. We describe the rationale behind these three cases and we provide for each of them a methodology to circumvent the related bias. In each case, numerical simulations and practical evidences are given.
Book Synopsis Quantitative Operational Risk Models by : Catalina Bolance
Download or read book Quantitative Operational Risk Models written by Catalina Bolance and published by CRC Press. This book was released on 2012-02-15 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on classical transformation methods, the book includes real-life examples of the combination of internal dat
Book Synopsis Using Loss Data to Quantify Operational Risk by : Patrick de Fontnouvelle
Download or read book Using Loss Data to Quantify Operational Risk written by Patrick de Fontnouvelle and published by . This book was released on 2003 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Management and quantification of operational risk has been impeded by the lack of internal or external data on operational losses. We consider newly available data collected from public information sources, and show how such data can be used to quantify operational risk for large internationally active banks. We find that operational losses are an important source of risk for such banks, and that the capital charge for operational risk will often exceed the charge for market risk. Although operational risk capital will vary depending on the size and scope of a bank's activities, our results are consistent with the 2-7 billion dollars in capital some large internationally active banks are currently allocating for operational risk.
Book Synopsis A Comparison of Alternative Mixing Model for External Data in Operational Risk by : Roberto Torresetti
Download or read book A Comparison of Alternative Mixing Model for External Data in Operational Risk written by Roberto Torresetti and published by . This book was released on 2016 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: In measuring its Operational Risk VaR, a bank needs to pay attention when including external data in its analysis. Without careful consideration of the specific nature of the bank's risk there can be relevant systemic risk implications as pointed out in Torresetti and Nordio (2014). Based on real operational risk data we will case study alternative mixing models for external data. In particular we will see how scaling through a proxy for size, as in Shih et al (2000), in some cases does not seem to be a sensible technique to incorporate external data. Moving to more sophisticated mixing models we will see how kernel modified estimators, as in Bolancé et al (2013), and bayesian estimators, as in Lambrigger et al. (2007), represent an improvement. We will show also how the technique outlined in Torresetti and Nordio (2014) is capable of improving further the treatment of external data in those instances where the case can be made for a distinct power law governing the tail of the internal and external data.
Book Synopsis Mastering Operational Risk by : Tony Blunden
Download or read book Mastering Operational Risk written by Tony Blunden and published by Pearson UK. This book was released on 2012-09-26 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operational risk is a constant concern for all businesses. It goes far beyond operations and process to encompass all aspects of business risk, including strategic and reputational risks. Within financial services, it became codified by the Basel Committee on Banking Supervision in the 1990s. It is something that needs to be taken seriously by all those involved in running, managing and leading companies. Mastering Operational Risk is a comprehensive guide which takes you from the basic elements of operational risk, through to its advanced applications. Focusing on practical aspects, the book gives you everything you need to help you understand what operational risk is, how it affects you and your business and provides a framework for managing it. Mastering Operational Risk: Shows you how to make the business case for operational risk, and how to develop effective company-wide policies Covers the essential basic concepts through to advanced managements practices Uses examples and case studies which cover the pitfalls and explains how to avoid them Provides scenario analysis and modelling techniques for you to apply to your business Operational risk arises in all businesses. It is a broad term and can relate to internal processes, people, and systems, as well as external events. All listed companies, charities and the public sector must make risk judgements and assessments and company managers have an increasing responsibility to ensure that these assessments are robust and that risk management is at the heart of their organisations. In this practical guide, Tony Blunden and John Thirlwell, recognised experts in risk management, show you how to manage operational risk and show why operational risk management really will add benefits to your business. Mastering Operational Risk includes: The business case for operational risk Risk and control assessment How to use operational risk indicators Reporting operational risk Modelling and stress-testing operational risk Business continuity and insurance Managing people risk Containing reputational damage
Book Synopsis Guide to Optimal Operational Risk and BASEL II by : Ioannis S. Akkizidis
Download or read book Guide to Optimal Operational Risk and BASEL II written by Ioannis S. Akkizidis and published by CRC Press. This book was released on 2005-11-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guide to Optimal Operational Risk and Basel II presents the key aspects of operational risk management that are also aligned with the Basel II requirements. This volume provides detailed guidance for the design and implementation of an efficient operational risk management system. It contains all elements of assessment, including operational risk i
Book Synopsis Operational Risk Management in Banks by : Giuliana Birindelli
Download or read book Operational Risk Management in Banks written by Giuliana Birindelli and published by Springer. This book was released on 2017-07-26 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
