Fundamental Aspects Of Operational Risk And Insurance Analytics

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Fundamental Aspects of Operational Risk and Insurance Analytics

Author : Marcelo G. Cruz,Gareth W. Peters,Pavel V. Shevchenko
Publisher : John Wiley & Sons
Page : 928 pages
File Size : 43,9 Mb
Release : 2015-01-29
Category : Mathematics
ISBN : 9781118573006

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Fundamental Aspects of Operational Risk and Insurance Analytics by Marcelo G. Cruz,Gareth W. Peters,Pavel V. Shevchenko Pdf

A one-stop guide for the theories, applications, and statistical methodologies essential to operational risk Providing a complete overview of operational risk modeling and relevant insurance analytics, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk offers a systematic approach that covers the wide range of topics in this area. Written by a team of leading experts in the field, the handbook presents detailed coverage of the theories, applications, and models inherent in any discussion of the fundamentals of operational risk, with a primary focus on Basel II/III regulation, modeling dependence, estimation of risk models, and modeling the data elements. Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk begins with coverage on the four data elements used in operational risk framework as well as processing risk taxonomy. The book then goes further in-depth into the key topics in operational risk measurement and insurance, for example diverse methods to estimate frequency and severity models. Finally, the book ends with sections on specific topics, such as scenario analysis; multifactor modeling; and dependence modeling. A unique companion with Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk, the handbook also features: Discussions on internal loss data and key risk indicators, which are both fundamental for developing a risk-sensitive framework Guidelines for how operational risk can be inserted into a firm’s strategic decisions A model for stress tests of operational risk under the United States Comprehensive Capital Analysis and Review (CCAR) program A valuable reference for financial engineers, quantitative analysts, risk managers, and large-scale consultancy groups advising banks on their internal systems, the handbook is also useful for academics teaching postgraduate courses on the methodology of operational risk.

Fundamental Aspects of Operational Risk and Insurance Analytics

Author : Pavel Shevchenko,Gareth Peters,Marcelo Cruz
Publisher : Unknown
Page : 928 pages
File Size : 41,8 Mb
Release : 2015
Category : Electronic
ISBN : OCLC:1121222781

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Fundamental Aspects of Operational Risk and Insurance Analytics by Pavel Shevchenko,Gareth Peters,Marcelo Cruz Pdf

A one-stop guide for the theories, applications, and statistical methodologies essential to operational risk Providing a complete overview of operational risk modeling and relevant insurance analytics, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk offers a systematic approach that covers the wide range of topics in this area. Written by a team of leading experts in the field, the handbook presents detailed coverage of the theories, applications, and models inherent in any discussion of the fundamentals of operational risk, with a primary focus on Basel II/III regulation, modeling dependence, estimation of risk models, and modeling the data elements. Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk begins with coverage on the four data elements used in operational risk framework as well as processing risk taxonomy. The book then goes further in-depth into the key topics in operational risk measurement and insurance, for example diverse methods to estimate frequency and severity models. Finally, the book ends with sections on specific topics, such as scenario analysis; multifactor modeling; and dependence modeling. A unique companion with Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk, the handbook also features: Discussions on internal loss data and key risk indicators, which are both fundamental for developing a risk-sensitive framework Guidelines for how operational risk can be inserted into a firm's strategic decisions A model for stress tests of operational risk under the United States Comprehensive Capital Analysis and Review (CCAR) program A valuable reference for financial engineers, quantitative analysts, risk managers, and large-scale consultancy groups advising banks on their internal systems, the handbook is also useful for academics teaching postgraduate courses on the methodology of operational risk.

Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling: Handbooks of Operational Risk Set

Author : Marcelo G. Cruz,Gareth W. Peters,Pavel V. Shevchenko
Publisher : Wiley
Page : 0 pages
File Size : 47,8 Mb
Release : 2015-07-13
Category : Mathematics
ISBN : 1118909577

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Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling: Handbooks of Operational Risk Set by Marcelo G. Cruz,Gareth W. Peters,Pavel V. Shevchenko Pdf

Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk modeling Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of mathematical and statistical perspectives, the handbook begins by introducing the motivation for heavy tailed risk processes in high consequence low frequency loss modeling. With a companion, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, the book provides a complete framework for all aspects of operational risk management. Fundamental Aspects of Operational Risk and Insurance Analytics covers the theories, applications, and models inherent in any discussion of the fundamentals of operational risk, with a primary focus on Basel II/III regulation, modeling dependence, estimation of risk models, and modeling the data elements.

Advances in Heavy Tailed Risk Modeling

Author : Gareth W. Peters,Pavel V. Shevchenko
Publisher : John Wiley & Sons
Page : 1235 pages
File Size : 40,9 Mb
Release : 2015-05-21
Category : Mathematics
ISBN : 9781118909546

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Advances in Heavy Tailed Risk Modeling by Gareth W. Peters,Pavel V. Shevchenko Pdf

ADVANCES IN HEAVY TAILED RISK MODELING A cutting-edge guide for the theories, applications, and statistical methodologies essential to heavy tailed risk modeling Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of mathematical and statistical perspectives, the handbook begins by introducing the motivation for heavy tailed risk processes. A companion with Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, the handbook provides a complete framework for all aspects of operational risk management and includes: Clear coverage on advanced topics such as splice loss models, extreme value theory, heavy tailed closed form loss distribution approach models, flexible heavy tailed risk models, risk measures, and higher order asymptotic approximations of risk measures for capital estimation An exploration of the characterization and estimation of risk and insurance modeling, which includes sub-exponential models, alpha-stable models, and tempered alpha stable models An extended discussion of the core concepts of risk measurement and capital estimation as well as the details on numerical approaches to evaluation of heavy tailed loss process model capital estimates Numerous detailed examples of real-world methods and practices of operational risk modeling used by both financial and non-financial institutions Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk is an excellent reference for risk management practitioners, quantitative analysts, financial engineers, and risk managers. The handbook is also useful for graduate-level courses on heavy tailed processes, advanced risk management, and actuarial science.

Operational Risk Management

Author : Ron S. Kenett,Yossi Raanan
Publisher : John Wiley & Sons
Page : 339 pages
File Size : 40,9 Mb
Release : 2011-06-20
Category : Business & Economics
ISBN : 9781119956723

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Operational Risk Management by Ron S. Kenett,Yossi Raanan Pdf

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.

Fundamentals of Operational Risk Management

Author : Simon Ashby
Publisher : Kogan Page Publishers
Page : 321 pages
File Size : 55,9 Mb
Release : 2022-04-03
Category : Business & Economics
ISBN : 9781398605039

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Fundamentals of Operational Risk Management by Simon Ashby Pdf

Threats to an organization's operations, such as fraud, IT disruption or poorly designed products, could result in serious losses. Understand the key components of effective operational risk management with this essential book for risk professionals and students. Fundamentals of Operational Risk Management outlines how to implement a sound operational risk management framework which is embedded in day-to-day business activities. It covers the main operational risk tools including categorisation, risk and control self-assessment and scenario analysis, and explores the importance of risk appetite and tolerance. With case studies of major operational risk events to illustrate each concept, this book demonstrates the value of ORM and how it fits with other types of risk management. There is also guidance on the regulatory treatment of operational risk and the importance of risk culture in any organization. Master the essentials and improve the practice of operational risk management with this comprehensive guide.

Advances in Heavy Tailed Risk Modeling

Author : Gareth W. Peters,Pavel V. Shevchenko
Publisher : John Wiley & Sons
Page : 667 pages
File Size : 47,7 Mb
Release : 2015-05-26
Category : Mathematics
ISBN : 9781118909539

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Advances in Heavy Tailed Risk Modeling by Gareth W. Peters,Pavel V. Shevchenko Pdf

ADVANCES IN HEAVY TAILED RISK MODELING A cutting-edge guide for the theories, applications, and statistical methodologies essential to heavy tailed risk modeling Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of mathematical and statistical perspectives, the handbook begins by introducing the motivation for heavy tailed risk processes. A companion with Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, the handbook provides a complete framework for all aspects of operational risk management and includes: Clear coverage on advanced topics such as splice loss models, extreme value theory, heavy tailed closed form loss distribution approach models, flexible heavy tailed risk models, risk measures, and higher order asymptotic approximations of risk measures for capital estimation An exploration of the characterization and estimation of risk and insurance modeling, which includes sub-exponential models, alpha-stable models, and tempered alpha stable models An extended discussion of the core concepts of risk measurement and capital estimation as well as the details on numerical approaches to evaluation of heavy tailed loss process model capital estimates Numerous detailed examples of real-world methods and practices of operational risk modeling used by both financial and non-financial institutions Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk is an excellent reference for risk management practitioners, quantitative analysts, financial engineers, and risk managers. The handbook is also useful for graduate-level courses on heavy tailed processes, advanced risk management, and actuarial science.

Investment Risk Management

Author : H. Kent Baker,Greg Filbeck
Publisher : Financial Markets and Investme
Page : 709 pages
File Size : 50,7 Mb
Release : 2015
Category : Business & Economics
ISBN : 9780199331963

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Investment Risk Management by H. Kent Baker,Greg Filbeck Pdf

All investments carry with them some degree of risk. In the financial world, individuals, professional money managers, financial institutions and many others encounter and must deal with risk. The main purpose of 'Investment Risk Management' is to provide an overview of developments in risk management and a synthesis of research involving the latest developments in the field--

Digitalization in Finance and Accounting

Author : David Procházka
Publisher : Springer Nature
Page : 368 pages
File Size : 40,8 Mb
Release : 2021-02-05
Category : Business & Economics
ISBN : 9783030552770

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Digitalization in Finance and Accounting by David Procházka Pdf

This book explores current digitalization issues in finance and accounting with particular focus on emerging and transitioning markets. It features models, empirical studies and cases studies on topics such as Fintech, blockchain technology, financing renewable energy, and XBRL usage from sectors such health care, pharmacology, transportation, and education. Such a complex view of current economic phenomena makes the volume attractive not only for academia, but also for regulators and policy-makers, when deliberating the potential outcome of competing regulatory mechanisms.

Fundamentals of Risk Management

Author : Paul Hopkin
Publisher : Kogan Page Publishers
Page : 488 pages
File Size : 42,7 Mb
Release : 2017-01-03
Category : Business & Economics
ISBN : 9780749479626

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Fundamentals of Risk Management by Paul Hopkin Pdf

Fundamentals of Risk Management, now in its fourth edition, is a comprehensive introduction to commercial and business risk for students and a broad range of risk professionals. Providing extensive coverage of the core frameworks of business continuity planning, enterprise risk management and project risk management, this is the definitive guide to dealing with the different types of risk an organization faces. With relevant international case examples from both the private and public sectors, this revised edition of Fundamentals of Risk Management is completely aligned to ISO 31000 and provides a full analysis of changes in contemporary risk areas including supply chain, cyber risk, risk culture and improvements in risk management documentation and statutory risk reporting. This new edition of Fundamentals of Risk Management has been fully updated to reflect the development of risk management standards and practice, in particular business continuity standards, regulatory developments, risks to reputation and the business model, changes in enterprise risk management (ERM), loss control and the value of insurance as a risk management method. Also including a thorough overview of the international risk management standards and frameworks, strategy and policy, this book is the definitive professional text for risk managers.

Measuring and Managing Operational Risk

Author : Paola Leone,Pasqualina Porretta,Mario Vellella
Publisher : Springer
Page : 211 pages
File Size : 49,5 Mb
Release : 2017-12-26
Category : Business & Economics
ISBN : 9783319694108

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Measuring and Managing Operational Risk by Paola Leone,Pasqualina Porretta,Mario Vellella Pdf

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.

Mastering Operational Risk

Author : Tony Blunden,John Thirlwell
Publisher : Pearson UK
Page : 350 pages
File Size : 42,8 Mb
Release : 2012-09-26
Category : Business & Economics
ISBN : 9780273748823

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Mastering Operational Risk by Tony Blunden,John Thirlwell Pdf

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

Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment

Author : Antoine Bouveret
Publisher : International Monetary Fund
Page : 29 pages
File Size : 51,7 Mb
Release : 2018-06-22
Category : Computers
ISBN : 9781484360750

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Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment by Antoine Bouveret Pdf

Cyber risk has emerged as a key threat to financial stability, following recent attacks on financial institutions. This paper presents a novel documentation of cyber risk around the world for financial institutions by analyzing the different types of cyber incidents (data breaches, fraud and business disruption) and identifying patterns using a variety of datasets. The other novel contribution that is outlined is a quantitative framework to assess cyber risk for the financial sector. The framework draws on a standard VaR type framework used to assess various types of stability risk and can be easily applied at the individual country level. The framework is applied in this paper to the available cross-country data and yields illustrative aggregated losses for the financial sector in the sample across a variety of scenarios ranging from 10 to 30 percent of net income.

Operational Risk

Author : Anna S. Chernobai,Svetlozar T. Rachev,Frank J. Fabozzi
Publisher : John Wiley & Sons
Page : 415 pages
File Size : 51,5 Mb
Release : 2008-05-14
Category : Business & Economics
ISBN : 9780470410547

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Operational Risk by Anna S. Chernobai,Svetlozar T. Rachev,Frank J. Fabozzi Pdf

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.

Machine Learning Applications for Accounting Disclosure and Fraud Detection

Author : Papadakis, Stylianos,Garefalakis, Alexandros,Lemonakis, Christos,Chimonaki, Christiana,Zopounidis, Constantin
Publisher : IGI Global
Page : 270 pages
File Size : 50,9 Mb
Release : 2020-10-02
Category : Business & Economics
ISBN : 9781799848066

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Machine Learning Applications for Accounting Disclosure and Fraud Detection by Papadakis, Stylianos,Garefalakis, Alexandros,Lemonakis, Christos,Chimonaki, Christiana,Zopounidis, Constantin Pdf

The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.