Probability Distributions In Risk Management Operations

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Probability Distributions in Risk Management Operations

Author : Constantinos Artikis,Panagiotis Artikis
Publisher : Springer
Page : 329 pages
File Size : 51,6 Mb
Release : 2015-02-02
Category : Technology & Engineering
ISBN : 9783319142562

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Probability Distributions in Risk Management Operations by Constantinos Artikis,Panagiotis Artikis Pdf

This book is about the formulations, theoretical investigations, and practical applications of new stochastic models for fundamental concepts and operations of the discipline of risk management. It also examines how these models can be useful in the descriptions, measurements, evaluations, and treatments of risks threatening various modern organizations. Moreover, the book makes clear that such stochastic models constitute very strong analytical tools which substantially facilitate strategic thinking and strategic decision making in many significant areas of risk management. In particular the incorporation of fundamental probabilistic concepts such as the sum, minimum, and maximum of a random number of continuous, positive, independent, and identically distributed random variables in the mathematical structure of stochastic models significantly supports the suitability of these models in the developments, investigations, selections, and implementations of proactive and reactive risk management operations. The book makes extensive use of integral and differential equations of characteristic functions, mainly corresponding to important classes of mixtures of probability distributions, as powerful analytical tools for investigating the behavior of new stochastic models suitable for the descriptions and implementations of fundamental risk control and risk financing operations. These risk treatment operations very often arise in a wide variety of scientific disciplines of extreme practical importance.

Probability for Risk Management

Author : Matthew J. Hassett,Donald Stewart
Publisher : ACTEX Publications
Page : 448 pages
File Size : 49,7 Mb
Release : 2006
Category : Business & Economics
ISBN : 9781566985482

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Probability for Risk Management by Matthew J. Hassett,Donald Stewart Pdf

Fat-Tailed and Skewed Asset Return Distributions

Author : Svetlozar T. Rachev,Christian Menn,Frank J. Fabozzi
Publisher : John Wiley & Sons
Page : 385 pages
File Size : 48,6 Mb
Release : 2005-09-15
Category : Business & Economics
ISBN : 9780471758907

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Fat-Tailed and Skewed Asset Return Distributions by Svetlozar T. Rachev,Christian Menn,Frank J. Fabozzi Pdf

While mainstream financial theories and applications assume that asset returns are normally distributed, overwhelming empirical evidence shows otherwise. Yet many professionals don’t appreciate the highly statistical models that take this empirical evidence into consideration. Fat-Tailed and Skewed Asset Return Distributions examines this dilemma and offers readers a less technical look at how portfolio selection, risk management, and option pricing modeling should and can be undertaken when the assumption of a non-normal distribution for asset returns is violated. Topics covered in this comprehensive book include an extensive discussion of probability distributions, estimating probability distributions, portfolio selection, alternative risk measures, and much more. Fat-Tailed and Skewed Asset Return Distributions provides a bridge between the highly technical theory of statistical distributional analysis, stochastic processes, and econometrics of financial returns and real-world risk management and investments.

Statistical Analysis of Operational Risk Data

Author : Giovanni De Luca,Danilo Carità,Francesco Martinelli
Publisher : Springer Nature
Page : 84 pages
File Size : 41,5 Mb
Release : 2020-02-24
Category : Business & Economics
ISBN : 9783030425807

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Statistical Analysis of Operational Risk Data by Giovanni De Luca,Danilo Carità,Francesco Martinelli Pdf

This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source of bank risk, after market and credit risk. The book shows that a careful statistical analysis can improve the results of the popular loss distribution approach. The authors identify the risk classes by applying a pooling rule based on statistical tests of goodness-of-fit, use the theory of the mixture of distributions to analyze the loss severities, and apply copula functions for risk class aggregation. Lastly, they assess operational risk data in order to estimate the so-called capital-at-risk that represents the minimum capital requirement that a bank has to hold. The book is primarily intended for quantitative analysts and risk managers, but also appeals to graduate students and researchers interested in bank risks.

Measuring Operational and Reputational Risk

Author : Aldo Soprano,Bert Crielaard,Fabio Piacenza,Daniele Ruspantini
Publisher : John Wiley & Sons
Page : 226 pages
File Size : 45,8 Mb
Release : 2010-12-03
Category : Business & Economics
ISBN : 9780470742112

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Measuring Operational and Reputational Risk by Aldo Soprano,Bert Crielaard,Fabio Piacenza,Daniele Ruspantini Pdf

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.

Scenario Analysis in Risk Management

Author : Bertrand K. Hassani
Publisher : Springer
Page : 162 pages
File Size : 40,8 Mb
Release : 2016-10-26
Category : Business & Economics
ISBN : 9783319250564

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Scenario Analysis in Risk Management by Bertrand K. Hassani Pdf

This book focuses on identifying and explaining the key determinants of scenario analysis in the context of operational risk, stress testing and systemic risk, as well as management and planning. Each chapter presents alternative solutions to perform reliable scenario analysis. The author also provides technical notes and describes applications and key characteristics for each of the solutions. In addition, the book includes a section to help practitioners interpret the results and adjust them to real-life management activities. Methodologies, including those derived from consensus strategies, extreme value theory, Bayesian networks, Neural networks, Fault Trees, frequentist statistics and data mining are introduced in such a way as to make them understandable to readers without a quantitative background. Particular emphasis is given to the added value of the implementation of these methodologies.

Operational Risk Management

Author : I. Moosa
Publisher : Springer
Page : 255 pages
File Size : 54,5 Mb
Release : 2007-07-03
Category : Business & Economics
ISBN : 9780230591486

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Operational Risk Management by I. Moosa Pdf

Written by an experienced academic and practitioner, Operational Risk Management fills a gap in the information available on the Basel 2 Accord and offers valuable insights into the nature of operational risk.

Quantitative Operational Risk Models

Author : Catalina Bolance,Montserrat Guillén,Jim Gustafsson,Jens Perch Nielsen
Publisher : CRC Press
Page : 236 pages
File Size : 50,8 Mb
Release : 2012-02-15
Category : Business & Economics
ISBN : 9781439895931

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Quantitative Operational Risk Models by Catalina Bolance,Montserrat Guillén,Jim Gustafsson,Jens Perch Nielsen Pdf

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

Fundamentals of Operational Risk Management

Author : Simon Ashby
Publisher : Kogan Page Publishers
Page : 321 pages
File Size : 47,5 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.

Foundations of Risk Analysis

Author : Terje Aven
Publisher : John Wiley & Sons
Page : 245 pages
File Size : 41,7 Mb
Release : 2012-04-09
Category : Mathematics
ISBN : 9781119966975

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Foundations of Risk Analysis by Terje Aven Pdf

Foundations of Risk Analysis presents the issues core to risk analysis – understanding what risk means, expressing risk, building risk models, addressing uncertainty, and applying probability models to real problems. The author provides the readers with the knowledge and basic thinking they require to successfully manage risk and uncertainty to support decision making. This updated edition reflects recent developments on risk and uncertainty concepts, representations and treatment. New material in Foundations of Risk Analysis includes: An up to date presentation of how to understand, define and describe risk based on research carried out in recent years. A new definition of the concept of vulnerability consistent with the understanding of risk. Reflections on the need for seeing beyond probabilities to measure/describe uncertainties. A presentation and discussion of a method for assessing the importance of assumptions (uncertainty factors) in the background knowledge that the subjective probabilities are based on A brief introduction to approaches that produce interval (imprecise) probabilities instead of exact probabilities. In addition the new version provides a number of other improvements, for example, concerning the use of cost-benefit analyses and the As Low As Reasonably Practicable (ALARP) principle. Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.

Operational Risk

Author : Harry H. Panjer
Publisher : John Wiley & Sons
Page : 469 pages
File Size : 41,8 Mb
Release : 2006-07-28
Category : Business & Economics
ISBN : 9780471760894

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Operational Risk by Harry H. Panjer Pdf

Discover how to optimize business strategies from both qualitative and quantitative points of view Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is designed to provide risk analysts with a framework of the mathematical models and methods used in the measurement and modeling of operational risk in both the banking and insurance sectors. Beginning with a foundation for operational risk modeling and a focus on the modeling process, the book flows logically to discussion of probabilistic tools for operational risk modeling and statistical methods for calibrating models of operational risk. Exercises are included in chapters involving numerical computations for students' practice and reinforcement of concepts. Written by Harry Panjer, one of the foremost authorities in the world on risk modeling and its effects in business management, this is the first comprehensive book dedicated to the quantitative assessment of operational risk using the tools of probability, statistics, and actuarial science. In addition to providing great detail of the many probabilistic and statistical methods used in operational risk, this book features: * Ample exercises to further elucidate the concepts in the text * Definitive coverage of distribution functions and related concepts * Models for the size of losses * Models for frequency of loss * Aggregate loss modeling * Extreme value modeling * Dependency modeling using copulas * Statistical methods in model selection and calibration Assuming no previous expertise in either operational risk terminology or in mathematical statistics, the text is designed for beginning graduate-level courses on risk and operational management or enterprise risk management. This book is also useful as a reference for practitioners in both enterprise risk management and risk and operational management.

Measuring and Managing Operational Risk

Author : Paola Leone,Pasqualina Porretta,Mario Vellella
Publisher : Springer
Page : 211 pages
File Size : 43,7 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.

Risk Analysis in Engineering

Author : Mohammad Modarres
Publisher : CRC Press
Page : 408 pages
File Size : 40,9 Mb
Release : 2016-04-27
Category : Mathematics
ISBN : 9781420003499

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Risk Analysis in Engineering by Mohammad Modarres Pdf

Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p

Random Contractions in Global Risk Governance

Author : Panagiotis T. Artikis,Constantinos T. Artikis
Publisher : Springer Nature
Page : 295 pages
File Size : 54,9 Mb
Release : 2022-01-31
Category : Technology & Engineering
ISBN : 9783030956912

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Random Contractions in Global Risk Governance by Panagiotis T. Artikis,Constantinos T. Artikis Pdf

This book contributes to the area of ongoing global risks and the area of forthcoming global risks, particularly necessary for the implementation of very important interdisciplinary research activities. Global risks are defined in this study as having a global geographical scope, an inter-industrial presence, and exceptionally critical stages of economic and social participation that necessitate a major multi-stakeholder input. In addition, global risks demand an extremely extensive priority in decision-making allowance. The theoretical and practical results of this work are strongly connected to several quite useful factors. The present work mainly concentrates on the contribution of probability theory in the advancement of the practical applicability of global risk governance. More precisely, the work introduces structural stochastic concepts and fundamental stochastic results for the formulation of stochastic models of various global risk governance operations particularly valuable in proactive treatment of several groups of global risks.

Operational Risk Management

Author : Ron S. Kenett,Yossi Raanan
Publisher : John Wiley & Sons
Page : 339 pages
File Size : 44,7 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.