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Author: Constantinos Artikis
Publisher: Springer
ISBN: 3319142569
Category : Technology & Engineering
Languages : en
Pages : 329
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Book Description
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.
Author: Constantinos Artikis
Publisher: Springer
ISBN: 3319142569
Category : Technology & Engineering
Languages : en
Pages : 329
Get Book Here
Book Description
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.
Author: Matthew J. Hassett
Publisher: ACTEX Publications
ISBN: 156698548X
Category : Business & Economics
Languages : en
Pages : 448
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Book Description
Author: I. Moosa
Publisher: Springer
ISBN: 0230591485
Category : Business & Economics
Languages : en
Pages : 274
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Book Description
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.
Author: Andrew N O'Connor
Publisher: RIAC
ISBN: 1933904062
Category : Mathematics
Languages : en
Pages : 220
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Book Description
The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.
Author: Nigel Da Costa Lewis
Publisher: John Wiley & Sons
ISBN: 9780471478874
Category : Business & Economics
Languages : en
Pages : 296
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Book Description
A valuable reference for understanding operational risk Operational Risk with Excel and VBA is a practical guide that only discusses statistical methods that have been shown to work in an operational risk management context. It brings together a wide variety of statistical methods and models that have proven their worth, and contains a concise treatment of the topic. This book provides readers with clear explanations, relevant information, and comprehensive examples of statistical methods for operational risk management in the real world. Nigel Da Costa Lewis (Stamford, CT) is president and CEO of StatMetrics, a quantitative research boutique. He received his PhD from Cambridge University.
Author: Panagiotis T. Artikis
Publisher: Springer Nature
ISBN: 3030956911
Category : Technology & Engineering
Languages : en
Pages : 295
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Book Description
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.
Author: Marcelo G. Cruz
Publisher: John Wiley & Sons
ISBN: 1118573021
Category : Mathematics
Languages : en
Pages : 928
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Book Description
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.
Author: Satyajit Das
Publisher: John Wiley & Sons
ISBN: 0470821655
Category : Business & Economics
Languages : en
Pages : 1348
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Book Description
Risk Management consists of 8 Parts and 18 Chapters covering risk management, market risk methodologies (including VAR and stress testing), credit risk in derivative transactions, other derivatives trading risks (liquidity risk, model risk and operational risk), organizational aspects of risk management and operational aspects of derivative trading. The volume also covers documentation/legal aspects of derivative transactions (including ISDA documentary framework), accounting treatment (including FASB 133 and IAS 39 issues), taxation aspects and regulatory aspects of derivative trading affecting banks and securities dealers (including the Basel framework for capital to be held against credit and market risk).
Author: Douglas G. Hoffman
Publisher: John Wiley & Sons
ISBN: 9780471412687
Category : Business & Economics
Languages : en
Pages : 580
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Book Description
"Managing Operational Risk" ist ein maßgeblicher Leitfaden zum Handling des operativen Risikos in Finanzinstituten. Als operatives Risiko bezeichnet man das Risiko für mögliche unerwartete Verluste, die auf Systemfehler, nicht adäquate interne Steuerungs- und Kontrollmechanismen sowie auf menschliches Versagen und höhere Gewalt zurückzuführen sind. Erläutert werden hier alle grundsätzlichen Fragen, angefangen bei einer ausführlichen Definition des Begriffs operatives Risiko, bis hin zu Entwurf und Implementierung anspruchsvoller Riskmanagement-Systeme. Darüber hinaus werden neueste Verfahren zur Erstellung von Computermodellen ebenso erörtert wie führende Methoden zur Integration von Legacy Systemen für die Bewertung und Erfassung operativer Risiken. "Managing Operational Risk" ist ein sachlich-prägnanter Ratgeber zur Bewertung und Minimierung des operativen Risikos. Geschrieben von Douglas Hoffman, einem international führenden Experten auf diesem Gebiet. Mit zahlreichen Fallstudien zu Spitzenfinanzinstitutionen weltweit.
Author: John J. Hampton
Publisher: AMACOM Div American Mgmt Assn
ISBN: 0814417442
Category : Business & Economics
Languages : en
Pages : 320
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Book Description
Business Insurance Magazine Innovation Award 2012 American Library Association Outstanding Business Reference Source 2012 Managing financial risk boils down to understanding how to reduce a complex business environment into workable concepts and models. The AMA Handbook of Financial Risk Management provides readers with the tools they need for dealing with the most important areas of financial decision making. Filled with strategies, principles, and measurement techniques, the book shows readers how to: * Categorize financial risks * Reduce risks from cash flow and budget exposures * Analyze operating risks * Understand the interrelationship of risk and return * Manage risks in capital investment decisions * Determine the value of common stock * Optimize debt in the capital structure Providing both explanations and practical applications, the book clarifies the key decision areas in financial risk management. This indispensable guide enables anyone involved in the financial management of an organization to know what factors are at stake and how to protect the bottom line.
