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Fundamental Aspects Of Operational Risk And Insurance Analytics

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Fundamental Aspects Of Operational Risk And Insurance Analytics

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Author : Marcelo G. Cruz
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-20

Fundamental Aspects Of Operational Risk And Insurance Analytics written by Marcelo G. Cruz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-20 with Mathematics categories.

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

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Author : Marcelo G. Cruz
language : en
Publisher: Wiley
Release Date : 2015-07-13

Fundamental Aspects Of Operational Risk And Insurance Analytics And Advances In Heavy Tailed Risk Modeling Handbooks Of Operational Risk Set written by Marcelo G. Cruz and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-13 with Mathematics categories.

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.

Fundamental Aspects Of Operational Risk And Insurance Analytics A Handbook Of Operational Risk

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Author : M. ; Peters Cruz (Gareth W. ; Shevchenko, Pavel V.)
language : es
Publisher:
Release Date : 2023

Fundamental Aspects Of Operational Risk And Insurance Analytics A Handbook Of Operational Risk written by M. ; Peters Cruz (Gareth W. ; Shevchenko, Pavel V.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.

Fundamental Aspects Of Operational Risk And Insurance Analytics

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Author : Marcelo G. Cruz
language : en
Publisher: John Wiley & Sons
Release Date : 2015-02-23

Investment Risk Management

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Author : Harold Kent Baker
language : en
Publisher: Oxford University Press, USA
Release Date : 2015

Investment Risk Management written by Harold Kent Baker and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Business & Economics categories.

Investment Risk Management provides an overview of developments in risk management and a synthesis of research on the subject. The chapters examine ways to alter exposures through measuring and managing risk exposures and provide an understanding of the latest strategies and trends within risk management.

Digitalization In Finance And Accounting

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Author : David Procházka
language : en
Publisher: Springer Nature
Release Date : 2021-02-05

Digitalization In Finance And Accounting written by David Procházka and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-05 with Business & Economics categories.

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.

Cyber Risk For The Financial Sector A Framework For Quantitative Assessment

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Author : Antoine Bouveret
language : en
Publisher: International Monetary Fund
Release Date : 2018-06-22

Cyber Risk For The Financial Sector A Framework For Quantitative Assessment written by Antoine Bouveret and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-22 with Computers categories.

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.

The Risk Management Handbook

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Author : David Hillson
language : en
Publisher: Kogan Page Publishers
Release Date : 2016-06-03

The Risk Management Handbook written by David Hillson and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-03 with Business & Economics categories.

Risk management is dynamic, with new risks continually being identified and risk management techniques adapting to new challenges. The Risk Management Handbook gives a clear snapshot of the current state of play in the risk management landscape and a look ahead to the key emerging issues in the field. Drawing together leading voices from the major risk management application areas - from GRC to supply chain risk, operational risk to cyber risk - this edited collection showcases best practice in each discipline and provides a succinct and coherent picture of the field as a whole. Part One surveys these crucial application areas and provides a broad integrative framework for the differing contexts within which risk management is undertaken. Part Two explores emerging issues and techniques, from risk-based thinking to communicating uncertainty. The Risk Management Handbook offers readers knowledge of current best practice and a cutting-edge insight into new developments within risk management. Whether you are a risk professional wanting to stay abreast of your field, a student seeking a broad and up-to-date introduction to risk, or a business leader wanting to get to grips with the risks that face your business, this book will provide expert guidance.

Machine Learning Applications For Accounting Disclosure And Fraud Detection

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Author : Papadakis, Stylianos
language : en
Publisher: IGI Global
Release Date : 2020-10-02

Machine Learning Applications For Accounting Disclosure And Fraud Detection written by Papadakis, Stylianos and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-02 with Business & Economics categories.

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.

Handbook Of High Frequency Trading And Modeling In Finance

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Author : Ionut Florescu
language : en
Publisher: John Wiley & Sons
Release Date : 2016-04-25

Handbook Of High Frequency Trading And Modeling In Finance written by Ionut Florescu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-25 with Business & Economics categories.

Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.

Fundamental Aspects Of Operational Risk And Insurance Analytics

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