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Random Distortion Risk Measures
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Book Synopsis A Probability Metrics Approach to Financial Risk Measures by : Svetlozar T. Rachev
Download or read book A Probability Metrics Approach to Financial Risk Measures written by Svetlozar T. Rachev and published by John Wiley & Sons. This book was released on 2011-03-10 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time. Helps to answer the question: which risk measure is best for a given problem? Finds new relations between existing classes of risk measures Describes applications in finance and extends them where possible Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field Applications include optimal portfolio choice, risk theory, and numerical methods in finance Topics requiring more mathematical rigor and detail are included in technical appendices to chapters
Book Synopsis Risk Models and Their Estimation by : Stephen G. Kellison
Download or read book Risk Models and Their Estimation written by Stephen G. Kellison and published by ACTEX Publications. This book was released on 2011 with total page 1150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much of actuarial science deals with the analysis and management of financial risk. In this text we address the topic of loss models, traditionally called risk theory by actuaries, including the estimation of such models from sample data. The theory of survival models is addressed in other texts, including the ACTEX work entitled Models for Quantifying Risk which might be considered a companion text to this one. In Risk Models and Their Estimation we consider as well the estimation of survival models, in both tabular and parametric form, from sample data. This text is a valuable reference for those preparing for Exam C of the Society of Actuaries and Exam 4 of the Casualty Actuarial Society. A separate solutions' manual with detailed solutions to the text exercises is also available.
Book Synopsis Modeling and Simulation in Engineering, Economics, and Management by : María Ángeles Fernández-Izquierdo
Download or read book Modeling and Simulation in Engineering, Economics, and Management written by María Ángeles Fernández-Izquierdo and published by Springer. This book was released on 2013-06-01 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2013, held in Castellón de la Plana, Spain, in June 2013. The event was co-organized by the AMSE Association and the SoGReS Research Group of the Jaume I University. This edition of the conference paid special attention to modeling and simulation in diverse fields of business management. The 28 full papers in this book were carefully reviewed and selected from 65 submissions. They are organized in topical sections on: modeling and simulation in CSR and sustainable development; modeling and simulation in finance and accounting; modeling and simulation in management and marketing; modeling and simulation in economics and politics; knowledge-based expert and decision support systems; and modeling and simulation in engineering.
Book Synopsis Risk Measurement by : Dominique Guégan
Download or read book Risk Measurement written by Dominique Guégan and published by Springer. This book was released on 2019-03-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines theory and practice to analyze risk measurement from different points of view. The limitations of a model depend on the framework on which it has been built as well as specific assumptions, and risk managers need to be aware of these when assessing risks. The authors investigate the impact of these limitations, propose an alternative way of thinking that challenges traditional assumptions, and also provide novel solutions. Starting with the traditional Value at Risk (VaR) model and its limitations, the book discusses concepts like the expected shortfall, the spectral measure, the use of the spectrum, and the distortion risk measures from both a univariate and a multivariate perspective.
Book Synopsis Nonlife Actuarial Models by : Yiu-Kuen Tse
Download or read book Nonlife Actuarial Models written by Yiu-Kuen Tse and published by Cambridge University Press. This book was released on 2009-09-17 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This class-tested undergraduate textbook covers the entire syllabus for Exam C of the Society of Actuaries (SOA).
Book Synopsis Measuring Market Risk by : Kevin Dowd
Download or read book Measuring Market Risk written by Kevin Dowd and published by John Wiley & Sons. This book was released on 2007-01-11 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fully revised and restructured, Measuring Market Risk, Second Edition includes a new chapter on options risk management, as well as substantial new information on parametric risk, non-parametric measurements and liquidity risks, more practical information to help with specific calculations, and new examples including Q&A’s and case studies.
Book Synopsis Mathematical and Statistical Methods for Actuarial Sciences and Finance by : Marco Corazza
Download or read book Mathematical and Statistical Methods for Actuarial Sciences and Finance written by Marco Corazza and published by Springer Science & Business Media. This book was released on 2011-06-07 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers from the international conference MAF 2008 that cover a wide variety of subjects in actuarial, insurance and financial fields, all treated in light of the successful cooperation between mathematics and statistics.
Book Synopsis Fundamental Aspects of Operational Risk and Insurance Analytics by : Marcelo G. Cruz
Download or read book Fundamental Aspects of Operational Risk and Insurance Analytics written by Marcelo G. Cruz and published by John Wiley & Sons. This book was released on 2015-01-29 with total page 939 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mathematical and Statistical Methods for Insurance and Finance by : Cira Perna
Download or read book Mathematical and Statistical Methods for Insurance and Finance written by Cira Perna and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection published here gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields.
Book Synopsis An Introduction to Computational Risk Management of Equity-Linked Insurance by : Runhuan Feng
Download or read book An Introduction to Computational Risk Management of Equity-Linked Insurance written by Runhuan Feng and published by CRC Press. This book was released on 2018-06-13 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.
Book Synopsis Uncertainty Analysis in Econometrics with Applications by : Van-Nam Huynh
Download or read book Uncertainty Analysis in Econometrics with Applications written by Van-Nam Huynh and published by Springer Science & Business Media. This book was released on 2012-12-14 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization. This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data.
Book Synopsis Modeling Decisions for Artificial Intelligence by : Vicenç Torra
Download or read book Modeling Decisions for Artificial Intelligence written by Vicenç Torra and published by Springer. This book was released on 2016-09-12 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2016, held in Sant Julià de Lòria, Andorra, in September 2016. The 22 revised full papers presented together with three invited talks were carefully reviewed and selected from 36 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers address topics such as decision making, information fusion, social networks, data mining, and related subjects. Applications to data science and privacy technologies, as well as to real world problems are also discussed.
Book Synopsis Econometrics of Risk by : Van-Nam Huynh
Download or read book Econometrics of Risk written by Van-Nam Huynh and published by Springer. This book was released on 2014-12-15 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book contains several state-of-the-art papers devoted to econometrics of risk. Some papers provide theoretical analysis of the corresponding mathematical, statistical, computational, and economical models. Other papers describe applications of the novel risk-related econometric techniques to real-life economic situations. The book presents new methods developed just recently, in particular, methods using non-Gaussian heavy-tailed distributions, methods using non-Gaussian copulas to properly take into account dependence between different quantities, methods taking into account imprecise ("fuzzy") expert knowledge, and many other innovative techniques. This versatile volume helps practitioners to learn how to apply new techniques of econometrics of risk, and researchers to further improve the existing models and to come up with new ideas on how to best take into account economic risks.
Book Synopsis Advanced Mathematical Methods for Finance by : Julia Di Nunno
Download or read book Advanced Mathematical Methods for Finance written by Julia Di Nunno and published by Springer Science & Business Media. This book was released on 2011-03-29 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovations in the mathematical foundations of financial analysis and numerical methods for finance and applications to the modeling of risk. The topics selected include measures of risk, credit contagion, insider trading, information in finance, stochastic control and its applications to portfolio choices and liquidation, models of liquidity, pricing, and hedging. The models presented are based on the use of Brownian motion, Lévy processes and jump diffusions. Moreover, fractional Brownian motion and ambit processes are also introduced at various levels. The chosen blend of topics gives an overview of the frontiers of mathematics for finance. New results, new methods and new models are all introduced in different forms according to the subject. Additionally, the existing literature on the topic is reviewed. The diversity of the topics makes the book suitable for graduate students, researchers and practitioners in the areas of financial modeling and quantitative finance. The chapters will also be of interest to experts in the financial market interested in new methods and products. This volume presents the results of the European ESF research networking program Advanced Mathematical Methods for Finance.
Book Synopsis Mathematical Risk Analysis by : Ludger Rüschendorf
Download or read book Mathematical Risk Analysis written by Ludger Rüschendorf and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author's particular interest in the area of risk measures is to combine this theory with the analysis of dependence properties. The present volume gives an introduction of basic concepts and methods in mathematical risk analysis, in particular of those parts of risk theory that are of special relevance to finance and insurance. Describing the influence of dependence in multivariate stochastic models on risk vectors is the main focus of the text that presents main ideas and methods as well as their relevance to practical applications. The first part introduces basic probabilistic tools and methods of distributional analysis, and describes their use to the modeling of dependence and to the derivation of risk bounds in these models. In the second, part risk measures with a particular focus on those in the financial and insurance context are presented. The final parts are then devoted to applications relevant to optimal risk allocation, optimal portfolio problems as well as to the optimization of insurance contracts. Good knowledge of basic probability and statistics as well as of basic general mathematics is a prerequisite for comfortably reading and working with the present volume, which is intended for graduate students, practitioners and researchers and can serve as a reference resource for the main concepts and techniques.
Book Synopsis Systemic Financial Risk by : Alexander Karminsky
Download or read book Systemic Financial Risk written by Alexander Karminsky and published by Springer Nature. This book was released on with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Behavioral Predictive Modeling in Economics by : Songsak Sriboonchitta
Download or read book Behavioral Predictive Modeling in Economics written by Songsak Sriboonchitta and published by Springer Nature. This book was released on 2020-08-05 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques.
