Mathematical and Statistical Methods for Actuarial Sciences and Finance: Maf 2016, Corazza Marco, Legros Florence, Perna Cira
Автор: John Hull Название: Risk Management and Financial Institutions, 5 ed. ISBN: 1119448115 ISBN-13(EAN): 9781119448112 Издательство: Wiley Рейтинг: Цена: 15048.00 р. Наличие на складе: Поставка под заказ.
Описание: This management guide offers an introduction to the IT Capability Maturity Framework (IT-CMF), 2nd edition. The IT-CMF offers a comprehensive suite of tried and tested practices, organizational assessment approaches, and improvement roadmaps covering key IT capabilities needed to optimize value and innovation in the IT function and the wider organization. It enables organizations to devise more robust strategies, make better-informed decisions, and perform more effectively, efficiently, and consistently.IT-CMF is:¢ An integrated management toolkit covering 36 key capability management disciplines, with organizational maturity profiles, assessment methods, and improvement roadmaps for each. ¢ A coherent set of concepts and principles, expressed in business language, that can be used to guide discussions on setting goals and evaluating performance.¢ A unifying (or umbrella) framework that complements other, domain-specific frameworks already in use in the organization, helping to resolve conflicts between them, and filling gaps in their coverage. ¢ Industry/sector and vendor independent. IT-CMF can be used in any organizational context to guide performance improvement.¢ A rigorously developed approach, underpinned by the principles of Open Innovation and guided by the Design Science Research methodology, synthesizing leading academic research with industry practitioner expertise`IT-CMF provides us with a structured and systematic approach to identify the capabilities we need, a way to assess our strengths and weaknesses, and clear pathways to improve our performance.` Suresh Kumar,Senior Executive Vice President and Chief Information Officer, BNY Mellon`To successfully respond to competitive forces, organizations need to continually review and evolve their existing IT practices, processes, and cultural norms across the entire organization. IT-CMF provides a structured framework for them to dothat.` Christian Morales, Corporate Vice President and General Manager EMEA, Intel Corporation`We have successfully applied IT-CMF in over 200 assignments for clients. It just works. Or, as our clients confirm, it helps them create more value from IT.` Ralf Dreischmeier, Senior Partner and Managing Director, The Boston Consulting Group`By using IT-CMF, business leaders can make sure that the tremendous potential ofinformation technology is realized in their organizations.` Professor Philip Nolan, President, Maynooth University`I believe IT-CMF to be comprehensive and credible. Using the framework helps organizations to objectively identify and confirm priorities as the basis for driving improvements.`Dr Colin Ashurst, Senior Lecturer and Director of Innovation, Newcastle University Business School
Описание: This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance.
Описание: The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one.
Описание: The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one.
Автор: B?lviken Название: Computation and Modelling in Insurance and Finance ISBN: 0521830486 ISBN-13(EAN): 9780521830485 Издательство: Cambridge Academ Рейтинг: Цена: 18691.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This practical introduction outlines methods for analysing actuarial and financial risk at a fairly elementary mathematical level suitable for graduate students, actuaries and other analysts in the industry who could use simulation as a problem solver. Numerous exercises with R-code illustrate the text.
Автор: Jaime A. Londo?o; Jos? Garrido; Monique Jeanblanc Название: Actuarial Sciences and Quantitative Finance ISBN: 3319665340 ISBN-13(EAN): 9783319665344 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Developed from the Second International Congress on Actuarial Science and Quantitative Finance, this volume showcases the latest progress in all theoretical and empirical aspects of actuarial science and quantitative finance.
Описание: The insurance industry is among the most highly regulated industries today, and literature on the field is a complex thicket of sources. This valuable, one-of-a-kind resource is a comprehensive guide to locating and using information resources about the insurance industry.
Описание: The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial markets analysis; optimization in insurance; pricing; probability in actuarial sciences, insurance and finance; real world finance; risk management; solvency analysis; sovereign risk; static and dynamic portfolio selection and management; trading systems.This book is a valuable resource for academics, PhD students, practitioners, professionals and researchers, and is also of interest to other readers with quantitative background knowledge.
Описание: The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial markets analysis; optimization in insurance; pricing; probability in actuarial sciences, insurance and finance; real world finance; risk management; solvency analysis; sovereign risk; static and dynamic portfolio selection and management; trading systems.This book is a valuable resource for academics, PhD students, practitioners, professionals and researchers, and is also of interest to other readers with quantitative background knowledge.
Автор: Marco Corazza; Cira Perna; Marilena Sibillo; Flore Название: Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 3319502336 ISBN-13(EAN): 9783319502335 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume gathers selected peer-reviewed papers presented at the "International MAF Conference 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance" held in Paris at the University of Paris-Dauphine from March 30 to April 1, 2016.
Автор: Joshi Название: Introduction to Mathematical Portfolio Theory ISBN: 1107042313 ISBN-13(EAN): 9781107042315 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A concise yet comprehensive guide to the mathematics of portfolio theory from a modelling perspective, with discussion of the assumptions, limitations and implementations of the models as well as the theory underlying them. Aimed at advanced undergraduates, this book can be used for self-study or as a course text.
Автор: Jaime A. Londo?o; Jos? Garrido; Monique Jeanblanc Название: Actuarial Sciences and Quantitative Finance ISBN: 3319882651 ISBN-13(EAN): 9783319882659 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание: Developed from the Second International Congress on Actuarial Science and Quantitative Finance, this volume showcases the latest progress in all theoretical and empirical aspects of actuarial science and quantitative finance.
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