Описание: Valuation of mortgage-backed securities requires blending empirical analysis of borrower behavior and mathematical modeling of interest rates and home prices, with recognition of various prices of risk and uncertainty. This book offers a detailed description of the sophisticated theories and advanced methods used for the real-world valuation of MBS.
Автор: Bikhchandani Название: The Analytics of Uncertainty and Information ISBN: 0521541964 ISBN-13(EAN): 9780521541961 Издательство: Cambridge Academ Рейтинг: Цена: 8395.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition, with a greater focus on game theory, attempts to unify recent developments in economic theories of uncertainty and information for students.
Автор: Sauter Oliver Название: Monetary Policy Under Uncertainty ISBN: 3658049731 ISBN-13(EAN): 9783658049737 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Oliver Sauter analyzes three aspects of monetary policy under uncertainty. The second aspect is the proper examination and incorporation of uncertainty into a monetary policy framework. Thirdly, he focuses on the quantification of uncertainty from two different perspectives, either from a market perspective or from a central bank perspective.
Автор: Consigli Название: Optimal Financial Decision Making under Uncertainty ISBN: 3319416111 ISBN-13(EAN): 9783319416113 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management.The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows:
Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas.Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applicationsThe inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods.Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems.Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.
Описание: For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments and applications are vital in dealing with the parameters taken to simplify the problem.Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.
Описание: The book introduces the New Keynesian framework, historically through a literature overview and through a step-by-step derivation of a New Keynesian Phillips curve, an intertemporal IS curve, and a targeting rule for the central bank. This basic version is then expanded by introducing cost and demand shocks and uncertainty. The latter enters the model via second order Taylor approximation instead of linearization. Bringing all equations together results in an equilibrium condition which is simulated with a wide range of parameter values, including possible crisis scenarios. The author finds that accounting for uncertainty – regarding growth and inflation expectations – can lead to lower nominal interest rates set by the central bank.
Автор: Sullivan, T.J. Название: Introduction to Uncertainty Quantification ISBN: 3319233947 ISBN-13(EAN): 9783319233949 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key mathematical and algorithmic tools underlying the treatment of uncertainty in modern applied mathematics. Students and readers alike are encouraged to apply the mathematical methods discussed in this book to their own favorite problems to understand their strengths and weaknesses, also making the text suitable for a self-study.
Uncertainty quantification is a topic of increasing practical importance at the intersection of applied mathematics, statistics, computation and numerous application areas in science and engineering. This text is designed as an introduction to UQ for senior undergraduate and graduate students with a mathematical or statistical background and also for researchers from the mathematical sciences or from applications areas who are interested in the field.
Автор: Chichilnisky Название: Markets, Information and Uncertainty ISBN: 0521082889 ISBN-13(EAN): 9780521082884 Издательство: Cambridge Academ Рейтинг: Цена: 6019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Leading theorists offer insights on the role of uncertainty and information in today`s market.
Автор: Jordaan Название: Decisions under Uncertainty ISBN: 0521369975 ISBN-13(EAN): 9780521369978 Издательство: Cambridge Academ Рейтинг: Цена: 12195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This 2005 book helps the reader to understand the tradeoffs between time, costs and risk in an engineering setting, and includes a wide range of case studies and worked examples. Equally valuable for graduate students, practising engineers, designers and project managers.
Автор: Kadane Название: Pragmatics Of Uncertainty ISBN: 1498719848 ISBN-13(EAN): 9781498719841 Издательство: Taylor&Francis Рейтинг: Цена: 16078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.
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