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Computational Economics and Finance, Hal R. Varian


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Цена: 15372.00р.
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Автор: Hal R. Varian
Название:  Computational Economics and Finance
ISBN: 9781461275107
Издательство: Springer
Классификация:



ISBN-10: 1461275105
Обложка/Формат: Paperback
Страницы: 468
Вес: 0.84 кг.
Дата издания: 27.09.2011
Язык: English
Размер: 254 x 178 x 25
Основная тема: Mathematics
Подзаголовок: Modeling and Analysis with Mathematica®
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book/software package divulges the combined knowledge of a whole international community of Mathematica users - from the fields of economics, finance, investments, quantitative business and operations research.


Economics evolving: A History of Economic Thought

Автор: Sandmo, Agnar
Название: Economics evolving: A History of Economic Thought
ISBN: 0691148422 ISBN-13(EAN): 9780691148427
Издательство: Wiley
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Цена: 4752.00 р.
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Описание: Describes the history of economic thought, focusing on the development of economic theory from Adam Smith`s "Wealth of Nations" to the late twentieth century. This text examines how important economists have reflected on the sometimes conflicting goals of efficient resource use and socially acceptable income distribution.

Handbook of Computational and Numerical Methods in Finance

Автор: Svetlozar T. Rachev; George A. Anastassiou
Название: Handbook of Computational and Numerical Methods in Finance
ISBN: 1461264766 ISBN-13(EAN): 9781461264767
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The subject of numerical methods in finance has recently emerged as a new discipline at the intersection of probability theory, finance, and numerical analysis. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored.

Novel Methods in Computational Finance

Автор: Matthias Ehrhardt; Michael G?nther; E. Jan W. ter
Название: Novel Methods in Computational Finance
ISBN: 3319612816 ISBN-13(EAN): 9783319612812
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

This book discusses the state-of-the-art and open problems in computational finance. It presents a collection of research outcomes and reviews of the work from the STRIKE project, an FP7 Marie Curie Initial Training Network (ITN) project in which academic partners trained early-stage researchers in close cooperation with a broader range of associated partners, including from the private sector.

The aim of the project was to arrive at a deeper understanding of complex (mostly nonlinear) financial models and to develop effective and robust numerical schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial products. This was accomplished by means of financial modelling, mathematical analysis and numerical simulations, optimal control techniques and validation of models.

In recent years the computational complexity of mathematical models employed in financial mathematics has witnessed tremendous growth. Advanced numerical techniques are now essential to the majority of present-day applications in the financial industry.

Special attention is devoted to a uniform methodology for both testing the latest achievements and simultaneously educating young PhD students. Most of the mathematical codes are linked into a novel computational finance toolbox, which is provided in MATLAB and PYTHON with an open access license. The book offers a valuable guide for researchers in computational finance and related areas, e.g. energy markets, with an interest in industrial mathematics.

Tools for computational finance

Автор: Seydel, Rudiger U.
Название: Tools for computational finance
ISBN: 1447173376 ISBN-13(EAN): 9781447173373
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Using a `learning by calculating` approach, this comprehensive introductory text shows how stochastic computational methods are used across the field of finance. The revised and expanded fifth edition includes updates, as well as new material and exercises.

Computational Methods for Quantitative Finance

Автор: Norbert Hilber; Oleg Reichmann; Christoph Schwab;
Название: Computational Methods for Quantitative Finance
ISBN: 3642435327 ISBN-13(EAN): 9783642435324
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book introduces algorithms for fast, accurate pricing of derivative contracts. These are developed in classical Black-Scholes markets, and extended to models based on multiscale stochastic volatility, to Levy, additive and classes of Feller processes.

Handbook of Computational Finance

Автор: Jin-Chuan Duan; Wolfgang Karl H?rdle; James E. Gen
Название: Handbook of Computational Finance
ISBN: 3662507072 ISBN-13(EAN): 9783662507070
Издательство: Springer
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Цена: 40389.00 р.
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Описание: The latest volume in the Springer Handbooks of Computational Statistics series covers the full range of finance, including the modern class of financial tools, computational efficient algorithms, the pricing of complex products, risk behavior and much more.

Foundations of Mathematical and Computational Economics

Автор: Kamran Dadkhah
Название: Foundations of Mathematical and Computational Economics
ISBN: 3642423930 ISBN-13(EAN): 9783642423932
Издательство: Springer
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Цена: 19559.00 р.
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Описание: This is a book on the basics of mathematics and computation and their uses in economics for modern day students and practitioners. The reader is introduced to the basics of numerical analysis as well as the use of computer programs such as Matlab and Excel in carrying out involved computations.

Programming Languages and Systems in Computational Economics and Finance

Автор: Soren Bo Nielsen
Название: Programming Languages and Systems in Computational Economics and Finance
ISBN: 1461353696 ISBN-13(EAN): 9781461353690
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The developments within the computationally and numerically oriented ar- eas of Operations Research, Finance, Statistics and Economics have been sig- nificant over the past few decades.

Computational Methods in Decision-Making, Economics and Finance

Автор: Erricos John Kontoghiorghes; B. Rustem; S. Siokos
Название: Computational Methods in Decision-Making, Economics and Finance
ISBN: 1441952306 ISBN-13(EAN): 9781441952301
Издательство: Springer
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Цена: 41787.00 р.
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Описание: Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.

Computational Economics and Econometrics

Автор: H. Amman; D.A. Belsley; L.F Pau
Название: Computational Economics and Econometrics
ISBN: 9401053944 ISBN-13(EAN): 9789401053945
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The field of Computational Economics is a fast growing area. This volume of the Advanced Series in Theoretical and Applied and Econometrics comprises a selected number of papers in the field of computational economics presented at the Annual Meeting of the Society Economic Dynamics and Control held in Minneapolis, June 1990.

New Directions in Computational Economics

Автор: William W. Cooper; Andrew B. Whinston
Название: New Directions in Computational Economics
ISBN: 9401043302 ISBN-13(EAN): 9789401043304
Издательство: Springer
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Цена: 20962.00 р.
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Описание: New Directions in Computational Economics brings together for the first time a diverse selection of papers, sharing the underlying theme of application of computing technology as a tool for achieving solutions to realistic problems in computational economics and related areas in the environmental, ecological and energy fields.
Part I of the volume addresses experimental and computational issues in auction mechanisms, including a survey of recent results for sealed bid auctions. The second contribution uses neural networks as the basis for estimating bid functions for first price sealed bid auctions. Also presented is the smart market' computational mechanism which better matches bids and offers for natural gas.
Part II consists of papers that formulate and solve models of economics systems. Amman and Kendrick's paper deals with control models and the computational difficulties that result from nonconvexities. Using goal programming, Nagurney, Thore and Pan formulate spatial resource allocation models to analyze various policy issues. Thompson and Thrall next present a rigorous mathematical analysis of the relationship between efficiency and profitability. The problem of matching uncertain streams of assets and liabilities is solved using stochastic optimization techniques in the following paper in this section.
Finally, Part III applies economic concepts to issues in computer science in addition to using computational techniques to solve economic models.

Computational Techniques for Modelling Learning in Economics

Автор: Thomas Brenner
Название: Computational Techniques for Modelling Learning in Economics
ISBN: 1461372852 ISBN-13(EAN): 9781461372851
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics.


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