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Computational Methods for Quantitative Finance, Norbert Hilber; Oleg Reichmann; Christoph Schwab;


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Цена: 65210.00T
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Автор: Norbert Hilber; Oleg Reichmann; Christoph Schwab;
Название:  Computational Methods for Quantitative Finance
ISBN: 9783642435324
Издательство: Springer
Классификация:



ISBN-10: 3642435327
Обложка/Формат: Paperback
Страницы: 299
Вес: 0.44 кг.
Дата издания: 07.03.2015
Серия: Springer Finance
Язык: English
Издание: 2013 ed.
Иллюстрации: 47 illustrations, color; 9 illustrations, black and white; xiii, 299 p. 56 illus., 47 illus. in color.
Размер: 234 x 156 x 17
Читательская аудитория: General (us: trade)
Основная тема: Mathematics
Подзаголовок: Finite Element Methods for Derivative Pricing
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

An Introduction to Modern Econometrics Using Stata

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
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Цена: 88800.00 T
Наличие на складе: Невозможна поставка.
Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.


Nonlinear Pricing Methods in Quantitative Finance

Автор: Guyon
Название: Nonlinear Pricing Methods in Quantitative Finance
ISBN: 1466570334 ISBN-13(EAN): 9781466570337
Издательство: Taylor&Francis
Рейтинг:
Цена: 183750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

New Tools to Solve Your Option Pricing Problems

For nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research--including Risk magazine's 2013 Quant of the Year--Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods.

Real-World Solutions for Quantitative Analysts

The book helps quants develop both their analytical and numerical expertise. It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors build intuition through numerous real-world examples of numerical implementation. Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs. The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + bλ technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.


Computational Methods in Plasma Physics

Автор: Jardin
Название: Computational Methods in Plasma Physics
ISBN: 1439810214 ISBN-13(EAN): 9781439810217
Издательство: Taylor&Francis
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Цена: 112290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Assuming no prior knowledge of plasma physics or numerical methods, Computational Methods in Plasma Physics covers the computational mathematics and techniques needed to simulate magnetically confined plasmas in modern magnetic fusion experiments and future magnetic fusion reactors. Largely self-contained, the text presents the basic concepts necessary for the numerical solution of partial differential equations.

Along with discussing numerical stability and accuracy, the author explores many of the algorithms used today in enough depth so that readers can analyze their stability, efficiency, and scaling properties. He focuses on mathematical models where the plasma is treated as a conducting fluid, since this is the most mature plasma model and most applicable to experiments. The book also emphasizes toroidal confinement geometries, particularly the tokamak--a very successful configuration for confining a high-temperature plasma. Many of the basic numerical techniques presented are also appropriate for equations encountered in a higher-dimensional phase space.

One of the most challenging research areas in modern science is to develop suitable algorithms that lead to stable and accurate solutions that can span relevant time and space scales. This book provides an excellent working knowledge of the algorithms used by the plasma physics community, helping readers on their way to more advanced study.


Market Risk Analysis : Quantitative Methods in Finance, Volume 1

Автор: Alexander
Название: Market Risk Analysis : Quantitative Methods in Finance, Volume 1
ISBN: 0470998008 ISBN-13(EAN): 9780470998007
Издательство: Wiley
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Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set.

Computational Methods for Quantitative Finance

Автор: Hilber Norbert
Название: Computational Methods for Quantitative Finance
ISBN: 3642354009 ISBN-13(EAN): 9783642354007
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Computational Methods in Geophysical Electromagnetics

Автор: Haber
Название: Computational Methods in Geophysical Electromagnetics
ISBN: 1611973791 ISBN-13(EAN): 9781611973792
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 69300.00 T
Наличие на складе: Нет в наличии.
Описание: Bridging the gap between theory and applications, this monograph provides a framework for the solution of electromagnetic imaging problems in geophysics. It provides a simple explanation of finite volume discretization; a full description of the basic concepts for solving inverse problems through optimization; a summary of applied electromagnetics methods; and MATLAB® code for efficient computation. The book will appeal to students and practitioners interested in computational science, data fitting, and applications to electromagnetics.

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: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


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: 1402008392 ISBN-13(EAN): 9781402008399
Издательство: Springer
Рейтинг:
Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computing has become essential for the modeling, analysis, and optimization of systems. This book deals with the algorithms, computational analysis, and decision models. It includes chapters that are organized in two parts: optimization models of decisions and models of pricing and equilibria.

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
Рейтинг:
Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Implementing Models in Quantitative Finance: Methods and Cases

Автор: Fusai
Название: Implementing Models in Quantitative Finance: Methods and Cases
ISBN: 3540223487 ISBN-13(EAN): 9783540223481
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book puts numerical methods in action for the purpose of solving practical problems arising in quantitative finance. Part one develops a comprehensive toolkit including Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, Laplace transforms and quadrature methods. Part two proposes eighteen self-contained cases covering model simulation, derivative valuation, dynamic hedging, portfolio selection, risk management, statistical estimation and calibration. It encompasses a wide variety of problems arising in markets for equity, interest rates, credit risk, energy and exotic derivatives. Each case introduces a problem, develops a detailed solution and illustrates empirical results. Proposed algorithms are implemented using either Matlab or Visual Basic. The book originates from class notes and case-studies developed within courses on Numerical Methods for Finance and Exotic Derivatives held by the authors at Bocconi University since the year 2000.


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