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Stochastic Finance, Privault, Nicolas


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Автор: Privault, Nicolas
Название:  Stochastic Finance
ISBN: 9781466594029
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1466594020
Обложка/Формат: Hardback
Страницы: 441
Вес: 0.80 кг.
Дата издания: 20.12.2013
Серия: Chapman and hall/crc financial mathematics series
Язык: English
Иллюстрации: 104 illustrations, black and white
Размер: 240 x 154 x 35
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: An introduction with market examples
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Поставляется из: Европейский союз


      Новое издание
Introduction to stochastic finance with market examples

Автор: Privault, Nicolas (nanyang Technological University, Singapore)
Название: Introduction to stochastic finance with market examples
ISBN: 1032288264 ISBN-13(EAN): 9781032288260
Издательство: Taylor&Francis
Цена: 16078.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: This book presents an introduction to pricing and hedging in discrete and continuous time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance, covering the basics of stochastic calculus for finance.


Stochastic Calculus for Finance II

Автор: Shreve, Steven E.
Название: Stochastic Calculus for Finance II
ISBN: 0387401016 ISBN-13(EAN): 9780387401010
Издательство: Springer
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Цена: 7317.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: "A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions.

Stochastic Differential Equations

Автор: Oksendal
Название: Stochastic Differential Equations
ISBN: 3540047581 ISBN-13(EAN): 9783540047582
Издательство: Springer
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Цена: 7177.00 р.
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Описание: Gives an introduction to the basic theory of stochastic calculus and its applications. This book offers examples in order to motivate and illustrate the theory and show its importance for many applications in for example economics, biology and physics.

Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Stochastic Calculus for Finance I

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387249680 ISBN-13(EAN): 9780387249681
Издательство: Springer
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Цена: 7317.00 р.
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Numerical Solution of Stochastic Differential Equations with Jumps in Finance

Автор: Platen
Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance
ISBN: 3642120571 ISBN-13(EAN): 9783642120572
Издательство: Springer
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Цена: 11099.00 р. 15855.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability.

Analytically Tractable Stochastic Stock Price Models

Автор: Gulisashvili
Название: Analytically Tractable Stochastic Stock Price Models
ISBN: 3642312136 ISBN-13(EAN): 9783642312137
Издательство: Springer
Цена: 4866.00 р. 6951.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility.

Stochastic Dominance

Автор: Haim Levy
Название: Stochastic Dominance
ISBN: 3319330594 ISBN-13(EAN): 9783319330594
Издательство: Springer
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Цена: 15855.00 р.
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Описание: Stochastic Dominance: Investment Decision Making under Uncertainty, 3rd Ed. covers the following basic issues: the SD approach, asymptotic SD rules, the mean-variance (MV) approach, as well as the non-expected utility approach.

Mathematical modeling and computation in finance: with exercises and python and matlab computer codes

Автор: Oosterlee, Cornelis W (delft Univ Of Tech, The Netherlands & Centrum Wiskunde & Informatica (cwi), The Netherlands) Grzelak, Lech A. (delft Univ Of Te
Название: Mathematical modeling and computation in finance: with exercises and python and matlab computer codes
ISBN: 1786348055 ISBN-13(EAN): 9781786348050
Издательство: World Scientific Publishing
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Цена: 8712.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.Supplementary Material: Solutions Manual is available to instructors who adopt this textbook for their courses. Please contact sales@wspc.com.

Stochastic Financial Models

Автор: Kennedy, Douglas
Название: Stochastic Financial Models
ISBN: 1138381454 ISBN-13(EAN): 9781138381452
Издательство: Taylor&Francis
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Цена: 10717.00 р.
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Описание:

Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance. The author takes a classical applied mathematical approach, focusing on calculations rather than seeking the greatest generality.

Developed from the esteemed author's advanced undergraduate and graduate courses at the University of Cambridge, the text begins with the classical topics of utility and the mean-variance approach to portfolio choice. The remainder of the book deals with derivative pricing. The author fully explains the binomial model since it is central to understanding the pricing of derivatives by self-financing hedging portfolios. He then discusses the general discrete-time model, Brownian motion and the Black-Scholes model. The book concludes with a look at various interest-rate models. Concepts from measure-theoretic probability and solutions to the end-of-chapter exercises are provided in the appendices.

By exploring the important and exciting application area of mathematical finance, this text encourages students to learn more about probability, martingales and stochastic integration. It shows how mathematical concepts, such as the Black-Scholes and Gaussian random-field models, are used in financial situations.

An Introduction to Continuous-Time Stochastic Processes

Автор: Capasso
Название: An Introduction to Continuous-Time Stochastic Processes
ISBN: 3030696553 ISBN-13(EAN): 9783030696559
Издательство: Springer
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Цена: 6707.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations.

An Introduction to Computational Stochastic PDEs

Автор: Lord
Название: An Introduction to Computational Stochastic PDEs
ISBN: 0521899907 ISBN-13(EAN): 9780521899901
Издательство: Cambridge Academ
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Цена: 18216.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This comprehensive introduction to stochastic partial differential equations incorporates the effects of randomness into real-world models, offering graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. MATLAB (R) codes are included, so that readers can perform computations themselves and solve the test problems discussed.

Stochastic Filtering With Applications In Finance

Автор: Bhar Ramaprasad
Название: Stochastic Filtering With Applications In Finance
ISBN: 9814304859 ISBN-13(EAN): 9789814304856
Издательство: World Scientific Publishing
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Цена: 18216.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Suitable for graduate level courses on stochastic modeling, this title does not intend to give a complete mathematical treatment of different stochastic filtering approaches, but rather to describe them in simple terms and illustrate their application with real historical data for problems normally encountered in these disciplines.


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