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Financial Mathematics, Volatility and Covariance Modelling, 


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Цена: 27562.00р.
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Название:  Financial Mathematics, Volatility and Covariance Modelling
ISBN: 9781138060944
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1138060941
Обложка/Формат: Hardback
Страницы: 400
Вес: 0.69 кг.
Дата издания: 18.06.2019
Серия: Routledge advances in applied financial econometrics
Язык: English
Иллюстрации: 36 tables, black and white; 121 line drawings, black and white; 121 illustrations, black and white
Размер: 163 x 241 x 27
Читательская аудитория: Undergraduate
Ключевые слова: Econometrics, BUSINESS & ECONOMICS / General,BUSINESS & ECONOMICS / Econometrics,BUSINESS & ECONOMICS / Economics / General
Основная тема: Econometrics
Подзаголовок: Volume 2
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book provides a key repository on the current state of knowledge, the latest debates and recent literature on financial mathematics, volatility and covariance modelling.


Handbook of Volatility Models and Their Applications

Автор: Bauwens
Название: Handbook of Volatility Models and Their Applications
ISBN: 0470872519 ISBN-13(EAN): 9780470872512
Издательство: Wiley
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Цена: 23594.00 р.
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Описание: A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics.

Fitting Local Volatility: Analytic And Numerical Approaches

Автор: Itkin Andrey
Название: Fitting Local Volatility: Analytic And Numerical Approaches
ISBN: 9811212767 ISBN-13(EAN): 9789811212765
Издательство: World Scientific Publishing
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Цена: 12672.00 р.
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Описание:

The concept of local volatility as well as the local volatility model are one of the classical topics of mathematical finance. Although the existing literature is wide, there still exist various problems that have not drawn sufficient attention so far, for example: a) construction of analytical solutions of the Dupire equation for an arbitrary shape of the local volatility function; b) construction of parametric or non-parametric regression of the local volatility surface suitable for fast calibration; c) no-arbitrage interpolation and extrapolation of the local and implied volatility surfaces; d) extension of the local volatility concept beyond the Black-Scholes model, etc. Also, recent progresses in deep learning and artificial neural networks as applied to financial engineering have made it reasonable to look again at various classical problems of mathematical finance including that of building a no-arbitrage local/implied volatility surface and calibrating it to the option market data.

This book was written with the purpose of presenting new results previously developed in a series of papers and explaining them consistently, starting from the general concept of Dupire, Derman and Kani and then concentrating on various extensions proposed by the author and his co-authors. This volume collects all the results in one place, and provides some typical examples of the problems that can be efficiently solved using the proposed methods. This also results in a faster calibration of the local and implied volatility surfaces as compared to standard approaches.

The methods and solutions presented in this volume are new and recently published, and are accompanied by various additional comments and considerations. Since from the mathematical point of view, the level of details is closer to the applied rather than to the abstract or pure theoretical mathematics, the book could also be recommended to graduate students with majors in computational or quantitative finance, financial engineering or even applied mathematics. In particular, the author used to teach some topics of this book as a part of his special course on computational finance at the Tandon School of Engineering, New York University.

Stochastic Volatility in Financial Markets

Автор: Mele, Antonio, Fornari, Fabio
Название: Stochastic Volatility in Financial Markets
ISBN: 1461370450 ISBN-13(EAN): 9781461370451
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Stochastic Volatility in Financial Markets presents advanced topics in financial econometrics and theoretical finance, and is divided into three main parts.

Semiparametric Modeling of Implied Volatility

Автор: Fengler Matthias R.
Название: Semiparametric Modeling of Implied Volatility
ISBN: 3540262342 ISBN-13(EAN): 9783540262343
Издательство: Springer
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Цена: 8384.00 р.
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Описание: The implied volatility surface is a key financial variable for the pricing and the risk management of plain vanilla and exotic options portfolios alike. Consequently, statistical models of the implied volatility surface are of immediate importance in practice: they may appear as estimates of the current surface or as fully specified dynamic models describing its propagation through space and time.This book fills a gap in the financial literature by bringing together both recent advances in the theory of implied volatility and refined semiparametric estimation strategies and dimension reduction methods for functional surfaces: the first part of the book is devoted to smile-consistent pricing appoaches. The theory of implied and local volatility is presented concisely, and vital smile-consistent modeling approaches such as implied trees, mixture diffusion, or stochastic implied volatility models are discussed in detail. The second part of the book familiarizes the reader with estimation techniques that are natural candidates to meet the challenges in implied volatility modeling, such as the rich functional structure of observed implied volatility surfaces and the necessity for dimension reduction: non- and semiparametric smoothing techniques.The book introduces Nadaraya-Watson, local polynomial and least squares kernel smoothing, and dimension reduction methods such as common principle components, functional principle components models and dynamic semiparametric factor models. Throughout, most methods are illustrated with empirical investigations, simulations and pictures.

Dynamic Models for Volatility and Heavy Tails

Автор: Harvey
Название: Dynamic Models for Volatility and Heavy Tails
ISBN: 1107034728 ISBN-13(EAN): 9781107034723
Издательство: Cambridge Academ
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Цена: 15682.00 р.
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Описание: This book presents a statistical theory for a class of nonlinear time-series models. It has particular relevance for the modeling of volatility in financial time series but the overall approach will be of interest to econometricians and statisticians in a variety of disciplines.

High-Dimensional Covariance Matrix Estimation: An Introduction to Random Matrix Theory

Автор: Zagidullina Aygul
Название: High-Dimensional Covariance Matrix Estimation: An Introduction to Random Matrix Theory
ISBN: 3030800644 ISBN-13(EAN): 9783030800642
Издательство: Springer
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Цена: 9083.00 р.
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Описание: It draws attention to the deficiencies of standard statistical tools when used in the high-dimensional setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional asymptotics in an understandable and reader-friendly way.

The Stock Market: Bubbles, Volatility, and Chaos

Автор: G.P. Dwyer; R.W. Hafer
Название: The Stock Market: Bubbles, Volatility, and Chaos
ISBN: 9048157811 ISBN-13(EAN): 9789048157815
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Proceedings of the Thirteenth Annual Economic Policy Conference of the Federal Reserve Bank of St. Louis

Empirical Studies on Volatility in International Stock Markets

Автор: Eugenie M.J.H. Hol
Название: Empirical Studies on Volatility in International Stock Markets
ISBN: 1441953752 ISBN-13(EAN): 9781441953759
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Empirical Studies on Volatility in International Stock Markets describes the existing techniques for the measurement and estimation of volatility in international stock markets with emphasis on the SV model and its empirical application.

Parameter Estimation in Stochastic Volatility Models

Автор: Bishwal
Название: Parameter Estimation in Stochastic Volatility Models
ISBN: 3031038606 ISBN-13(EAN): 9783031038600
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy.

The Price of Fixed Income Market Volatility

Автор: Mele Antonio, Obayashi Yoshiki
Название: The Price of Fixed Income Market Volatility
ISBN: 3319799673 ISBN-13(EAN): 9783319799674
Издательство: Springer
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Цена: 8418.00 р.
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Описание: Fixed income volatility and equityvolatility evolve heterogeneously over time, co-moving disproportionatelyduring periods of global imbalances and each reacting to events of differentnature.

Nonlinear Time Series Analysis with Applications to Foreign Exchange Rate Volatility

Автор: Christian Hafner
Название: Nonlinear Time Series Analysis with Applications to Foreign Exchange Rate Volatility
ISBN: 379081041X ISBN-13(EAN): 9783790810417
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume examines nonlinear time series analysis with applications to foreign exchange rate volatility. Topics include: modelling volatility of financial time series; nonlinear time series analysis; ARCH models and extensions; non-parametric and semi-parametric models.

Stochastic Volatility Modeling

Автор: Bergomi
Название: Stochastic Volatility Modeling
ISBN: 1482244063 ISBN-13(EAN): 9781482244069
Издательство: Taylor&Francis
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Цена: 13473.00 р.
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Описание:

Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including:

  • Which trading issues do we tackle with stochastic volatility?
  • How do we design models and assess their relevance?
  • How do we tell which models are usable and when does calibration make sense?

This manual covers the practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility. In the course of this exploration, the author, Risk's 2009 Quant of the Year and a leading contributor to volatility modeling, draws on his experience as head quant in Soci t G n rale's equity derivatives division. Clear and straightforward, the book takes readers through various modeling challenges, all originating in actual trading/hedging issues, with a focus on the practical consequences of modeling choices.


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