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Parameter Estimation in Stochastic Volatility Models, Bishwal


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Цена: 139750.00T
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Автор: Bishwal
Название:  Parameter Estimation in Stochastic Volatility Models
ISBN: 9783031038631
Издательство: Springer
Классификация:

ISBN-10: 3031038630
Обложка/Формат: Soft cover
Вес: 0.00 кг.
Дата издания: 21.08.2023
Язык: English
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy. While there is ample research to document stochastic differential equation models driven by Brownian motion based on discrete observations of the underlying diffusion process, these traditional methods often fail to estimate the unknown parameters in the unobserved volatility processes. This text studies the second order rate of weak convergence to normality to obtain refined inference results like confidence interval, as well as nontraditional continuous time stochastic volatility models driven by fractional Levy processes. By incorporating jumps and long memory into the volatility process, these new methods will help better predict option pricing and stock market crash risk. Some simulation algorithms for numerical experiments are provided.
Дополнительное описание: Stochastic Volatility Models: Methods of Pricing, Hedging and Estimation.- Sequential Monte Carlo Methods.- Parameter Estimation in the Heston Model.- Fractional Ornstein-Uhlenbeck Processes, Levy-Ornstein-Uhlenbeck Processes and Fractional Levy-Ornstein-


Model Based Parameter Estimation

Автор: Hans Georg Bock; Thomas Carraro; Willi J?ger; Stef
Название: Model Based Parameter Estimation
ISBN: 3642440762 ISBN-13(EAN): 9783642440762
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book features papers from a workshop on parameter estimation held in 2009 in Heidelberg. It combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts.

Stochastic Volatility and Realized Stochastic Volatility Models

Автор: Takahashi
Название: Stochastic Volatility and Realized Stochastic Volatility Models
ISBN: 9819909341 ISBN-13(EAN): 9789819909346
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Нет в наличии.
Описание: This treatise delves into the latest advancements in stochastic volatility models, highlighting the utilization of Markov chain Monte Carlo simulations for estimating model parameters and forecasting the volatility and quantiles of financial asset returns. The modeling of financial time series volatility constitutes a crucial aspect of finance, as it plays a vital role in predicting return distributions and managing risks. Among the various econometric models available, the stochastic volatility model has been a popular choice, particularly in comparison to other models, such as GARCH models, as it has demonstrated superior performance in previous empirical studies in terms of fit, forecasting volatility, and evaluating tail risk measures such as Value-at-Risk and Expected Shortfall. The book also explores an extension of the basic stochastic volatility model, incorporating a skewed return error distribution and a realized volatility measurement equation. The concept of realized volatility, a newly established estimator of volatility using intraday returns data, is introduced, and a comprehensive description of the resulting realized stochastic volatility model is provided. The text contains a thorough explanation of several efficient sampling algorithms for latent log volatilities, as well as an illustration of parameter estimation and volatility prediction through empirical studies utilizing various asset return data, including the yen/US dollar exchange rate, the Dow Jones Industrial Average, and the Nikkei 225 stock index. This publication is highly recommended for readers with an interest in the latest developments in stochastic volatility models and realized stochastic volatility models, particularly in regards to financial risk management.

Pricing of Bond Options

Автор: Detlef Repplinger
Название: Pricing of Bond Options
ISBN: 3540707212 ISBN-13(EAN): 9783540707219
Издательство: Springer
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Цена: 79190.00 T
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Описание: Covers the development of a consistent unified model framework for the evaluation of bond options. In general options on zero bonds and options on coupon bearing bonds are linked by no-arbitrage relations through the correlation structure of interest rates.

Dynamic systems models

Автор: Boguslavskiy, Josif A.
Название: Dynamic systems models
ISBN: 3319040359 ISBN-13(EAN): 9783319040356
Издательство: Springer
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Цена: 104480.00 T
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Описание: Dynamic Systems Models

Stochastic Volatility Modeling

Автор: Bergomi
Название: Stochastic Volatility Modeling
ISBN: 1482244063 ISBN-13(EAN): 9781482244069
Издательство: Taylor&Francis
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Цена: 89820.00 T
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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.


Parameter Estimation and Hypothesis Testing in Linear Models

Автор: Karl-Rudolf Koch
Название: Parameter Estimation and Hypothesis Testing in Linear Models
ISBN: 3642084613 ISBN-13(EAN): 9783642084614
Издательство: Springer
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Цена: 97780.00 T
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Описание: Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, the multivariate model, the model with unknown variance and covariance components and the regression model as well as the mixed model for estimating random parameters.

Stochastic Calculus for Financial Modeling with Stochastic Volatility

Автор: Arbai Aziz
Название: Stochastic Calculus for Financial Modeling with Stochastic Volatility
ISBN: 6200434816 ISBN-13(EAN): 9786200434814
Издательство: Неизвестно
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Цена: 86330.00 T
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Parameter Estimation in Fractional Diffusion Models

Автор: Kubilius Kęstutis, Mishura Yuliya, Ralchenko Kostiantyn
Название: Parameter Estimation in Fractional Diffusion Models
ISBN: 331989031X ISBN-13(EAN): 9783319890319
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. In particular, models of financial markets demonstrate various kinds of memory and usually this memory is modeled by fractional Brownian diffusion.

Dynamic Systems Models: New Methods of Parameter and State Estimation

Автор: Boguslavskiy Josif A., Borodovsky Mark
Название: Dynamic Systems Models: New Methods of Parameter and State Estimation
ISBN: 3319791419 ISBN-13(EAN): 9783319791418
Издательство: Springer
Рейтинг:
Цена: 137200.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book demonstrates the use of polynomial approximation from the mathematical fundamentals, through algorithm development to practical applications such as aeroplane flight dynamics or biological sequence analysis. Includes illustrative worked examples.

Parameter Estimation in Reliability and Life Span Models

Автор: Clifford Cohen, A
Название: Parameter Estimation in Reliability and Life Span Models
ISBN: 0824779800 ISBN-13(EAN): 9780824779801
Издательство: Taylor&Francis
Рейтинг:
Цена: 193950.00 T
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Financial models with levy processes and volatility clustering

Автор: Rachev, Svetlozar T. Kim, Young Shim Bianchi, Mich
Название: Financial models with levy processes and volatility clustering
ISBN: 0470482354 ISBN-13(EAN): 9780470482353
Издательство: Wiley
Рейтинг:
Цена: 89760.00 T
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Описание: * In this book, authors Rachev, Kim, Bianchi, and Fabozzi present readers with the notions of risk and their corresponding performance measures.

Continuous Parameter Markov Processes and Stochastic Differential Equations

Автор: Bhattacharya
Название: Continuous Parameter Markov Processes and Stochastic Differential Equations
ISBN: 3031332946 ISBN-13(EAN): 9783031332944
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
Наличие на складе: Нет в наличии.


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