Parameter Estimation in Stochastic Volatility Models, Bishwal
Автор: Kubilius Название: Parameter Estimation in Fractional Diffusion Models ISBN: 331971029X ISBN-13(EAN): 9783319710297 Издательство: Springer Рейтинг: Цена: 16769.00 р. 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.
Автор: Bergomi Название: Stochastic Volatility Modeling ISBN: 1482244063 ISBN-13(EAN): 9781482244069 Издательство: Taylor&Francis Рейтинг: Цена: 13473.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Jaya P. N. Bishwal Название: Parameter Estimation in Stochastic Differential Equations ISBN: 3540744479 ISBN-13(EAN): 9783540744474 Издательство: Springer Рейтинг: Цена: 6282.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the estimation of the unknown parameters in the corresponding continuous models based on continuous and discrete observations and examines extensively maximum likelihood, minimum contrast and Bayesian methods.
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: 20580.00 р. 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.
Автор: Kubilius Kęstutis, Mishura Yuliya, Ralchenko Kostiantyn Название: Parameter Estimation in Fractional Diffusion Models ISBN: 331989031X ISBN-13(EAN): 9783319890319 Издательство: Springer Рейтинг: Цена: 16769.00 р. 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.
Автор: Karl-Rudolf Koch Название: Parameter Estimation and Hypothesis Testing in Linear Models ISBN: 3642084613 ISBN-13(EAN): 9783642084614 Издательство: Springer Рейтинг: Цена: 14667.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Cohen, Название: Parameter Estimation in Reliability and Life Span Models ISBN: 036740334X ISBN-13(EAN): 9780367403348 Издательство: Taylor&Francis Рейтинг: Цена: 6736.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily.
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: 13464.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: * In this book, authors Rachev, Kim, Bianchi, and Fabozzi present readers with the notions of risk and their corresponding performance measures.
Автор: Bernard C. Levy Название: Principles of Signal Detection and Parameter Estimation ISBN: 1441945652 ISBN-13(EAN): 9781441945655 Издательство: Springer Рейтинг: Цена: 10447.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive text addresses signal processing and communication applications with an emphasis on fundamental principles. It also looks at recent advances in the field such as sequential testing, Gaussian and Robust detection, and detection of Markov Chains.
Автор: Harvey Название: Dynamic Models for Volatility and Heavy Tails ISBN: 1107034728 ISBN-13(EAN): 9781107034723 Издательство: Cambridge Academ Рейтинг: Цена: 15682.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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