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Pathwise Estimation and Inference for Diffusion Market Models, Dokuchaev


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Цена: 117390.00T
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Автор: Dokuchaev
Название:  Pathwise Estimation and Inference for Diffusion Market Models
ISBN: 9781138591646
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1138591645
Обложка/Формат: Hardback
Страницы: 238
Вес: 0.53 кг.
Дата издания: 04.04.2019
Язык: English
Иллюстрации: 20 illustrations, black and white
Размер: 162 x 241 x 20
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Applied mathematics, MATHEMATICS / General,MATHEMATICS / Probability & Statistics / General
Основная тема: Financial Mathematics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book discusses contemporary techniques for inferring, from options and bond prices, the market participants` aggregate view on important financial parameters such as implied volatility, discount rate, and future interest rate, and their uncertainty thereof.

Methods for estimation and inference in modern econometrics

Автор: Anatolyev, Stanislav Gospodinov, Nikolay
Название: Methods for estimation and inference in modern econometrics
ISBN: 1439838240 ISBN-13(EAN): 9781439838242
Издательство: Taylor&Francis
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Цена: 102080.00 T
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Описание:

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book.





Topics covered include:







  • Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference


  • Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models


  • Non-conventional asymptotic tools that lead to improved finite sample inference, such as higher-order asymptotic analysis that allows for more accurate approximations via various asymptotic expansions, and asymptotic approximations based on drifting parameter sequences






Offering a unified approach to studying econometric problems, Methods for Estimation and Inference in Modern Econometrics links most of the existing estimation and inference methods in a general framework to help readers synthesize all aspects of modern econometric theory. Various theoretical exercises and suggested solutions are included to facilitate understanding.


Estimation and Inference in Nonparametric Frontier Models

Автор: Simar Leopold
Название: Estimation and Inference in Nonparametric Frontier Models
ISBN: 1601986661 ISBN-13(EAN): 9781601986665
Издательство: Неизвестно
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Цена: 91040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a thorough examination of this topic for students and researchers alike. While nonparametric estimators are widely used to estimate the productive efficiency of firms and other organizations, it is often done without any attempt to make statistical inference.


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