The Kalman Filter in Finance, Wells

Автор: Harvey, Andrew C.
Название: Forecasting, structural time series models and the kalman filter
ISBN: 0521405734 ISBN-13(EAN): 9780521405737
Издательство: Cambridge Academ
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Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.

Автор: Ramazan Gen?§ay
Название: An Introduction to Wavelets and Other Filtering Methods in Financ
ISBN: 0122796705 ISBN-13(EAN): 9780122796708
Издательство: Elsevier Science
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Цена: 17685.00 р.
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Описание: Presents a unified view of filtering techniques with a focus on wavelet analysis in finance and economics. This title emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series.

Автор: C. Wells
Название: The Kalman Filter in Finance
ISBN: 9048146305 ISBN-13(EAN): 9789048146307
Издательство: Springer
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Цена: 23757.00 р.
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Описание: A non-technical introduction to the question of modeling with time-varying parameters, using the beta coefficient from Financial Economics as the main example. The book concludes with further examples of how the Kalman filter may be used in estimation models used in analyzing other aspects of finance.

Автор: Harvey, A.c.
Название: Forecasting, structural time series models, and the kalman filter
ISBN: 0521321964 ISBN-13(EAN): 9780521321969
Издательство: Cambridge Academ
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Цена: 21384.00 р.
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Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.

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.
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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.