The Kalman Filter in Finance, C. Wells

Автор: Wells
Название: The Kalman Filter in Finance
ISBN: 0792337719 ISBN-13(EAN): 9780792337713
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Offers a non-technical introduction to the question of modeling with time-varying parameters. This book presents a number of tests for constant coefficients and then performs these tests on data from the Stockholm Exchange. It shows how the Kalman filter may be used in estimation models used in analyzing other aspects of finance.

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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Цена: 6018.00 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: Zarchan, Paul
Название: Fundamentals of Kalman Filtering
ISBN: 1563476940 ISBN-13(EAN): 9781563476945
Издательство: Mare Nostrum (Eurospan)
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Цена: 10692.00 р.
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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.