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Item Details
Title: NON-LINEAR TIME SERIES MODELS IN EMPIRICAL FINANCE
By: Philip Hans Franses, Dick van Dijk
Format: Hardback

List price: £104.00
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ISBN 10: 0521770416
ISBN 13: 9780521770415
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Publisher: CAMBRIDGE UNIVERSITY PRESS
Pub. date: 27 July, 2000
Pages: 298
Description: This 2000 volume reviews non-linear time series models, and their applications to financial markets.
Synopsis: Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and forecasting financial asset returns and their associated volatility. The models are analysed in detail and are not treated as 'black boxes'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.
Illustrations: 51 tables
Publication: UK
Imprint: Cambridge University Press
Returns: Returnable
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