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Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics (Softcover Reprint of the Original 1st 2002)

Contributor(s): Soofi, Abdol S (Editor), Liangyue Cao (Editor)

ISBN: 9781461353102

Publisher: Springer

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Pub Date: November 9, 2012

Dewey: 332.015118

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 1.05" H x 9.21" L x 6.14" W ( 1.59 lbs) 488 pages

Series: Studies in Computational Finance

Descriptions, Reviews, etc.

Description: Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters.
Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.

Review Quotes: "This book is truly a multidisciplinary effort, with contributors including economists, electrical engineers, physicists, mathematicians, and statisticians (myself and Jianming Yé). Although there are many books on nonlinear dynamic techniques, Modelling and Forecasting Financial Data is distinguished by its concerted efforts on practical relevance in financial and economic applications."
(Z.-Q. John Lu, National Institute of Standards and Technology in Technometrics, 46:1 (February 2004)

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