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.
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Hardcover. Zustand: new. Hardcover. The contributors to this volume assert that dynamical systems theory and related nonlinear methods have had a major impact on the analysis of time series data from complex systems. Contemporary developments in mathematical methods of state-space reconstruction, time-delay embedding and surrogate data analysis, coupled with readily accessible and powerful computational facilities used in gathering and processing massive quantities of high-frequency data, have provided theorists and practitioners with opportunities for exploratory data analysis, modelling, forecasting and control. This book brings together an accessible set of chapters that deal with the application of nonlinear dynamics and associated algorithms to the study of economies and markets as complex systems. To make such methods readily useful in practice, the contributors 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 brings together a coherent and accessible set of chapters on recent research results on this topic. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780792376804
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Zustand: New. Presents computer programs used to implement the methods discussed in the respective chapters. This book is suitable 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. Editor(s): Soofi, Abdol S.; Cao, Liangyue. Series: Studies in Computational Finance. Num Pages: 488 pages, biography. BIC Classification: KCH; KFF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 28. Weight in Grams: 901. . 2002. Hardback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9780792376804
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Hardcover. Zustand: new. Hardcover. The contributors to this volume assert that dynamical systems theory and related nonlinear methods have had a major impact on the analysis of time series data from complex systems. Contemporary developments in mathematical methods of state-space reconstruction, time-delay embedding and surrogate data analysis, coupled with readily accessible and powerful computational facilities used in gathering and processing massive quantities of high-frequency data, have provided theorists and practitioners with opportunities for exploratory data analysis, modelling, forecasting and control. This book brings together an accessible set of chapters that deal with the application of nonlinear dynamics and associated algorithms to the study of economies and markets as complex systems. To make such methods readily useful in practice, the contributors 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 brings together a coherent and accessible set of chapters on recent research results on this topic. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9780792376804
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