Can I read Modelling and Forecasting Financial Data : Techniques of Nonlinear Dynamics on EtoBox?

Modelling and Forecasting Financial Data : Techniques of Nonlinear Dynamics by Abdol S. Soofi, Liangyue Cao (auth.), Abdol S. Soofi, Liangyue Cao (eds.) is a nonfiction available to read on EtoBox.

What is Modelling and Forecasting Financial Data : Techniques of Nonlinear Dynamics about?

Over the last decade, dynamical systems theory and related nonlinear methods have had a major impact on the analysis of time series data from complex systems. Recent 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 unparalleled opportunities for exploratory data analysis, modelling, forecasting, and control. Until now, research exploring the application of nonlinear dynamics and associated algorithms to the study of economies and markets as complex systems is sparse and fragmentary at best. 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 researcher

Who reads Modelling and Forecasting Financial Data : Techniques of Nonlinear Dynamics?

Author

Abdol S. Soofi, Liangyue Cao (auth.), Abdol S. Soofi, Liangyue Cao (eds.)

Publisher

Springer Science+Business Media, LLC

Published

2002

Language

EN

ISBN

9781461509318

Category

nonfiction

Subjects

Economics, Finance, Business

Updated

2026-03-24