Modelling and Forecasting Financial Data

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Modelling and Forecasting Financial Data Description

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 [Read more...]

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