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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting Synopsis

The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in general. Both statistical and econometric methods, and especially artificial intelligence methods, are used in the case studies. The publication presents both traditional and innovative methods on the theoretical level, always accompanied by a case study, i.e. their specific use in practice. Furthermore, a comprehensive comparative analysis of the individual methods is provided. The book is intended for readers from the ranks of academic staff, students of universities of economics, but also the scientists and practitioners dealing with the time series prediction. From the point of view of practical application, it could provide useful information for speculators and traders on financial markets, especially the commodity markets.

About This Edition

ISBN: 9783030756512
Publication date:
Author: Jaromír Vrbka
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 189 pages
Series: Studies in Computational Intelligence
Genres: Econometrics and economic statistics
Artificial intelligence