Jaromir Vrbka
Using Artificial Neural Networks for Timeseries Smoothing and Forecasting: Case Studies in Economics
Using Artificial Neural Networks for Timeseries Smoothing and Forecasting: Case Studies in Economics
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This publication aims to analyze and predict gold prices using statistical and econometric methods, including artificial intelligence techniques, and provides a comprehensive comparative analysis of the individual methods. It is intended for academic staff, students, scientists, and practitioners interested in time series prediction, particularly in financial markets.
Format: Paperback / softback
Length: 189 pages
Publication date: 06 September 2022
Publisher: Springer Nature Switzerland AG
This publication aims to identify and apply suitable methods for analyzing and predicting the time series of gold prices, while also providing an overview of the history and characteristics of these methods. It encompasses both statistical and econometric approaches, as well as artificial intelligence methods, and showcases their practical applications through case studies. The book offers a comprehensive comparative analysis of individual methods, making it valuable for academic staff, students of economics, scientists, and practitioners involved in time series prediction. Additionally, it can provide valuable insights for speculators and traders in financial markets, particularly in commodity markets.
The aim of this publication is to identify and apply suitable methods for analyzing 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.
Weight: 314g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030756512
Edition number: 1st ed. 2021
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