Using Artificial Neural Networks for Timeseries Smoothing and Forecasting: Case Studies in Economics

Author:   Jaromír Vrbka
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   979
ISBN:  

9783030756512


Pages:   189
Publication Date:   06 September 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting: Case Studies in Economics


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Overview

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.

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Author:   Jaromír Vrbka
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   979
Weight:   0.314kg
ISBN:  

9783030756512


ISBN 10:   3030756513
Pages:   189
Publication Date:   06 September 2022
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Time series and their importance to the economy.- Econometrics – selected models.- Artificial neural networks – selected models.- Comparison of different methods.- Conclusion.

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