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Authors: Veselin L. Shahpazov 1 ; Lyubka A. Doukovska 1 and Dimitar N. Karastoyanov 2

Affiliations: 1 Bulgarian Academy of Sciences, Bulgaria ; 2 Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria

Keyword(s): Artificial Neural Network, Business, Predicting Stock Prices, Review, Historic Development.

Abstract: The interest in using artificial neural networks (ANN’s) for forecasting has led to a tremendous surge in research activities over time. Artificial Neural Networks are flexible computing frameworks and universal approximators that can be applied to a wide range of time series forecasting problems with a high degree of accuracy. Forecasting problems arise in so many different disciplines and the literature on forecasting using ANN’s is scattered in so many diverse fields that it is hard for a researcher to be aware of all the work done to date in the area. There is an extensive literature in financial applications of ANN’s. Naturally forecasting stock price or financial markets has attracted considerable interest and it has been one of the biggest challenges. This paper reviews the history of the application of artificial neural networks for forecasting future stock prices. From the introduction of the back-propagation algorithm in 1980’s for training an MLP neural network by Werbos, who used this technique to train a neural network and claimed that neural networks are better than regression methods and Box-Jenkins model in prediction problems through the application of such technics to financial markets forecasting by pioneers in the field like White, Kimoto and Kamijo to the more recent studies of stocks prices in not only the biggest capital markets but also in some emerging and illiquid markets, we will look at the progress made in the past more than twenty five years of research. (More)

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Paper citation in several formats:
L. Shahpazov, V. ; Doukovska, L. and Karastoyanov, D. (2014). Artificial Intelligence Neural Networks Applications in Forecasting Financial Markets and Stock Prices. In Proceedings of the Fourth International Symposium on Business Modeling and Software Design - BMSD; ISBN 978-989-758-032-1, SciTePress, pages 282-288. DOI: 10.5220/0005427202820288

@conference{bmsd14,
author={Veselin {L. Shahpazov} and Lyubka A. Doukovska and Dimitar N. Karastoyanov},
title={Artificial Intelligence Neural Networks Applications in Forecasting Financial Markets and Stock Prices},
booktitle={Proceedings of the Fourth International Symposium on Business Modeling and Software Design - BMSD},
year={2014},
pages={282-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005427202820288},
isbn={978-989-758-032-1},
}

TY - CONF

JO - Proceedings of the Fourth International Symposium on Business Modeling and Software Design - BMSD
TI - Artificial Intelligence Neural Networks Applications in Forecasting Financial Markets and Stock Prices
SN - 978-989-758-032-1
AU - L. Shahpazov, V.
AU - Doukovska, L.
AU - Karastoyanov, D.
PY - 2014
SP - 282
EP - 288
DO - 10.5220/0005427202820288
PB - SciTePress

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