Stock price development forecasting using neural networks
Stock price forecasting is highly important for the entire market economy as well as the investors themselves. However, stock prices develop in a non-linear way. It is therefore rather complicated to accurately forecast their development. A number of authors are now trying to find a suitable tool fo...
Main Authors: | Vrbka Jaromír, Rowland Zuzana |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2017-01-01
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Series: | SHS Web of Conferences |
Subjects: | |
Online Access: | https://doi.org/10.1051/shsconf/20173901032 |
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