Managerial Forecasting System Based on RBF Neural Network for Financial Data
- 10.2991/icibet.2013.18How to use a DOI?
Forecasting systems are applied which are based on the latest statistical theory and artificial neural networks. The impact of these methods to risk reduction is judged in managerial decision-making. The fundamental question arises whether non-linear methods like neural networks can help modeling any non-linearities being inherent within the estimated statistical model. The proposed novel modeling approach is applied to high frequency time series of EUR/USD exchange rates (EUR currency against the US dollar. Our results show that the proposed neural approach achieves better forecast accuracy on the validation dataset than most available statistical techniques.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dusan Marcek PY - 2013/03 DA - 2013/03 TI - Managerial Forecasting System Based on RBF Neural Network for Financial Data BT - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013) PB - Atlantis Press SP - 82 EP - 85 SN - 1951-6851 UR - https://doi.org/10.2991/icibet.2013.18 DO - 10.2991/icibet.2013.18 ID - Marcek2013/03 ER -