Managerial Forecasting System Based on RBF Neural Network for Financial Data

摘要：

　　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.

关键词： Forecasting models neural networks MDS (Managerial Decision Making accuracy of forecasting models

作者: Dusan Marcek

作者单位: Research Institute of the IT4Innovations Centre of Excellence, The Silesian UniversityOpava, Czech Republic;The Faculty of Management Science and Informatics University of Zilina, Slovakia

会议类型: 国际会议

会议名称: 2013 International Conference on Information, Business and Education Technology (2013信息、商业与教育技术国际会议(ICIBET 2013))

会议地点: 北京

会议语种:英文

页码: 225-228

在线出版日期: 2013-03-14（万方平台首次上网日期，不代表论文的发表时间）