Stock Market Indices Prediction with Various Neural Network Models

Stock market Indices prediction is one of the most important issues in the financial field. Although many prediction models have been developed during the last decade, they suffer a poor performance because indices movement is highly non stationary and volati le dynamic process. Artificial Neural Network (ANN) is a technique that is heavily researched and widely used in stock market prediction [1][6]. However, there is no formal method to determine the optimal neural network for prediction purpose in the literature. This paper describes various Neural Network models for stock prediction. The prediction was done by, Modular Neural Network, ARIMA-based Neural Networks, Genetic Algorithm, Recurrent Network, Back propagation Network, Radial Basis Function, Branch Network, Functional Link Artificial Neural Network, Feed Forward Neural Network, Fuzzy Neural Network etc [8]. Analysis of all these Neural Network models is performed in this paper, as well as the future work.

[1]  M. Kosaka,et al.  Application Of Neural Network To Technical Analysis Of Stock Market Prediction , 2001 .

[2]  Ken'ichi Kamijo,et al.  Stock price pattern recognition-a recurrent neural network approach , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[3]  Jacek Mandziuk,et al.  Neuro-evolutionary approach to stock market prediction , 2007, 2007 International Joint Conference on Neural Networks.

[4]  João Paulo Carvalho,et al.  Market index prediction using fuzzy Boolean nets , 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

[5]  Tshilidzi Marwala,et al.  Forecasting closing price indices using neural networks , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[6]  Jinglu Hu,et al.  Application of multi-branch neural networks to stock market prediction , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[7]  Lakhmi C. Jain,et al.  Neural network applications , 1995, Proceedings Electronic Technology Directions to the Year 2000.

[8]  Jung-Hua Wang,et al.  Stock market trend prediction using ARIMA-based neural networks , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[9]  Kotaro Hirasawa,et al.  Multi-branch Neural Networks and Its Application to Stock Price Prediction , 2005, KES.

[10]  Bo K. Wong,et al.  Neural network applications in business: A review and analysis of the literature (1988-1995) , 1997, Decis. Support Syst..

[11]  Kazuo Asakawa,et al.  Stock market prediction system with modular neural networks , 1990, 1990 IJCNN International Joint Conference on Neural Networks.