A new computational method of input selection for stock market forecasting with neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3994 LNCS - IV, Issue , 2006, Pages 308-315

  Huang, Wei ^a,b   Wang, Shouyang ^b   Yu, Lean ^b   Bao, Yukun ^a   Wang, Lin ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MARKETING; NEURAL NETWORKS; TIME SERIES ANALYSIS;

DIFFERENT INPUT VARIABLES; STOCK MARKET FORECASTING;

COMPUTATIONAL METHODS;

EID: 33746606018     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11758549_46     Document Type: Conference Paper

References (11)

1. Hall, J. W.: Adaptive selection of US stocks with neural nets, in Trading on the edge: neural, genetic, and fuzzy systems for chaotic financial markets, G. J. Deboeck, Eds. New York: Wiley; (1994) 45-65
2. Huang, W., Lai, K.K., Nakamori, Y. & Wang, S.Y:. Forecasting foreign exchange rates with artificial neural networks: a review. International Journal of Information Technology & Decision Making, 3(2004) 145-165
3. Huang, W., Nakamori, Y. & Wang, S.Y.: Forecasting Stock Market Movement Direction with Support Vector Machine. Computers & Operations Research, 32 (2005) 2513-2522
4. Neeraj, M., Pankaj, J., Kumar, L. A. & Goutam, D.: Artificial neural network models for forecasting stock price index in Bombay Stock Exchange. Working Papers with number 2005-10-01 in Indian Institute of Management Ahmedabad, Research and Publication Department, (2005)
5. Yim, J.: A comparison of neural networks with time series models for forecasting returns on a stock market index. Lecture Notes in Computer Science, Vol. 2358, Springer-Verlag Berlin Heidelberg (2002)
6. Yu, S. W.: Forecasting and arbitrage of the Nikkei stock index futures: an application of backpropagation networks. Asia-Pacific Financial Markets, 6(1999) 341-354
7. Qi, M. & Zhang, G. P.: An investigation of model selection criteria for neural network time series forecasting. European Journal of Operational Research, 132(2001) 666-680
8. Embrechts, M., Cader, M. & Deboeck, G. J.: Nolinear dimensions of foreign exchange, stock and bond markets, in Trading on the edge: neural, genetic, and fuzzy systems for chaotic financial markets, G. J. Deboeck, Eds. New York: Wiley, (1994) 297-313
9. Oh K. J. & Kim, K.: Analyzing stock market tick data using piecewise nonlinear model. Expert Systems with Applications, 22(2002) 249-255
10. Zhang, G.P.: Neural Networks in Business Forecasting. Idea Group Inc., (2003)
11. Huang, W., Nakamori, Y., Wang, S.Y. & Zhang, H.: Select the size of training set for financial forecasting with neural networks. Lecture Notes in Computer Science, Vol. 3497, Springer-Verlag Berlin Heidelberg (2005) 879-884