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Issue No.01 - January (2010 vol.43)
pp: 51-56
Robert P. Schumaker , Iona College
Hsinchun Chen , University of Arizona
ABSTRACT
The Arizona Financial Text system leverages statistical learning to make trading decisions based on numeric price predictions. Research demonstrates that AZFinText outperforms the market average and performs well against existing quant funds.
INDEX TERMS
Decision support, Text analysis, SVMs, Quantitative analysis
CITATION
Robert P. Schumaker, Hsinchun Chen, "A Discrete Stock Price Prediction Engine Based on Financial News", Computer, vol.43, no. 1, pp. 51-56, January 2010, doi:10.1109/MC.2010.2
REFERENCES
1. Z. Jelveh, "How a Computer Knows What Many Managers Don't," The New York Times,9 July 2006.
2. A. Lucchetti and J. Lahart, "Your Portfolio on AutoPilot: Brokerages Roll Out Software to Automate Trading Strategies: Risks of Becoming a 'Quant'," Wall Street J.,30 Sept. 2006, B1.
3. K. Burke, "Not the Man, but the Machine", 2006; www.registeredrep.com/moneymanagers/finance_not_man_machine index.html.
4. B. Le Baron, W.B. Arthur, and R. Palmer, "Time Series Properties of an Artificial Stock Market," J. Economic Dynamics and Control, vol. 23, nos. 9-10, 1999, pp. 1487-1516.
5. G.P.C. Fung et al., "News Sensitive Stock Trend Prediction," Proc. Pacific-Asia Conf. Knowledge Discovery and Data Mining (PAKDD 02), LNCS 2336, Springer, 2002, pp. 481-493.
6. Y. Yoon and G. Swales, "Predicting Stock Price Performance: A Neural Network Approach," Proc. 24th Hawaii Int'l Conf. System Sciences (HICSS-24), IEEE CS Press, 1991, vol. 154, pp. 156-162.
7. G. Cai and P. Wurman, "Monte Carlo Approximation in Incomplete Information: Sequential Auction Games," Decision Support Systems, vol. 39, no. 2, 2005, pp. 153-168.
8. D. Stauffer, "EconoPhysics—A New Area for Computational Statistical Physics?" Int'l J. Modern Physics C, vol. 11, no. 6, 2000, pp. 1081-1087.
9. R.J. Brachman et al., "Mining Business Data," Comm. ACM, vol. 39, no. 11, 1996, pp. 42-48.
10. R.P. Schumaker and H. Chen, "Textual Analysis of Stock Market Prediction Using Financial News Articles," Proc. 12th Americas Conf. Information Systems (AMCIS 06); www.icadl.org/intranet/papersTextual%20Analysis%20of%20Stock%20Market.pdf .
11. V. Vapnik, The Nature of Statistical Learning Theory, Springer, 1995.
12. F. Tay and L. Cao, "Application of Support Vector Machines in Financial Time Series Forecasting," Omega, Aug. 2001, pp. 309-317.
13. M. Mittermayer, "Forecasting Intraday Stock Price Trends with Text Mining Techniques," Proc. 37th Hawaii Int'l Conf. System Sciences (HICSS-37), IEEE CS Press, 2004, pp. 64-74.
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