haku: @journal_id 86 / yhteensä: 1073
viite: 51 / 1073
| Tekijä: | Leigh, W. Paz, M. Purvis, R. |
| Otsikko: | An analysis of a hybrid neural network and pattern recognition technique for predicting short-term increases in the NYSE composite index |
| Lehti: | Omega
2002 : APR, VOL. 30:2, p. 69-76 |
| Asiasana: | Stock markets Forecasting Finance Decision making Networks USA |
| Vapaa asiasana: | Technical analysis |
| Kieli: | eng |
| Tiivistelmä: | In the paper, a method for combining template matching, from pattern recognition, and the feed-forward neural network, from artificial intelligence, to forecast stock market activity is introduced. The effectiveness of the method is evaluated for forecasting increases in the New York Stock Exchange (NYSE) Composite Index at a 5 trading day horizon. Results indicate that the technique is capable of returning results that are superiour to those attained by random choice. |
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