Abstract
This paper demonstrates how neural networks may be successfully applied to the problem of security selection in the Australian Stockmarket. In practice, it is unrealistic for a trader to apply capital to all securities available in the market, and a selection technique must be employed to reduce the number of securities competing for capital. Selection techniques are generally based on either fundamental analysis procedures, or technical analysis procedures. This paper focuses on fundamental procedures, and implements a neural network which enhances the effectiveness of these procedures.
| Original language | English |
|---|---|
| Pages | 206-211 |
| Number of pages | 7 |
| Publication status | Published - 2004 |
| Event | International Conference on Artificial Intelligence in Science and Technology - The University of Tasmania, Hobart, Australia Duration: 21 Nov 2004 → 24 Nov 2004 |
Conference
| Conference | International Conference on Artificial Intelligence in Science and Technology |
|---|---|
| Abbreviated title | AISAT |
| Country/Territory | Australia |
| City | Hobart |
| Period | 21/11/04 → 24/11/04 |
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