Applying fundamental analysis and neural networks in the Australian Stockmarket

Bruce J Vanstone, Gavin Finnie, Clarence Tan

Research output: Contribution to conferencePaperResearchpeer-review

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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 languageEnglish
Pages206-211
Number of pages7
Publication statusPublished - 2004
EventInternational Conference on Artificial Intelligence in Science and Technology - The University of Tasmania, Hobart, Australia
Duration: 21 Nov 200424 Nov 2004

Conference

ConferenceInternational Conference on Artificial Intelligence in Science and Technology
Abbreviated titleAISAT
Country/TerritoryAustralia
CityHobart
Period21/11/0424/11/04

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