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Presentation
Enhancing Security Selection in the Australian Stockmarket using Fundamental Analysis and Neural Networks
Information Technology papers
  • Bruce Vanstone, Bond University
  • Gavin Finnie, Bond University
  • Clarence Tan, Bond University
Date of this Version
9-1-2004
Document Type
Conference Paper
Publication Details
Vanstone B., Finnie G., Tan C. (2004) Enhancing Security Selection in the Australian Stockmarket using Fundamental Analysis and Neural Networks In: Proceedings of the 8th IASTED International conference on Artificial Intelligence and Soft Computing (ASC 2004) , Marbella, Spain, 1-3 September 2004

Copyright Acta Press 2004. All rights reserved. Permission granted.

The conference proceedings and journals generated by IASTED (International Association of Science and Technology for Development) are all published ACTA Press
Abstract

This paper examines financial trading from the aspect of security selection. In practice, it is unrealistic for a financial trader to participate in the full market of tradeable securities, and a selection mechanism must be employed to reduce the number of possible securities competing for investment capital. Essentially, there are two main methodologies used, namely, Fundamental Analysis, and Technical Analysis. This paper examines the practice of Fundamental Analysis, and demonstrates how neural networks can be practically employed to enhance the fundamentalist selection process.

Citation Information
Bruce Vanstone, Gavin Finnie and Clarence Tan. "Enhancing Security Selection in the Australian Stockmarket using Fundamental Analysis and Neural Networks" (2004)
Available at: http://works.bepress.com/clarence_tan/2/