TY - CONF
T1 - Applying fundamental analysis and neural networks in the Australian Stockmarket
AU - Vanstone, Bruce J
AU - Finnie, Gavin
AU - Tan, Clarence
N1 - From: Michael Negnevitsky [[email protected]]
Sent: Wednesday, 11 April 2007 11:22 AM
To: Bruce Ibsen
Subject: Re: Permission to archive conference paper
Dear Bruce,
I am glad to grant you our permission to deposit an electronic version of a conference paper “Applying Fundamental Analysis and Neural Networks in the Australian Stockmarket†AISAT 2004 – International Conference on Artificial Intelligence in Science and Technology, University of Tasmania, 2004.†into Bond University’s Institutional Repository e-publications@bond for educational and research purposes.
Regards,
Michael Negnevitsky
Chair, AISAT 2004
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
M3 - Paper
SP - 206
EP - 211
T2 - International Conference on Artificial Intelligence in Science and Technology
Y2 - 21 November 2004 through 24 November 2004
ER -