Abstract
This paper examines the problems associated with equity valuation and exposes the weaknesses of current computer based modelling systems. The paper identifies the necessary requirements of a strategic software system for equity valuation and proposes a software system with an integrated architecture, which combines both artificial intelligence technologies with conventional software. The paper then describes a powerful strategic software system, EXPRESS, developed by the authors to significantly de-skill and improve stock valuation. The EXPRESS system is a state-of the-art windows based application capable of performing the three accepted methods of stock valuation namely, quantitative, technical and fundamental analysis. The paper outlines the integrated architecture of EXPRESS and describes the function of each of the three integrated software systems, the EXPRESS decision support generator system, the EXPRESS artificial neural network system and the EXPRESS extension model system.
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References
D.R. Dolk. An Introduction to Model Integration & Integrated Modelling Environments. Decision Support Systems, 10, 1993.
J.J. Elam and B. Konsynski. Using AI Techniques to Enhance the Capabilities of Model Management Systems. Decision Science, 1987.
M.P. Foscolos. The Development of a Strategic Software System for Resource Equity Valuation. PhD thesis, Imperial College, University of London, 1996.
M.P. Foscolos and S. Nilchan. Improving Decision-Making in the Financial Market via the Probablistic Neural Network Paradigm. Neurove$t Journal, March 1997.
M.P. Foscolos, S. Nilchan, and P.E. Bell. Improving Financial Market Forcasts via the Recurrent Neural Network Paradigm. In AIC Modelling Techniques in Portfolio Management Conference, Inter-Continental Hotel, Sydney, Australia, August 1996.
M.P. Foscolos and C.T. Shaw. Fundamental Resource Equity Evaluation & Modelling. In IASTED International Conference of Applied Modelling and Simulation, Lugano, Switzerland, 1994.
D. King. Intelligent Decision Support: Strategies for Integrating Decision Support, Database Management and Expert System Technology. Expert Systems with Applications, 1, 1990.
T.J. Martin. Integration With Conventional Information Systems. In Watkins & Eliot, editor, Expert Systems in Business and Finance. Wiley & Son, 1993.
R.G. Ramirez, C. Ching, and R.D. Louise. Independence and Mappings in Model Decision Support Systems. Decision Support Systems, 10, 1993.
R.H. Sprague and J.H. Watson. Decision Support Systems. Prentice Hall, 1986.
G.S. Swales and Y. Yoon. Applying Neural Networks to Investment Analysis. Financial Analysts Journal, Sept/Oct 1992.
J.T.C. Tseng. A Unified Architecture for Intelligent DSS. In 21st HICSS, 1988.
E. Turban. Decision Support and Expert Systems-Management Support Systems. McMillan, 1988.
E. Turban. Expert Systems Integration with Computer Based Information Systems. In Watkins & Eliot, editor, Expert Systems in Business and Finance. Wiley & Son, New York, 1993.
W. Wu. An Integrated System Based on the Synergy Between Systems. In International Conference of the Systems Dynamic Society, June 1988.
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© 1998 Springer-Verlag Wien
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Foscolos, M.P., Nilchan, S. (1998). EXPRESS — A Strategic Software System for Equity Valuation. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_97
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DOI: https://doi.org/10.1007/978-3-7091-6492-1_97
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83087-1
Online ISBN: 978-3-7091-6492-1
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