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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© 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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