FAST: Fundamental Analysis Support for Financial Statements. Using semantics for trading recommendations

Alejandro Rodríguez-González (), Ricardo Colomo-Palacios (), Fernando Guldris-Iglesias (), Juan Miguel Gómez-Berbís () and Angel García-Crespo ()
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Alejandro Rodríguez-González: Universidad Carlos III de Madrid
Ricardo Colomo-Palacios: Universidad Carlos III de Madrid
Fernando Guldris-Iglesias: Universidad Carlos III de Madrid
Juan Miguel Gómez-Berbís: Universidad Carlos III de Madrid
Angel García-Crespo: Universidad Carlos III de Madrid

Information Systems Frontiers, 2012, vol. 14, issue 5, No 5, 999-1017

Abstract: Abstract Trading systems are tools to aid financial analysts in the investment process in companies. This process is highly complex because a big number of variables take part in it. Furthermore, huge sets of data must be taken into account to perform a grounded investment, making the process even more complicated. In this paper we present a real trading system that has been developed using semantic technologies. These cutting-edge technologies are very useful in this context because they enable the definition of schemes that can be used for storing financial information, which, in turn, can be easily accessed and queried. Additionally, the inference capabilities of the existing reasoning engines enable the generation of a set of rules supporting this investment analysis process.

Keywords: Trading system; Semantic technologies; Fundamental analysis; Reasoning (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s10796-011-9321-1

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