Decision Support System for Investment Analysis

• Autor(a) principal: Silva, Gonçalo Capela Sanches Pereira da
• Data de Publicação: 2019
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/125331
• topic: Fundamental; Investment; Analysis; Decision; Support; Systems; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

The purpose of this thesis lies on selecting and automating a set of Fundamental Analysis indicators and studying related software tools that can help investors understanding market behaviour. The several distinct data-sources, tools and methods will be evaluated using a Decision Making process for Financial Markets. Sometimes there’s not enough data in which we can base the investment decision upon, other times the data lacks quality, while other times, despite having the right data, the problem lies on the process of analyzing the data and then turning that analysis into a concrete decision. Also, since the human decision making process is not well systemized, there are times when both the data and the analysis are well performed, but the results may vary even when confronted with similar data patterns more than once. This is particularly crucial when dealing with fast-paced environments like the Financial Markets. This thesis will therefore study tools for systemizing a Decision Making process based on fundamental analysis indicators over financial markets and will evaluate how such tools help to avoid uncertainty in human decision and to complement lack of data and poor data quality. There are two essential building blocks of such a system: the data set and the model that analyses the data and ultimately, provides information that facilitates the decision making process about a particular investment. Both blocks will be made available in the framework of the research project at GoBusiness Finance.