Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/30493
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dc.contributor.authorSousa, Virgíniapt_PT
dc.contributor.authorAlonso, Hugopt_PT
dc.date.accessioned2021-02-04T19:53:57Z-
dc.date.available2021-02-04T19:53:57Z-
dc.date.issued2020-
dc.identifier.issn1849-7535-
dc.identifier.urihttp://hdl.handle.net/10773/30493-
dc.description.abstractHaving the ability to predict the price of a particular stock share is undoubtedly a major challenge, because of the complexity and implied volatility of the financial markets. This is a topic of great interest to researchers and market players, as the effectiveness of the forecast might translate into huge monetary gains. This work aims to demonstrate the use of neural networks for stock price forecasting. Two financial titles are considered: Microsoft and Apple. The initial choice of the predictor variables comprises the most used and referenced in the scientific papers published on this subject. This work demonstrates the importance of a careful selection of some of those variables for a good neural network performance.pt_PT
dc.language.isoengpt_PT
dc.publisherVarazdin Development and Entrepreneurship Agency; University Northpt_PT
dc.relationUIDB/04106/2020pt_PT
dc.relationUIDP/04106/2020pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFinancial marketspt_PT
dc.subjectNeural networkspt_PT
dc.subjectStock sharept_PT
dc.subjectVariable selectionpt_PT
dc.titleOn the use of neural networks for stock price forecastingpt_PT
dc.typeconferenceObjectpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
ua.event.date19-20 novembro, 2020pt_PT
degois.publication.firstPage103pt_PT
degois.publication.lastPage112pt_PT
degois.publication.titleEconomic and Social Development: 62nd International Scientific Conference on Economic and Social Development: book of proceedingspt_PT
dc.relation.publisherversionhttps://www.esd-conference.com/upload/book_of_proceedings/Book_of_Proceedings_esdLisbon2020_Online.pdfpt_PT
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SCG - Comunicações

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