ETDs @PUC-Rio
| Título: | STOCK MARKET BEHAVIOR PREDICTION USING FINANCIAL NEWS IN PORTUGUESE | ||||||||||||
| Autor: |
HERALDO PIMENTA BORGES FILHO |
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| Colaborador(es): |
RUY LUIZ MILIDIU - Orientador |
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| Catalogação: | 27/AGO/2015 | Língua(s): | PORTUGUESE - BRAZIL |
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| Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
| Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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| Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25123&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25123&idi=2 |
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| DOI: | https://doi.org/10.17771/PUCRio.acad.25123 | ||||||||||||
| Resumo: | |||||||||||||
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A set of financial theories, such as the eficient market hypothesis and
the theory of random walk, says it is impossible to predict the future of
the stock market based on currently available information. However, recent
research has proven otherwise by finding a relationship between the content
of a news and current behavior of an stock. Our goal is to develop and
implement a prediction algorithm that uses financial news about joint-stock
company to predict the stock s behavior on the stock exchange. We use an
approach based on machine learning for the task of predicting the behavior
of an stock in positions of up, down or neutral, using quantitative and
qualitative information, such as financial. We evaluate our system on a
dataset with six thousand news and our experiments indicate an accuracy
of 68.57 percent for the task.
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