Previsão de séries temporais no mercado financeiro de ações com o uso de rede neural artificial
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Tipo
Dissertação
Data de publicação
2018-08-03
Periódico
Citações (Scopus)
Autores
Carvalho, Valter Pereira de
Orientador
Silva, Leandro Augusto da
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Scarano, Paulo Rogério
Matsumoto, Elia Yathie
Matsumoto, Elia Yathie
Programa
Engenharia Elétrica
Resumo
This work proposes a study of the forecast of time series with the use of data obtained
from BOVESPA the basis of the values of the shares at the closing of the trading session.
For the forecast, an arti_cial neural network (RNA) with MLP (MultiLayer Perceptron)
architecture will be used. It will be shown through this prediction study of the financial
market how the neural network behaves and how it can be of great value for forecasts with
time series data. The analysis comprises the comparison between the forecast and the
efective closing price within established periods. The paper compares the MLP network
with the Random Walk Hypothesis. At the end of the study it is concluded that the
artificial neural network used for stock market forecasting is able to show results very
close to reality, and that this methodology can be used by individual and collective investors
to understand the behavior of the actions and to orient themselves on the possible
investment hypotheses.
Descrição
Palavras-chave
rede neural , RNA , MLP , BOVESPA , Random Wall , previsão , mercado financeiro
Assuntos Scopus
Citação
CARVALHO, Valter Pereira de. Previsão de séries temporais no mercado financeiro de ações com o uso de rede neural artificial. 2018. 59 f. Dissertação( Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo.