01.1 - Graduação (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/2
Navegar
3 resultados
Resultados da Pesquisa
Item Uso de Machine Learn para classificação de lançamentos financeiro: estudo comparativo entre modelo AutoML e Redes MLP(2022-10-10) Silva, Vinicius Mateus Mendonça da; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/6180002649065928The study of this work aims to help companies in their financial management by generating models based on Machine Learning to classify financial releases. With the help of libraries developed in the Python language, it was possible to train AutoML models and Multilayer Perceptron Neural Networks responsible for data classification. With results above 85% in the metrics of Accuracy, Recall, F-measure and Precision for both models, using them brings the possibility of better management of financial releases with less effort.Item A teoria do free banking no contexto econômico brasileiro: uma análise das implicações que podem emergir de um sistema bancário livre(2019) Nascimento, Victor Gabriel da Silva; Carazza, Luís Eduardo Barbosa; http://lattes.cnpq.br/1625397086677760This paper presents the financial model known as free banking or the Laisses-faire banking system, as a viable alternative to the current configuration of the Brazilian banking market. Given the oligopolistic character of this sector in the country, a model of greater freedom for banks can facilitate the entry of new institutions that can reduce the concentration and interest levels that traditional banks have. Considering the existence of five large banking institutions operating in Brazil that together hold a significant part of the market and behave in a cartelized manner. In another aspect, it is also intended to address the possibility of these institutions having the freedom to issue their own currencies, bringing the money market to the competitive market level.Item Avanços da tecnologia da informação sobre a concorrência no setor bancário de 2014 a 2018(2019) Filgueiras, Igor Fellype Loureiro Valença; Silva Filho, Guerino Edécio da; http://lattes.cnpq.br/2977795200183918; http://lattes.cnpq.br/8480123229873786Economic theory teaches that competition generates efficiency and tends to stimulate innovation. But to what extent could the entry of new financial institutions based on information technology influence such a consolidated sector as the banking segment? This paper aims to observe the advances of information technology on competition in this sector. Data for the elaboration of the research were taken from the Brazilian Federation of Banks Research (FEBRABAN), Central Bank of Brazil and the World Bank. It is a qualitative and quantitative research, whose data included information from the main traditional and digital banks in the country. Among the main results of the survey were the relatively lower rates found in digital banking services when compared to those of traditional banks and a possible change in dynamics in physical bank branches that may be changing with the absorption of new technologies by the sector.