998 resultados para REDES DE INFORMACION - BRASIL - CONGRESOS, CONFERENCIAS, ETC.
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Ps-graduao em Histria - FCHS
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Ps-graduao em Cincia da Informao - FFC
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Contiene antecedentes y lineamientos para formular e impulsar un programa regional de cooperacion entre redes y sistemas nacionales de informacion existentes en America Latina y el Caribe.
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El proyecto Implementacin del Centro nacional de datos, Augusto Espn, Ministerio de Telecomunicaciones y de la Sociedad de la Informacin del Ecuador. Computacin en la nube y polticas pblicas en Brasil, Rafael Henrique Rodrigues Moreira, Ministerio de Ciencia, Tecnologa e Innovacin de Brasil. La adopcin de la nube tiene mayor velocidad en Amrica Latina que en el resto del mundo, entrevista a Lalo Steinmann, Microsoft. Impacto de las redes de educacin e investigacin en el desarrollo de la computacin en la nube Eduardo Vera, Universidad de Chile. La nube ayuda a cerrar brechas al acceder a recursos tecnolgicos que antes eran impagables, entrevista a Luis Urza, Movistar Chile. Nuestras experiencias son replicables en los pases de la regin, entrevista a Jean-Bernard Gramunt, Agenda Digital de Francia. Si el uso en Amrica Latina llega a ser tan intenso como se prev, sera una buena oportunidad para generar y exportar tecnologa, entrevista a Flavio Junqueira, Yahoo! Labs. Breves.
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Ps-graduao em Psicologia - FCLAS
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Considering the relevance of researches concerning credit risk, model diversity and the existent indicators, this thesis aimed at verifying if the Fleuriet Model contributes in discriminating Brazilian open capital companies in the analysis of credit concession. We specifically intended to i) identify the economic-financial indicators used in credit risk models; ii) identify which economic-financial indicators best discriminate companies in the analysis of credit concession; iii) assess which techniques used (discriminant analysis, logistic regression and neural networks) present the best accuracy to predict company bankruptcy. To do this, the theoretical background approached the concepts of financial analysis, which introduced themes relative to the company evaluation process; considerations on credit, risk and analysis; Fleuriet Model and its indicators, and, finally, presented the techniques for credit analysis based on discriminant analysis, logistic regression and artificial neural networks. Methodologically, the research was defined as quantitative, regarding its nature, and explanatory, regarding its type. It was developed using data derived from bibliographic and document analysis. The financial demonstrations were collected by means of the Economtica and the BM$FBOVESPA website. The sample was comprised of 121 companies, being those 70 solvents and 51 insolvents from various sectors. In the analyses, we used 22 indicators of the Traditional Model and 13 of the Fleuriet Model, totalizing 35 indicators. The economic-financial indicators which were a part of, at least, one of the three final models were: X1 (Working Capital over Assets), X3 (NCG over Assets), X4 (NCG over Net Revenue), X8 (Type of Financial Structure), X9 (Net Thermometer), X16 (Net Equity divided by the total demandable), X17 (Asset Turnover), X20 (Net Equity Profitability), X25 (Net Margin), X28 (Debt Composition) and X31 (Net Equity over Asset). The final models presented setting values of: 90.9% (discriminant analysis); 90.9% (logistic regression) and 97.8% (neural networks). The modeling in neural networks presented higher accuracy, which was confirmed by the ROC curve. In conclusion, the indicators of the Fleuriet Model presented relevant results for the research of credit risk, especially if modeled by neural networks.
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Incluye bibliografa
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Fundao de Amparo Pesquisa do Estado de So Paulo (FAPESP)
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
