942 resultados para Ativos financeiros


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Na literatura acadêmica sobre inovação em serviços o tema da aprendizagem se destaca como um processo capaz de alavancar capacidades dinâmicas da empresa a curto, médio e longo prazo através da criação e transmissão do conhecimento. Os resultados desse processo podem impactar positivamente o desempenho da organização e melhorar seu posicionamento entre os concorrentes. Com objetivo de contribuir para o debate nesta área, este trabalho tem como objetivo principal identificar evidências empíricas sobre ativos de conhecimento capazes de sustentar a inovação e impulsionar a vantagem competitiva do Serviço de Cirurgia Cardiovascular (SCC) do Hospital de Clínicas de Porto Alegre (HCPA). Vantagem competitiva é tratada neste trabalho como a capacidade de se distinguir de outros serviços de atendimento médico na área, identificando o que confere vantagem na disputa por investimentos públicos em inovações e tecnologias. Assim, a ideia central deste artigo é evidenciar a capacidade operacional/funcional que distingue o SCC dos outros serviços em termos de ativos de conhecimento gerados. Neste sentido, foram realizadas entrevistas semiestruturadas com o médico responsável pelo SCC e análise documental de aspectos relevantes em relação ao processo de aprendizagem e produção de conhecimento no SCC utilizando as seguintes fontes: (a) publicações da equipe presentes no currículo Lattes; (b) linhas de pesquisas em que o SCC atua, apresentadas nos sites do HPCA e do Programa de Pós Graduação em Cardiologia e Cirurgia Cardiovascular da Faculdade de Medicina da Universidade Federal do Rio Grande do Sul; e (c) redes de conhecimento médico especializado onde estão inseridos, que estão discriminadas no site da Rede Nacional de Terapia Celular. Os ativos do conhecimento foram classificados pela taxonomia proposta por Li and Tsai (2009). A dinâmica de circulação dos ativos de conhecimento observados neste estudo de caso foi analisada através do modelo teórico de Gallouj (2002) para inovações em serviços de saúde intensivos na produção de conhecimento. Os resultados obtidos demonstraram dois aspectos essenciais no processo de aprendizagem do serviço de saúde investigado: (a) o incremento cumulativo das capacidades tecnológicas únicas do SCC, as quais sustentam sua diferenciação no setor de forma única; e (b) inovação de procedimentos cirúrgicos de alta complexidade diretamente relacionados com sua capacidade dinâmica para responder rapidamente à volatilidade ambiental onde o SCC está inserido. Tais dados se caracterizam como relevantes para compreender de que forma um serviço desta natureza pode gerenciar seu conhecimento, aumentando seu impacto nas estratégias de vantagem competitiva sustentável.

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This paper presents a differential approach of financial mathematics developed in high school, focusing on financial education. We seek through the insertion of texts, analysis of some financial products and by the interpretation of problems to contribute to the financial training of students. Aiming to make financial mathematics more attractive and accessible to the day-today, there are available for studies some practical tools like the citizen calculator which are available for computers and mobile phones. As well as spreadsheets and software Geogebra, that allow you to compare and analyze the financial costs of consortia, financing and financial applications,in addition to being allied in the preparation and control of personal and family budget. By applying the teaching sequence proposed in a nocturnal class of high school, we realized some difficulties that have limited the financial learning of math concepts.Yet identified progress regarding the financial education of students. These observations were made through qualitative and quantitative analysis from notes in the field diary and also answers given by students in specific form.

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Mestrado em Contabilidade e Análise Financeira

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Mestrado em Contabilidade e Análise Financeira

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This work presents the development and modification of techniques to reduce the effects of load variation and mains frequency deviation in repetitive controllers applied to active power filters. To minimize the effects of aperiodic signals resulting from the connection or disconnection of non-linear loads is developed a technique which recognizes linear and nonlinear loads, and operates to reset the controller only when the error due to the transition of considerable value, and the transition is from non-linear to linear load. An algorithm to adapt the gain of the repetitive controller, based on a sigmoid function adaptation, in order to minimize the effects caused by random noise in the measurement system is also used. This work also analyzes the effects of frequency variation and presents the main methods to cope with this situation. Some solutions are the change in the number of samples per period and the variation of the sampling rate. The first has the advantage of using linear design techniques and results in a time invariant system. The second method changes the sampling frequency and leads to a time variant system that demands a difficult analysis of stability. The proposed algorithms were tested using the methods of truncation of the number of samples and the method of changing the sampling rate of the system to compensate possible frequency variations of the grid. Experimental results are presented to validate the proposal.

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Amidas graxas são compostos orgânicos nitrogenados derivados de ácidos carboxílicos, as quais contém em sua estrutura uma longa cadeia carbônica (C16- C24), possuindo ou não insaturações. Estes compostos podem ser encontrados em vegetais terrestres ou aquáticos, microorganismos e animais. Já em meados do século passado, a identificação de duas amidas graxas: a N-araquidonoiletanolamina (AEA, 5) e a cis-oleamida (cOA, 6), membros mais conhecidos e estudados desta família, devido as suas propriedades como indutora do sono fisiológico e canabinomimética respectivamente; levantou o interesse para a investigação das propriedades, identificação, síntese e isolamento de novas amidas graxas. Atualmente as pesquisas acerca das amidas graxas se devem as suas atividades biológicas tais como: aumento da libido sexual, analgesia, inseticida ou agente redutor da fome. Neste contexto, objetivo desse trabalho foi desenvolver metodologias para a síntese de novas amidas graxas. As amidas foram produzidas a partir de ácidos graxos, via cloreto de ácido ou via ésteres metílicos graxos, em rendimentos compreendidos entre 44% e 88%. Todos os compostos sintetizados foram caracterizados por espectroscopia de Infravermelho e RMN de 1H e 13C. Ensaios citotóxicos em células eritroleucêmicas K562 para a série das pirrolidil amidas demonstraram atividade citotóxica e capacidade de inibir proliferação celular em menos de 72 horas na concentração máxima de 1000µg/mL.

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Analisa a reversibilidade no setor de telecomunicações brasileiro.

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The presence of non-linear loads at a point in the distribution system may deform voltage waveform due to the consumption of non-sinusoidal currents. The use of active power filters allows significant reduction of the harmonic content in the supply current. However, the processing of digital control structures for these filters may require high performance hardware, particularly for reference currents calculation. This work describes the development of hardware structures with high processing capability for application in active power filters. In this sense, it considers an architecture that allows parallel processing using programmable logic devices. The developed structure uses a hybrid model using a DSP and an FPGA. The DSP is used for the acquisition of current and voltage signals, calculation of fundamental current related controllers and PWM generation. The FPGA is used for intensive signal processing, such as the harmonic compensators. In this way, from the experimental analysis, significant reductions of the processing time are achieved when compared to traditional approaches using only DSP. The experimental results validate the designed structure and these results are compared with other ones from architectures reported in the literature.

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The present report is the result of an applied research in the educational entities of the third sector, aiming to demonstrate whether the financial influences the perception of users on the image of those entities. For both used the prospect of integrative marketing relationship adapting to and developing a set of indicators which bore the measurement of images from the model of Machado et al (2005) and Kotler and Fox (1994). The sample included a total of 187 parents and financial responsibility in 03 (three) institutions of education in Natal / RN. These data were processed by multivariate statistical analysis, factor analysis, linear regression, analysis of cluster and discriminant analysis. The factor analysis also identified 6 images perceived by users of services. Next were the relationships of cause and effect between the financial and images formed. In discriminant analysis, was identified two distinct groups of parents and guardians with financial perceptions similar and well defined. The result of the work shows that the differential level of financial participation of parents and guardians not influence the formation of the images formed from educational institutions of the third sector

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Civil e Ambiental, 2016.

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This thesis intends to analyse the performance and the efficiency of companies and to identify the key factors that may explain it. A comprehensive analysis based on a set of economic and financial ratios was studied as an instrument which provides information on enterprise performance and its efficiency. It was selected a sample with 15 enterprises: 7 Portuguese and 8 Ukrainian ones, belonging to several industries. Financial and non-financial data was collected for 6 years, during the period of 2009 to 2014. Research questions that guided this work were: Are the enterprises efficient/profitable? What factors influence enterprises’ efficiency/performance? Is there any difference between Ukrainian and Portuguese enterprises’ efficiency/performance, which factors have more influence? Which industrial sector is represented by more efficient/profitable enterprises? The main results showed that in average enterprises were efficient; comparing by states Ukrainian enterprises are more efficient; industries have similar level of efficiency. Among factors that influence ATR positively are fixed and current assets turnover ratios, ROA; negatively influencing are EBITDA margin and liquidity ratio. There is no significant difference between models by country. Concerning profitability, enterprises have low performance level but in comparison of countries Ukrainian enterprises have better profitability in average. Regarding the industry sector, paper industry is the most profitable. Among factors influencing ROA are profit margin, fixed asset turnover ratio, EBITDA margin, Debt to equity ratio and the country. In case of profitability both countries have different models. For Ukrainian enterprises is suggested to pay attention on factors of Short-term debt to total debt, ROA, Interest coverage ratio in order to be more efficient; Profit margin and EBITDA margin to make their performance better. For Portuguese enterprises for improving efficiency the observation and improvement of fixed assets turnover ratio, current assets turnover ratio, Short-term financial debt to total debt, Leverage Ratio, EBITDA margin is suggested; for improving higher profitability track fixed assets turnover ratio, current assets turnover ratio, Debt to equity ratio, Profit margin and Interest coverage ratio is suggested.

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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model