Volatilidade dos retornos e governança: um estudo de eventos da crise do subprime

The financial crisis that occurred between the years 2007 and 2008, known as the subprime crisis, has highlighted the governance of companies in Brazil and worldwide. To monitor the financial risk, quantitative tools of risk management were created in the 1990s, after several financial disasters. The market turmoil has also led companies to invest in the development and use of information, which are applied as tools to support process control and decision making. Numerous empirical studies on informational efficiency of the market have been made inside and outside Brazil, revealing whether the prices reflect the information available instantly. The creation of different levels of corporate governance on BOVESPA, in 2000, made the firms had greater impairment in relation to its shareholders with greater transparency in their information. The purpose of this study is to analyze how the subprime financial crisis has affected, between January 2007 and December 2009, the volatility of stock returns in the BM&BOVESPA of companies with greater liquidity at different levels of corporate governance. From studies of time series and through the studies of events, econometric tests were performed by the EVIEWS, and through the results obtained it became evident that the adoption of good practices of corporate governance affect the volatility of returns of companies

Eficiência técnica dos produtores familiares no Projeto de Irrigação do Baixo Açu/RN

SILVA, Jorge Luiz Mariano da. Eficiência técnica dos produtores familiares no projeto de irrigação do Baixo Açu/RN.In: CONGRESSO SA SOCIEDADE BRASILEIRA DE ECONOMIA E SOCIOLOGIA RURAL,42., 2004, Cuiabá - MT. Dinâmcias Setorias e Desevolvimento Regional, 2004.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

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

Avaliação da eficiência dos programas de pós-graduação acadêmicos em Administração, Contabilidade e Turismo

The Triennial Evaluation of Coordination for the Improvement of Higher Education Personnel (CAPES) is made according to several indicators, divided into several issues and items, and their weights. In these it is evident the importance of scientific periodicals. This study aims to evaluate the relative efficiency of post-graduate students in Business Administration, Accounting and tourism evaluated by CAPES in Brazil. The methodology used the data envelopment analysis - DEA (Data Envelopment Analysis). The data were obtained from the site and organized by the CAPES Qualis score. The analysis was performed by the DEA variable returns to scale, product-oriented (BCC-O), with data from the three-year periods 2004-2006 and 2007-2009. Among the main results are the average increase significantly the relative efficiency of the programs in the period 2007-2009 compared to 2004-2006 period, the highest average efficiency of programs linked to public institutions in relation to private, doctoral programs with the present average efficiency sharply higher than those only with masters, and senior programs in general were more efficient. There is also moderate and significant correlation between the efficiency scores and concepts CAPES. The Malmquist index analysis showed that more than 85% of programs had increased productivity. It is noteworthy that the main effect that influences the increase of the Malmquist index is the displacement of the border (Frontier-shift)