Determinantes da Estrutura de Capital de Companhias Abertas Brasileiras Não-Financeiras: Um Estudo Empírico com Dados em Painel

When a company desires to invest in a project, it must obtain resources needed to make the investment. The alternatives are using firm s internal resources or obtain external resources through contracts of debt and issuance of shares. Decisions involving the composition of internal resources, debt and shares in the total resources used to finance the activities of a company related to the choice of its capital structure. Although there are studies in the area of finance on the debt determinants of firms, the issue of capital structure is still controversial. This work sought to identify the predominant factors that determine the capital structure of Brazilian share capital, non-financial firms. This work was used a quantitative approach, with application of the statistical technique of multiple linear regression on data in panel. Estimates were made by the method of ordinary least squares with model of fixed effects. About 116 companies were selected to participate in this research. The period considered is from 2003 to 2007. The variables and hypotheses tested in this study were built based on theories of capital structure and in empirical researches. Results indicate that the variables, such as risk, size, and composition of assets and firms growth influence their indebtedness. The profitability variable was not relevant to the composition of indebtedness of the companies analyzed. However, analyzing only the long-term debt, comes to the conclusion that the relevant variables are the size of firms and, especially, the composition of its assets (tangibility).This sense, the smaller the size of the undertaking or the greater the representation of fixed assets in total assets, the greater its propensity to long-term debt. Furthermore, this research could not identify a predominant theory to explain the capital structure of Brazilian

Tangibilidade, classe de ativos e estrutura de capital das empresas listadas na BM&FBOVESPA

This study aims to investigate the influence of the asset class and the breakdown of tangibility as determinant factors of the capital structure of companies listed on the BM & FBOVESPA in the period of 2008-2012. Two current assets classes were composed and once they were grouped by liquidity, they were also analyzed by the financial institutions for credit granting: current resources (Cash, Bank and Financial Applications) and operations with duplicates (Stocks and Receivables). The breakdown of the tangible assets was made based on its main components provided as warrantees for loans like Machinery & Equipment and Land & Buildings. For an analysis extension, three metrics for leverage (accounting, financial and market) were applied and the sample was divided into economic sectors, adopted by BM&FBOVESPA. The data model in dynamic panel estimated by a systemic GMM of two levels was used in this study due its strength to problems of endogenous relationship as well as the omitted variables bias. The found results suggest that current resources are determinants of the capital structure possibly because they re characterized as proxies for financial solvency, being its relationship with debt positive. The sectorial analysis confirmed the results for current resources. The tangibility of assets has inverse proportional relationship with the leverage. As it is disintegrated in its main components, the significant and negative influence of machinery & equipment was more marked in the Industrial Goods sector. This result shows that, on average, the most specific assets from operating activities of a company compete for a less use of third party resources. As complementary results, it was observed that the leverage has persistence, which is linked with the static trade-off theory. Specifically for financial leverage, it was observed that the persistence is relevant when it is controlled for the lagged current assets classes variables. The proxy variable for growth opportunities, measured by the Market -to -Book, has the sign of its contradictory coefficient. The company size has a positive relationship with debt, in favor of static trade-off theory. Profitability is the most consistent variable in all the performed estimations, showing strong negative and significant relationship with leverage, as the pecking order theory predicts

Inserção de fornecedores locais como fonte de desempenhos em custos de transação e legitimidade: estudo de caso na cadeia produtiva do petróleo e gás do Rio Grande do Norte

The inclusion of local suppliers in production chains has considerable impact on its performance, but most notably in its main actors. The results of this process may be of different kinds and can be analyzed from economic or institutional approaches. This study aimed to verify the existence of different performances of Petrobras due to the inclusion of local suppliers in the oil and gas production chain in the state of Rio Grande do Norte, from the viewpoints of transaction costs and the Institutional Theory. In order to this, were made the characterization of the PROMINP, the description of its actions and results, the mapping of its institutional context of reference, and identification of results obtained by Petrobras in terms of transaction costs and legitimacy. The theoretical framework is based on authors dealing with industrial concentration, as like Marshall, Krugman, Porter and Schmitz, from the sociological perspective of neoinstitucional theory, as like DiMaggio and Powell and Scott and Meyer, and transaction costs, as like Williamson. This is a qualitative research, with data collection done by consulting secondary fonts and semi-structured interviews with nineteen actors of three groups, namely: actors involved in actions of the program, representatives of enterprises and representative of Petrobras. To analyze the content was used the Suchman s model (1995) for categories associated with strategies of legitimation and fourteen variables associated with the three variables assets specificity, bounded rationality and opportunism (Williamson, 1995, 1989) in the case of transaction costs. The results indicate that PROMINP has achieved its objectives by encouraging the increased participation of local companies in the oil and gas production chain, reflecting in the economic development of the state. The Redepetro/RN, fostered and built upon the interaction of the participants, is presented as a solution of continuity to the participation of enterprises in the chain, after the closure of the actions of the program. PROMINP demands responses to coercive, legislative and regulatory pressures of the organizational field, whose institutional context of reference is wide. From the point of view of legitimacy, through strategies to gain cognitive legitimacy and maintaining pragmatic legitimacy, Petrobras can manipulate the environment, ensuring the compliance of the constituents to their technical and institutional demands. Enterprises, in turn, respond to the demands through compliance with technical demands, mainly through the certification of processes, and cultural changes. There aren t clear gains related to the transaction costs, however, gains in legitimacy can be seen as a cumulative capital that can serve as a competitive differential that generates economic gains. In terms of theoretical findings, it was found that, due to its explanatory power for actions that are difficult to explain only in economic terms, Institutional Theory may be used as theoretical support concurrent with other theories. TCE model has limitations in explaining the program actions. In the case, it s emphasized that Petrobras doesn t seek only economic efficiency, but has in its mission the commitment to social development.

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