A gestão da liquidez e o seu reflexo na rentabilidade das empresas pertencentes à Bovespa entre os anos de 1999 e 2008

• Autor(a) principal: Fonseca, Juliara Lopes da
• Data de Publicação: 2010
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• dARK ID: ark:/26339/00130000043j0
• Texto Completo: http://repositorio.ufsm.br/handle/1/4554
• topic: Gestão de liquidez; Capital de giro; Modelo Fleuriet; Dados em painel; Liquidity s management; Working capital; Fleuriet´s model; Panel data; CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO

One of the most problems faced by the financial manager is to maintain a balance between resources and applications of short and long term. Working Capital Management appears as a tool to improve the profitability of the company without representing a loss in their ability to pay. This study aims to evaluate if the financial performance achieved by companies belonging to the Stock Exchange of Sao Paulo, from 1999 to 2008, has a dependent relationship with the companies liquidity, measured by Fleuriet´s Model. Also know as Dynamic Analysis Model, the Fleuriet s Model consists of an analysis technique of balance sheets that evaluates the liquidity perspective of operations. and to that end, the balance sheet accounts are reclassified. In this study, the variable Fleuriet s Model was measured by three ways: first just from the perspective of liquidity, with the measurement of the Treasury s Balance and Liquidity s Index; and then from the perspective of the model as a whole, being taken an ordinal scale represent the possible financial structures. In relation to the financial performance adopted as a measure of corporate profitability, the Return on Equity (ROE), and a measure of stock return, the Earnings per Share (EPS). The corporate data used in calculo of variables were collected from financial statements, while the macroeconomic variables were obtained from institutions such as the IPEA and the Central Bank. The data were analyzed with a technical of Panel Data. The results of the initial estimate for the population, indicated that relationship of dependence between the ROE and the Fleuriet s Model and between the LPA and the Fleuriet s Model. When market sector is considered, the Fleuriet s Model is significant and has the opposite pattern expected. For the metalworking and steel industry, the variable Fleuriet s Model significant was Treasury s Balance. Since the textile sector presented the Liquidity s Index as a variable Fleuriet s Model significant. Finally, we have that, although it has been found relationship between the economic and financial performance and the Fleuriet s Model, the estimated models had low explanatory power, making it difficult to generalize the results.