Modelo de previsão de insolvência de cooperativas de crédito mútuo urbanas

Abstract

Since the year of 2000 Brazilians credit cooperatives has experienced a increasing growth in number of units. On the other hand Brazilians banks decreased their number, by the process of acquisition and concentration. This growth may imply increasing risk for the associates. This paper empirically investigates the causes of failures of credit cooperatives of heath professionals in Brazil. A goal of this paper is provide a early warning model that inform managers and supervisors of a risks of default, by using logistic regression analysis of financial ratios. It was estimate a default prediction model that was parsimonious and accurate. This work provided additional information over other Brazilian studies of credit cooperatives failure by three ways: it is a national wide study, deals with urban mutual credit cooperative, uses modern statistic technique panel data which can capture the differences across cooperatives. It also provided a reasonable for the choosing of cut-off. The results suggest that provision for bad debts over total assets, total loans over total assets, total loans over total deposits are the most significant predictors of credit cooperative failure. Operational expenses over operational incomes and operational expenses over total assets, contrary, do not seem to be significant indicators of failure