O credit scoring em apoio ao risco de crédito: a identificação de variáveis que contribuem no sucesso da implantação de empresas franqueadas

Abstract

The credit concession to companies that take part in the market consists in giving an active in a certain moment, with a promise to pay for this possession or right in a future date. Such situation is configured as an uncertain event, as there is the possibility that the obligation is not fulfilled by the promissory buyer, thus originating the credit risk. The concessor of the active that originates the credit risk is the one that should verify the client s capacity of fulfilling the future compromise, analyzing the variables that suggest the credit operation s success. The companies that are still being implanted are characterized not only by the absence of the variables mentioned above, but also by the considerable continuity risk increase. This situation is proved by researches made in companies that have been active for up to five years. The impossibility in measuring the credit capacity provided by this scenery, brings out a severe credit restriction to new companies, especially to the long term credit, necessary in this investment phase. However, this restriction is not verified in franchising, as the enterpriser has the privilege of initiating his business with investment credit that are ready in the market for this purpose. This study aims identifying which characteristics present in franchised companies allow the safe credit concession in the implantation phase by the financial institutions and if these characteristics can discriminate variables that are decisive in the success of the proponent franchising to the bank credit. The factorial analysis application in database with franchised companies successfully allowed the identification a group of seven main variables that serves as a basis to a logistic regression model and discriminating analysis. The logistic regression model has shown itself good to improve the probability of success of solvent companies whereas the discriminating analysis did not show any improvement in these results.