Uma contribuição à gestão do risco de crédito baseado no modelo Raroc - retorno ajustado ao risco de capital

• Ano de defesa: 2002
• Autor(a) principal: Enomoto, Nelson Seiji
• Orientador(a): Kasznar, Istvan Karoly
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Link de acesso: https://hdl.handle.net/10438/8118

The implantation of Plano Real in 1994 provoked changes in the structure of Brazilian banks incomes. In times of high inflation taxes, the result of the banks was composed substantially by incomes originating from financing of the country national debt and in smaller portion of other incomes such as ofthe loans to the private section. With the stabilization of the economy and the globalization of the world finance markets, contemplated in the entrance of foreign banks in the Brazilian market, the interest rates tended to decrease, causing a change in the performance focus of the Banks that are concentrating on the financiaI intermediation. This project presents the basic formation of a bank result obtained with the financiaI intermediation and explains the risks of the bank activity. The credit's risk is in focus, including the description of the main analysis methodologies. It studies the CMN/BACEN no. 2682 Resolution that changed the accountancy of debt renegotiation incomes and established minimum parameters to classify the credit operations changing the criteria for constitution provision of doubtful clearance sale credits. The project explains how a RAROC model - Risk Adjusted Retum on Capital - developed originally by Bankers Trust - can be used for the credit portfolio management of a typical Retail Bank. For illustration, and considering that in the Brazilian market the statistical data about credit operations are rare, besides the difficulties in obtaining real credit data related to the bank secrecy and investment strategies, the RARO C model will be applied in a fictitious credit portfolio of a retail bank, especially made for that purpose. The study doesn't include the necessary resources for the implementation of the model, or customization for other types of Banks, limiting to the analysis of the use of the methodology. Finally, we presented our conclusions regarding the administration of credit risk based in the use of a RARO C model.