Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/33680
metadata.artigo.dc.title: A credit risk analysis approach using the Fleuriet model
metadata.artigo.dc.creator: Prado, José Willer do
Carvalho, Francisval de Melo
Benedicto, Gideon Carvalho de
Alcântara, Valderí de Castro
Santos, Antônio Carlos dos
metadata.artigo.dc.subject: Dynamic model
Credit risk
Bankruptcies
Financial indicators
Modelo dinâmico
Risco de crédito
Falências
Indicadores financeiros
metadata.artigo.dc.publisher: Academia Brasileira de Ciências Contábeis
metadata.artigo.dc.date.issued: Jul-2018
metadata.artigo.dc.identifier.citation: PRADO, J. W. do et al. A credit risk analysis approach using the Fleuriet model. Revista de Educação e Pesquisa em Contabilidade, Brasília, v. 12, n. 3, p. 327-348, July./Sept. 2018.
metadata.artigo.dc.description.abstract: Objective: To construct a model that can assess the credit risk in Brazilian publicly-traded companies, using indicators from Fleuriet’s model of financial analysis. Method: Methodologically, the research was defined as quantitative, with a descriptive design. The financial statements were collected from Economática and the website BM&FBOVESPA. The sample consisted of 121 companies, being 70 solvent and 51 insolvent, from different sectors. Results: For the financial structure, working capital and working capital requirement indicators, the companies seek to achieve a constant growth model, expanding or gaining markets, in view of the continuing need for additional working capital over time. The results found for the liquidity thermometer demonstrate the importance of the financial accounts called treasury account to calculate the company’s short-term corporate liquidity and solvency. Finally, financial indebtedness as a structural index contributed significantly to the model. Contributions: This study can contribute to the Brazilian literature by evidencing that some of the indicators in Fleuriet’s model are significant to assess the credit risk in Brazilian publicly traded companies.
metadata.artigo.dc.identifier.uri: http://repositorio.ufla.br/jspui/handle/1/33680
metadata.artigo.dc.language: en_US
Appears in Collections:DAE - Artigos publicados em periódicos

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