Mapping scientific production on predictive models of insolvency in Brazil 2023

In Brazil, the most prominent insolvency prediction models are those of Kanitz (1978), Altman (1979), Matias (1978), Elizabetsky (1976) and Silva (1982), which have inspired scientific production in this regard. , especially in the last 20 years. However, the number of literature reviews or bibliometric mappings in this area is still low, with a representation of only 5% of the works gathered in this research. In this context, with the objective of answering about the accuracy of the reliability of Brazilian predictive models indicated in the literature, this research carried out a bibliometric mapping based on the CAPES and SPELL bibliographic databases. Forty-two articles resulting from the search for the terms “insolvency” and “forecasting models” in the aforementioned databases were extracted and analyzed. The results indicate that researchers of predictive models frequently made a relationship between them and the financial and business market; and that most of the researches carried out had as objective the construction of a new predictive model, being the probable reason for this presented in the answer to the question of this article: it was found that the accuracy of the reliability of the already existing predictive models is not satisfactory. Thus, this research, which is qualitative, contributes to the mapping of work on insolvency prediction developed in Brazil and to the understanding of its thematic outline.

Autores	Barbosa, AAD; Nobre, FC
Título	Mapping scientific production on predictive models of insolvency in Brazil
Afiliaciones	Universidade Federal Rural do Semi-Arido (UFERSA); Universidade Metodista de Piracicaba
Año	2023
DOI	10.7769/gesec.v14i1.1540
Tipo de acceso abierto	gold
Referencia	WOS:000925559800003
Artículo obtenido de:	WOS

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Mapping scientific production on predictive models of insolvency in Brazil

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