Producción Científica

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.

The aim of the study is to conduct a bibliometric analysis of the scientific field of Behavioral Economics and Behavioral Finance. The research was conducted using the Web of Science database, which returned 2617 articles, revealing that the amount of research within these fields has grown over time. Furthermore, the results also prove the relevance of the works of Daniel Kahneman and Amos Tversky for the field of Behavioral Economics and Finance, and Steven Hursh to Behavioral Economics. It is still possible to note that the field of Behavioral Economics encompasses subjects that connect human behavior with demand, consumption and price, with investments and with managerial decisions, as well as with the role played by heuristics and cognitive biases in decision-making processes. In turn, the field of Behavioral Finance is more focused on the study of errors of judgment and of decision-making characteristics in financial investments. Additionally, it is inferred that the field of Behavioral Economics is more wide-ranging than the field of Behavioral Finance, as the latter is a byproduct of Behavioral Economics. Finally, a conclusion is then reached, demonstrating that the fields of Behavioral Economics and Finance have turned into an important field of study.