Gordinho, Lavínia Sousa; https://orcid.org/0000-0002-8214-6614; https://buscatextual.cnpq.br/buscatextual/visualizacv.do
Resumen:
This study explores the complex interaction between accounting information and the decisions
made by investors in the Brazilian stock market. The aim was to investigate the predictive
capacity of Net Operating Assets (NOA), with the anticipation of identifying a strong negative
relationship with the future returns of companies' stocks in the Brazilian market. To achieve this
goal, we utilized the latest protocol for studying the predictability of future stock returns
through the NOA anomaly by Papanastasopoulos and Thomakos (2017), originally documented
by Hirshleifer et al. (2004) and subsequently elaborated upon by Papanastasopoulos,
Thomakos, and Wang (2011) in the North American and European contexts, where they found
that NOA serves as a strong and negative predictor of future stock returns. In this study, the
results confirmed the aforementioned findings due to the statistical significance of the
coefficient associated with this explanatory variable in the sample and model used in this
research. The originality of this research in the Brazilian context offers positive practical
implications for the stock market by presenting a measure of operational efficiency of
companies and influencing the construction of investment portfolios.