Nível de Governança Corporativa prediz o desempenho financeiro da empresa?  Evidências do mercado brasileiro por meio de redes neurais artificiais

Maestri, Cláudia Olímpia Neves Mamede; Tavares, Vitor Borges; Penedo, Antônio Sérgio Torres; Pereira, Vinícius Silva; Coelho, Rooney R. A.

doi:10.16930/2237-766220192796

Cited by 9 publications

(4 citation statements)

References 37 publications

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“…Their results proved the nonlinear correlation between financial performance and constructors' capabilities. Maestri et al (2019) proved that the neural networks model of financial performance forecast of the companies listed on the Brazil market obtained better accuracy than the models developed for non-listed companies.…”

Section: Business Performance Measurement and Prediction -Related Workmentioning

confidence: 97%

Composite Financial Performance Index Prediction – A Neural Networks Approach

Popa

Bogdan

et al. 2021

Journal of Business Economics and Management

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Financial indicators are the most used variables in measuring the business performance of companies, signaling about the financial position, comprehensive income, and other significant reporting aspects. In a competitive environment, the performance measurement model allows performing comparative analysis in the same industry and between industries. This paper aims to design a composite financial index to determine the financial performance of listed companies, further used in predicting business performance through neural networks. Principal components analysis was used to build a composite financial index, employing four traditional accounting indicators and four value-based indicators for the period 2011–2018. Five experiments were conducted to predict business performance through the composite financial index. The results showed that observations from two years, of the first three experiments, indicate a better predictive behavior than the same experiments using observations from one year. Therefore, we concluded that observations from more than one year are necessary to predict the value of the financial performance index. Findings led us to the conclusion that recurrent neural networks model predicted better financial performance composite index when taken into consideration more real data for the financial performance index (2012–2018) instead of just for one year (2018).

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Section: Business Performance Measurement and Prediction -Related Workmentioning

confidence: 97%

Composite Financial Performance Index Prediction – A Neural Networks Approach

Popa

Bogdan

et al. 2021

Journal of Business Economics and Management

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“…There is still no consensus about the set of variables and not a universal methodology for measuring or evaluating Corporate Governance in publicly traded companies. In short, the French companies presented more consolidated structures than the Brazilian companies, and evaluating Corporate Governance persists as a challenge in the theme, given the high variability of companies and the high investment that the adoption of good practices of governance demand (Fallatah & Dickins, 2012;Steger, 2015;Silva et al, 2016;Elston, 2019;Maestri et al, 2019). Table 8 presents the main results of the investigation of the relationships between the Quality Levels of Accounting Information and Corporate Governance with the Financial Performance of publicly-traded companies in the French and Brazilian markets.…”

Section: Smoothnessmentioning

confidence: 99%

Quality of accounting information, corporate governance and financial performance

Souza¹,

Fonseca²,

Martucheli³

2022

Rev. Cat. Cien. Cont.

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The Quality of Accounting Information and Corporate Governance influence the perception of investors about publicly traded companies. In view of this, this research explores the relationships among Quality of Accounting Information, Corporate Governance and Financial Performance of Brazilian and French companies. Thus, to demonstrate the existence of relationships among Quality of Accounting Information and Financial Performance of companies, governance structures and Financial Performance, and Quality of Accounting Information, governance structures and also Financial Performance of companies, a quantitative study of correlation among these dimensions was carried out. The relationships between quality and performance were statistically significant and have been proved. On the other hand, the relationships between governance and performance were strong, in view of the correlations found. Among the Financial Performance indicators, it is noteworthy that the profitability indicators are correlated with quality and governance more frequently than those of profitability. The result proved the initial assumptions about the existence of such relationships and showed that the French market reflected more evolution than the Brazilian market, that is, the relationships between Corporate Governance and Financial Performance were more evident in the case of French companies.

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“…Estudiar el desempeño de las IES desde el punto de vista del gobierno corporativo, más específicamente, su junta directiva, se vuelve imperativo en la medida que esta es un conjunto de mecanismos por los cuales los inversores se garantizan por si mismos el retorno de su inversión y los inversores externos se protegen contra la expropiación por parte de los insiders (SHLEIFER; VISHNY, 1997;MAESTRI et al, 2019). No obstante, los puestos de alta dirección de las IES -normalmente divididos entre juntas directivas (que Suelen ser los mantenedores) y el consejo ejecutivo (generalmente la parte de la rectoría y pro-rectorías)tienen el poder y responsabilidades primarias en las estrategias de las organizaciones, además de influir en la toma de decisiones (FERRERO-FERRERO et al, 2013;PRUDÊNCIO et al, 2021).…”

Section: Introductionunclassified

Características Del Perfil De Los Rectores Y Pro-Rectores De Los Centros Universitarios Brasileños Y Su Relación Con Desempeño Evaluativo De La Educación Superior

Tomal¹,

Martins²,

Hahn³

2023

VISÃO

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Este estudio tiene como objetivo analizar como las características del perfil de director ejecutivo de los centros universitarios en Brasil se reflejan en el desempeño de su institución en el Índice General de Cursos (IGC). El estudio utilizo como lente teórica las premisas de la Teoría de la Agencia y del Gobierno Corporativo, que surgió con la finalidad de reducir el llamado problema de agencia (intereses distintos entre la junta ejecutiva / rectores y pro-rectores – y los consejos de administración /mantenedores). Estas teorías sustentan el modelo gerencial de la gestión universitaria, que se estructura en mecanismos de GC principalmente dirigidos a controlar, rendición de cuentas y eficiencia. La investigación se utilizó una encuesta cuantitativa y descriptiva, y los datos se recopilarán a través de la Investigación Documental. Datos de los rectores y pro-rectores de setenta y seis Centros Universitarios Privados con Ánimo de Lucro fueron relacionándolas con las características de las IES y su desempeño en el IGC. Los resultados muestran que: (1) el área de formación a nivel de pregrado o posgrado de los rectores y pro-rectores no tiene impacto en el desempeño de las IES en el IGC; (2) los equipos sin diversidad de género tienen un desempeño más positivo en el IGC continuo en comparación con los equipos mixtos, todavía este resultado no se repite en el análisis del IGC, donde no hubo diferencia significativa entre los grupos.

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Nível de Governança Corporativa prediz o desempenho financeiro da empresa? Evidências do mercado brasileiro por meio de redes neurais artificiais

Cited by 9 publications

References 37 publications

Composite Financial Performance Index Prediction – A Neural Networks Approach

Composite Financial Performance Index Prediction – A Neural Networks Approach

Quality of accounting information, corporate governance and financial performance

Características Del Perfil De Los Rectores Y Pro-Rectores De Los Centros Universitarios Brasileños Y Su Relación Con Desempeño Evaluativo De La Educación Superior

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