Quality indices and their impact on the cost of equity of industrial companies in Brazil

Bibliographic Details
Main Author: Securato, Tom Pessoa
Publication Date: 2022
Other Authors: Santos, José Odálio
Format: Article
Language: por
Source: Revista Científica Hermes
Download full: https://revistahermes.com.br/index.php/hermes1/article/view/620
Summary: The following study provides a verification on whether assets with high quality indicators, such as gross margin, are traded at a premium over the others. As quality metrics, financial indicators commonly adopted by the market were used, such as gross margin, Ebit margin, Ebitda margin, ROE, ROA, EV/net revenue and EV/Ebitda. The research was characterized as quantitative, using accounting and market data from companies in the industrial sector, from January 1995 to June 2018, to verify the magnitude of quality premiums and their power to explain returns on assets. Initially, an analysis of the seven chosen quality metrics was conducted, taking into account the correlation and the average number of companies per year. Then, the two-stage methodology of Fama and MacBeth (1973) was adopted. For the first stage, the premium for quality indicators was calculated following the model developed by Fama and French (1992). The calculated quality premiums proved to be robust and statistically significant at 1% over the period analyzed. Then, to verify whether the calculated risk factors would be valid for estimating the cost of equity, the Fama and MacBeth (1973) methodology was used. The work verified that the quality factor composed by the ROE financial indicator is statistically significant in estimating the cost of equity when used in conjunction with the market beta factor. It was also found that the proposed 2-factor model presented an explanatory power (Adjusted R2) higher than the CAPM – 27% and 43%, respectively.
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spelling Quality indices and their impact on the cost of equity of industrial companies in BrazilOs índices de qualidade e seu impacto no custo do capital próprio de empresas industriais no Brasilequity cost of capitalquality factorCAPMAPTcusto de capital própriofator de qualidadeCAPMAPT.The following study provides a verification on whether assets with high quality indicators, such as gross margin, are traded at a premium over the others. As quality metrics, financial indicators commonly adopted by the market were used, such as gross margin, Ebit margin, Ebitda margin, ROE, ROA, EV/net revenue and EV/Ebitda. The research was characterized as quantitative, using accounting and market data from companies in the industrial sector, from January 1995 to June 2018, to verify the magnitude of quality premiums and their power to explain returns on assets. Initially, an analysis of the seven chosen quality metrics was conducted, taking into account the correlation and the average number of companies per year. Then, the two-stage methodology of Fama and MacBeth (1973) was adopted. For the first stage, the premium for quality indicators was calculated following the model developed by Fama and French (1992). The calculated quality premiums proved to be robust and statistically significant at 1% over the period analyzed. Then, to verify whether the calculated risk factors would be valid for estimating the cost of equity, the Fama and MacBeth (1973) methodology was used. The work verified that the quality factor composed by the ROE financial indicator is statistically significant in estimating the cost of equity when used in conjunction with the market beta factor. It was also found that the proposed 2-factor model presented an explanatory power (Adjusted R2) higher than the CAPM – 27% and 43%, respectively.O seguinte estudo traz uma verificação se ativos com elevados indicadores de qualidade, como margem bruta, são negociados com um prêmio sobre os demais. Foram utilizados como métrica de qualidade indicadores financeiros comumente adotados pelo mercado, como margem bruta, margem Ebit, margem Ebitda, ROE, ROA, EV/receita líquida e EV/Ebitda. A pesquisa caracterizou-se como quantitativa, empregando dados contábeis e de mercado de empresas do setor industrial, de janeiro de 1995 a junho de 2018, para a verificação da magnitude dos prêmios de qualidade e seu poder em explicar os retornos dos ativos. Inicialmente, foi conduzida uma análise das sete métricas de qualidade escolhidas, levando-se em consideração a correlação e o número médio de empresas por ano. Adotou-se, em seguida, a metodologia de dois estágios de Fama e MacBeth (1973). Para o primeiro estágio, calculou-se o prêmio aos indicadores de qualidade seguindo o modelo elaborado por Fama e French (1992). Os prêmios de qualidade calculados mostraram-se robustos e estatisticamente significantes a 1% ao longo do período analisado. Em seguida, para verificar se os fatores de risco calculados seriam válidos à estimação do custo do capital próprio, utilizou-se a metodologia de Fama e MacBeth (1973). O trabalho verificou que o fator de qualidade composto pelo indicador financeiro ROE é estatisticamente significativo na estimação do custo do capital próprio quando utilizado com o fator beta de mercado. Verificou-se ainda que o modelo proposto de 2-fatores apresentou poder de explicação (R2 Ajustado) superior ao CAPM – 27% e 43%, respectivamente.Fernando de Almeida Santos2022-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistahermes.com.br/index.php/hermes1/article/view/62010.21710/rch.v31i0.620Revista Científica Hermes - Fipen; v. 31 (2022): abril ; 3-25Revista Cientí­fica Hermes ; Vol. 31 (2022): abril ; 3-25Revista Científica Hermes ; Vol. 31 (2022): abril ; 3-252175-055610.21710/rch.v31i0reponame:Revista Científica Hermesinstname:Instituto Paulista de Ensino (FIPEN)instacron:FIPENporhttps://revistahermes.com.br/index.php/hermes1/article/view/620/pdf10.21710/rch.v31i.620.g521Copyright (c) 2022 Tom Pessoa Securato, José Odálio Santoshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSecurato, Tom PessoaSantos, José Odálio2024-12-28T00:18:33Zoai:ojs.revistahermes.com.br:article/620Revistahttp://www.fipen.edu.br/hermes1/index.php/hermes1PUBhttp://www.fipen.edu.br/hermes1/index.php/hermes1/oai||hermes@fipen.edu.br2175-05562175-0556opendoar:2024-12-28T00:18:33Revista Científica Hermes - Instituto Paulista de Ensino (FIPEN)false
dc.title.none.fl_str_mv Quality indices and their impact on the cost of equity of industrial companies in Brazil
Os índices de qualidade e seu impacto no custo do capital próprio de empresas industriais no Brasil
title Quality indices and their impact on the cost of equity of industrial companies in Brazil
spellingShingle Quality indices and their impact on the cost of equity of industrial companies in Brazil
Securato, Tom Pessoa
equity cost of capital
quality factor
CAPM
APT
custo de capital próprio
fator de qualidade
CAPM
APT.
title_short Quality indices and their impact on the cost of equity of industrial companies in Brazil
title_full Quality indices and their impact on the cost of equity of industrial companies in Brazil
title_fullStr Quality indices and their impact on the cost of equity of industrial companies in Brazil
title_full_unstemmed Quality indices and their impact on the cost of equity of industrial companies in Brazil
title_sort Quality indices and their impact on the cost of equity of industrial companies in Brazil
author Securato, Tom Pessoa
author_facet Securato, Tom Pessoa
Santos, José Odálio
author_role author
author2 Santos, José Odálio
author2_role author
dc.contributor.author.fl_str_mv Securato, Tom Pessoa
Santos, José Odálio
dc.subject.por.fl_str_mv equity cost of capital
quality factor
CAPM
APT
custo de capital próprio
fator de qualidade
CAPM
APT.
topic equity cost of capital
quality factor
CAPM
APT
custo de capital próprio
fator de qualidade
CAPM
APT.
description The following study provides a verification on whether assets with high quality indicators, such as gross margin, are traded at a premium over the others. As quality metrics, financial indicators commonly adopted by the market were used, such as gross margin, Ebit margin, Ebitda margin, ROE, ROA, EV/net revenue and EV/Ebitda. The research was characterized as quantitative, using accounting and market data from companies in the industrial sector, from January 1995 to June 2018, to verify the magnitude of quality premiums and their power to explain returns on assets. Initially, an analysis of the seven chosen quality metrics was conducted, taking into account the correlation and the average number of companies per year. Then, the two-stage methodology of Fama and MacBeth (1973) was adopted. For the first stage, the premium for quality indicators was calculated following the model developed by Fama and French (1992). The calculated quality premiums proved to be robust and statistically significant at 1% over the period analyzed. Then, to verify whether the calculated risk factors would be valid for estimating the cost of equity, the Fama and MacBeth (1973) methodology was used. The work verified that the quality factor composed by the ROE financial indicator is statistically significant in estimating the cost of equity when used in conjunction with the market beta factor. It was also found that the proposed 2-factor model presented an explanatory power (Adjusted R2) higher than the CAPM – 27% and 43%, respectively.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistahermes.com.br/index.php/hermes1/article/view/620
10.21710/rch.v31i0.620
url https://revistahermes.com.br/index.php/hermes1/article/view/620
identifier_str_mv 10.21710/rch.v31i0.620
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistahermes.com.br/index.php/hermes1/article/view/620/pdf
10.21710/rch.v31i.620.g521
dc.rights.driver.fl_str_mv Copyright (c) 2022 Tom Pessoa Securato, José Odálio Santos
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Tom Pessoa Securato, José Odálio Santos
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Fernando de Almeida Santos
publisher.none.fl_str_mv Fernando de Almeida Santos
dc.source.none.fl_str_mv Revista Científica Hermes - Fipen; v. 31 (2022): abril ; 3-25
Revista Cientí­fica Hermes ; Vol. 31 (2022): abril ; 3-25
Revista Científica Hermes ; Vol. 31 (2022): abril ; 3-25
2175-0556
10.21710/rch.v31i0
reponame:Revista Científica Hermes
instname:Instituto Paulista de Ensino (FIPEN)
instacron:FIPEN
instname_str Instituto Paulista de Ensino (FIPEN)
instacron_str FIPEN
institution FIPEN
reponame_str Revista Científica Hermes
collection Revista Científica Hermes
repository.name.fl_str_mv Revista Científica Hermes - Instituto Paulista de Ensino (FIPEN)
repository.mail.fl_str_mv ||hermes@fipen.edu.br
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