Quality indices and their impact on the cost of equity of industrial companies in Brazil
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Publication Date: | 2022 |
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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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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 |
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Instituto Paulista de Ensino (FIPEN) |
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FIPEN |
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FIPEN |
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Revista Científica Hermes |
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Revista Científica Hermes |
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Revista Científica Hermes - Instituto Paulista de Ensino (FIPEN) |
repository.mail.fl_str_mv |
||hermes@fipen.edu.br |
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