Are academic studies reliable in Brazil? Financial variables in an inflationary environment

Detalhes bibliográficos
Autor(a) principal: Machado, Luciana Maia Campos
Data de Publicação: 2019
Outros Autores: Eid, William
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/851
Resumo: After the stabilization of inflation rates in Brazil, Monetary Correction for financial data was extinguished. Since then, the distinct reflections of prices variations on monetary and non-monetary variables presented on balance sheets are no longer considered. From 2004 to 2013, however, the cumulative inflation reaches 226%. In this situation, questions about the reliability of the greatest tools we have in the finance research world - financial data of companies - emerges. This work compared financial indicators and empirical models built with data adjusted for inflation and original data issued by firms. A database of 143 Brazilian companies traded on Bovespa were adjusted for inflation, from 2004 to 2013, on the precepts of the extinct Monetary Correction. We obtained two different samples: the first containing financial data adjusted for inflation and the second corporate data originally released. Statistical tests showed that financial indicators such as ROI, Asset Turnover, Debt and Market-to-book are significantly higher when we do not consider the effects of inflation. In addition, the panel regression models, when adjusted, had higher predictable power (greater R²) and representative changes of significance on the variables and coefficients. The results indicated that inflation is essential in the analysis of financial data and must be considered in the preparation of reliable databases, although assumed as stable in recent years. 
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spelling Are academic studies reliable in Brazil? Financial variables in an inflationary environmentInflationMonetary CorrectionBrazilian dataAfter the stabilization of inflation rates in Brazil, Monetary Correction for financial data was extinguished. Since then, the distinct reflections of prices variations on monetary and non-monetary variables presented on balance sheets are no longer considered. From 2004 to 2013, however, the cumulative inflation reaches 226%. In this situation, questions about the reliability of the greatest tools we have in the finance research world - financial data of companies - emerges. This work compared financial indicators and empirical models built with data adjusted for inflation and original data issued by firms. A database of 143 Brazilian companies traded on Bovespa were adjusted for inflation, from 2004 to 2013, on the precepts of the extinct Monetary Correction. We obtained two different samples: the first containing financial data adjusted for inflation and the second corporate data originally released. Statistical tests showed that financial indicators such as ROI, Asset Turnover, Debt and Market-to-book are significantly higher when we do not consider the effects of inflation. In addition, the panel regression models, when adjusted, had higher predictable power (greater R²) and representative changes of significance on the variables and coefficients. The results indicated that inflation is essential in the analysis of financial data and must be considered in the preparation of reliable databases, although assumed as stable in recent years. Independent2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/85110.14807/ijmp.v10i2.851Independent Journal of Management & Production; Vol. 10 No. 2 (2019): Independent Journal of Management & Production; 459-4742236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/851/1006http://www.ijmp.jor.br/index.php/ijmp/article/view/851/1011Copyright (c) 2019 Luciana Maia Campos Machado, William Eidinfo:eu-repo/semantics/openAccessMachado, Luciana Maia CamposEid, William2019-05-01T03:09:49Zoai:www.ijmp.jor.br:article/851Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2019-05-01T03:09:49Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Are academic studies reliable in Brazil? Financial variables in an inflationary environment
title Are academic studies reliable in Brazil? Financial variables in an inflationary environment
spellingShingle Are academic studies reliable in Brazil? Financial variables in an inflationary environment
Machado, Luciana Maia Campos
Inflation
Monetary Correction
Brazilian data
title_short Are academic studies reliable in Brazil? Financial variables in an inflationary environment
title_full Are academic studies reliable in Brazil? Financial variables in an inflationary environment
title_fullStr Are academic studies reliable in Brazil? Financial variables in an inflationary environment
title_full_unstemmed Are academic studies reliable in Brazil? Financial variables in an inflationary environment
title_sort Are academic studies reliable in Brazil? Financial variables in an inflationary environment
author Machado, Luciana Maia Campos
author_facet Machado, Luciana Maia Campos
Eid, William
author_role author
author2 Eid, William
author2_role author
dc.contributor.author.fl_str_mv Machado, Luciana Maia Campos
Eid, William
dc.subject.por.fl_str_mv Inflation
Monetary Correction
Brazilian data
topic Inflation
Monetary Correction
Brazilian data
description After the stabilization of inflation rates in Brazil, Monetary Correction for financial data was extinguished. Since then, the distinct reflections of prices variations on monetary and non-monetary variables presented on balance sheets are no longer considered. From 2004 to 2013, however, the cumulative inflation reaches 226%. In this situation, questions about the reliability of the greatest tools we have in the finance research world - financial data of companies - emerges. This work compared financial indicators and empirical models built with data adjusted for inflation and original data issued by firms. A database of 143 Brazilian companies traded on Bovespa were adjusted for inflation, from 2004 to 2013, on the precepts of the extinct Monetary Correction. We obtained two different samples: the first containing financial data adjusted for inflation and the second corporate data originally released. Statistical tests showed that financial indicators such as ROI, Asset Turnover, Debt and Market-to-book are significantly higher when we do not consider the effects of inflation. In addition, the panel regression models, when adjusted, had higher predictable power (greater R²) and representative changes of significance on the variables and coefficients. The results indicated that inflation is essential in the analysis of financial data and must be considered in the preparation of reliable databases, although assumed as stable in recent years. 
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
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 http://www.ijmp.jor.br/index.php/ijmp/article/view/851
10.14807/ijmp.v10i2.851
url http://www.ijmp.jor.br/index.php/ijmp/article/view/851
identifier_str_mv 10.14807/ijmp.v10i2.851
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/851/1006
http://www.ijmp.jor.br/index.php/ijmp/article/view/851/1011
dc.rights.driver.fl_str_mv Copyright (c) 2019 Luciana Maia Campos Machado, William Eid
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Luciana Maia Campos Machado, William Eid
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 10 No. 2 (2019): Independent Journal of Management & Production; 459-474
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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