THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | RACE (Joaçaba. Online) |
Texto Completo: | https://periodicos.unoesc.edu.br/race/article/view/4065 |
Resumo: | According to Dechow and Dichev (2002) and Lin and Wu (2014), a high degree of earnings management (EM) is associated with a poor quality of information. In this sense, it is possible to assume that the financial data of companies that manage earnings can present different patterns from those with low degree of EM. The aim of this exploratory study is to test whether a financial data set (operating expenses) of companies with high degree of EM presents bias. For this analysis, we used the model of Kothari and the modified model of Jones (“Dechow model” hereafter) to estimate the degree of EM, and we used the logarithmic distribution of data predicted by the Benford’s Law to detect abnormal patterns of digits in number sets. The sample was composed of 845 international listed non-financial companies for the year 2010. To analyze the discrepancies between the actual and expected frequencies of the significant-digit, two statistics were calculated: Z-test and Pearson’s chi-square test. The results show that, with a confidence level of 90%, the companies with a high degree of EM according to the Kothari model presented similar distribution to that one predicted by the Benford’s Law, suggesting that, in a preliminary analysis, their financial data are free from bias. On the other hand, the data set of the organizations that manage earnings according to the Dechow model presented abnormal patterns. The Benford´s Law has been implemented to successfully detect manipulated data. These results offer insights into the interactions between EM and patterns of financial data, and stimulate new comparative studies about the accuracy of models to estimate EM.Keywords: Earnings management (EM). Financial Reporting Quality (FRQ). Benford’s Law. |
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THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digitalAccording to Dechow and Dichev (2002) and Lin and Wu (2014), a high degree of earnings management (EM) is associated with a poor quality of information. In this sense, it is possible to assume that the financial data of companies that manage earnings can present different patterns from those with low degree of EM. The aim of this exploratory study is to test whether a financial data set (operating expenses) of companies with high degree of EM presents bias. For this analysis, we used the model of Kothari and the modified model of Jones (“Dechow model” hereafter) to estimate the degree of EM, and we used the logarithmic distribution of data predicted by the Benford’s Law to detect abnormal patterns of digits in number sets. The sample was composed of 845 international listed non-financial companies for the year 2010. To analyze the discrepancies between the actual and expected frequencies of the significant-digit, two statistics were calculated: Z-test and Pearson’s chi-square test. The results show that, with a confidence level of 90%, the companies with a high degree of EM according to the Kothari model presented similar distribution to that one predicted by the Benford’s Law, suggesting that, in a preliminary analysis, their financial data are free from bias. On the other hand, the data set of the organizations that manage earnings according to the Dechow model presented abnormal patterns. The Benford´s Law has been implemented to successfully detect manipulated data. These results offer insights into the interactions between EM and patterns of financial data, and stimulate new comparative studies about the accuracy of models to estimate EM.Keywords: Earnings management (EM). Financial Reporting Quality (FRQ). Benford’s Law.Universidade do Oeste de Santa Catarina2014-11-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/xmlhttps://periodicos.unoesc.edu.br/race/article/view/406510.18593/race.v14i1.4065RACE - Revista de Administração, Contabilidade e Economia; Vol. 14 No. 1 (2015): RACE_v. 14_n_1_jan./abr. 2015; 351-382RACE - Revista de Administração, Contabilidade e Economia; v. 14 n. 1 (2015): RACE_v. 14_n_1_jan./abr. 2015; 351-3822179-49361678-648310.18593/race.v14i1reponame:RACE (Joaçaba. Online)instname:Universidade do Oeste de Santa Catarina (UNOESC)instacron:UNOESCporhttps://periodicos.unoesc.edu.br/race/article/view/4065/3735https://periodicos.unoesc.edu.br/race/article/view/4065/xml_65Ferrero, Jennifer MartínezBallesteros, Beatriz CuadradoMilani Filho, Marco Antonio Figueiredoinfo:eu-repo/semantics/openAccess2019-07-10T20:10:22Zoai:ojs.periodicos.unoesc.edu.br:article/4065Revistahttps://portalperiodicos.unoesc.edu.br/racehttps://portalperiodicos.unoesc.edu.br/race/oairace@unoesc.edu.br||editora@unoesc.edu.br2179-49361678-6483opendoar:2019-07-10T20:10:22RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC)false |
dc.title.none.fl_str_mv |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital |
title |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital |
spellingShingle |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital Ferrero, Jennifer Martínez |
title_short |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital |
title_full |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital |
title_fullStr |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital |
title_full_unstemmed |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital |
title_sort |
THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital |
author |
Ferrero, Jennifer Martínez |
author_facet |
Ferrero, Jennifer Martínez Ballesteros, Beatriz Cuadrado Milani Filho, Marco Antonio Figueiredo |
author_role |
author |
author2 |
Ballesteros, Beatriz Cuadrado Milani Filho, Marco Antonio Figueiredo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ferrero, Jennifer Martínez Ballesteros, Beatriz Cuadrado Milani Filho, Marco Antonio Figueiredo |
description |
According to Dechow and Dichev (2002) and Lin and Wu (2014), a high degree of earnings management (EM) is associated with a poor quality of information. In this sense, it is possible to assume that the financial data of companies that manage earnings can present different patterns from those with low degree of EM. The aim of this exploratory study is to test whether a financial data set (operating expenses) of companies with high degree of EM presents bias. For this analysis, we used the model of Kothari and the modified model of Jones (“Dechow model” hereafter) to estimate the degree of EM, and we used the logarithmic distribution of data predicted by the Benford’s Law to detect abnormal patterns of digits in number sets. The sample was composed of 845 international listed non-financial companies for the year 2010. To analyze the discrepancies between the actual and expected frequencies of the significant-digit, two statistics were calculated: Z-test and Pearson’s chi-square test. The results show that, with a confidence level of 90%, the companies with a high degree of EM according to the Kothari model presented similar distribution to that one predicted by the Benford’s Law, suggesting that, in a preliminary analysis, their financial data are free from bias. On the other hand, the data set of the organizations that manage earnings according to the Dechow model presented abnormal patterns. The Benford´s Law has been implemented to successfully detect manipulated data. These results offer insights into the interactions between EM and patterns of financial data, and stimulate new comparative studies about the accuracy of models to estimate EM.Keywords: Earnings management (EM). Financial Reporting Quality (FRQ). Benford’s Law. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11-27 |
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://periodicos.unoesc.edu.br/race/article/view/4065 10.18593/race.v14i1.4065 |
url |
https://periodicos.unoesc.edu.br/race/article/view/4065 |
identifier_str_mv |
10.18593/race.v14i1.4065 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.unoesc.edu.br/race/article/view/4065/3735 https://periodicos.unoesc.edu.br/race/article/view/4065/xml_65 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/xml |
dc.publisher.none.fl_str_mv |
Universidade do Oeste de Santa Catarina |
publisher.none.fl_str_mv |
Universidade do Oeste de Santa Catarina |
dc.source.none.fl_str_mv |
RACE - Revista de Administração, Contabilidade e Economia; Vol. 14 No. 1 (2015): RACE_v. 14_n_1_jan./abr. 2015; 351-382 RACE - Revista de Administração, Contabilidade e Economia; v. 14 n. 1 (2015): RACE_v. 14_n_1_jan./abr. 2015; 351-382 2179-4936 1678-6483 10.18593/race.v14i1 reponame:RACE (Joaçaba. Online) instname:Universidade do Oeste de Santa Catarina (UNOESC) instacron:UNOESC |
instname_str |
Universidade do Oeste de Santa Catarina (UNOESC) |
instacron_str |
UNOESC |
institution |
UNOESC |
reponame_str |
RACE (Joaçaba. Online) |
collection |
RACE (Joaçaba. Online) |
repository.name.fl_str_mv |
RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC) |
repository.mail.fl_str_mv |
race@unoesc.edu.br||editora@unoesc.edu.br |
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