THE LINK BETWEEN EARNINGS MANAGEMENT AND DIGITAL PATTERN / O elo entre gerenciamento de resultado e padrão digital

Detalhes bibliográficos
Autor(a) principal: Ferrero, Jennifer Martínez
Data de Publicação: 2014
Outros Autores: Ballesteros, Beatriz Cuadrado, Milani Filho, Marco Antonio Figueiredo
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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spelling 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
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10.18593/race.v14i1.4065
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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
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