Discretionary accruals : the measurement error induced by conservatism
Autor(a) principal: | |
---|---|
Data de Publicação: | 2006 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/10001 |
Resumo: | This paper discusses the sign of the expected measurement error in discretionary accruals (DAC) estimates when accrual models do not control for the asymmetric treatment of gains and losses underlying conservatism. I show that DAC in firms with "bad news" are expected to be understated (positive measurement error), while those in "good news" firms will be overstated (negative measurement error). Based on this original result, and using graphical analysis, I discuss an empirical illustration, which corroborates the expectations. |
id |
RCAP_73e7ec77cea10b7683600a75b7e78892 |
---|---|
oai_identifier_str |
oai:www.repository.utl.pt:10400.5/10001 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Discretionary accruals : the measurement error induced by conservatismaccrualsaccrual modelsearnings managementThis paper discusses the sign of the expected measurement error in discretionary accruals (DAC) estimates when accrual models do not control for the asymmetric treatment of gains and losses underlying conservatism. I show that DAC in firms with "bad news" are expected to be understated (positive measurement error), while those in "good news" firms will be overstated (negative measurement error). Based on this original result, and using graphical analysis, I discuss an empirical illustration, which corroborates the expectations.Instituto Superior de Economia e GestãoRepositório da Universidade de LisboaMoreira, José A. C.2015-11-02T15:16:35Z20062006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/10001engMoreira, José A. C. (2006). "Discretionary accruals : the measurement error induced by conservatism". Portuguese Journal of Management Studies, XI(2):115-126info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:40:23Zoai:www.repository.utl.pt:10400.5/10001Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:56:33.015151Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Discretionary accruals : the measurement error induced by conservatism |
title |
Discretionary accruals : the measurement error induced by conservatism |
spellingShingle |
Discretionary accruals : the measurement error induced by conservatism Moreira, José A. C. accruals accrual models earnings management |
title_short |
Discretionary accruals : the measurement error induced by conservatism |
title_full |
Discretionary accruals : the measurement error induced by conservatism |
title_fullStr |
Discretionary accruals : the measurement error induced by conservatism |
title_full_unstemmed |
Discretionary accruals : the measurement error induced by conservatism |
title_sort |
Discretionary accruals : the measurement error induced by conservatism |
author |
Moreira, José A. C. |
author_facet |
Moreira, José A. C. |
author_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Moreira, José A. C. |
dc.subject.por.fl_str_mv |
accruals accrual models earnings management |
topic |
accruals accrual models earnings management |
description |
This paper discusses the sign of the expected measurement error in discretionary accruals (DAC) estimates when accrual models do not control for the asymmetric treatment of gains and losses underlying conservatism. I show that DAC in firms with "bad news" are expected to be understated (positive measurement error), while those in "good news" firms will be overstated (negative measurement error). Based on this original result, and using graphical analysis, I discuss an empirical illustration, which corroborates the expectations. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006 2006-01-01T00:00:00Z 2015-11-02T15:16:35Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/10001 |
url |
http://hdl.handle.net/10400.5/10001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Moreira, José A. C. (2006). "Discretionary accruals : the measurement error induced by conservatism". Portuguese Journal of Management Studies, XI(2):115-126 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Superior de Economia e Gestão |
publisher.none.fl_str_mv |
Instituto Superior de Economia e Gestão |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799131047876624384 |