The impact of rating classifications on stock prices of Brazilian companies
Descripción del Articulo
Purpose. This paper aims to identify if there is an impact of the rating announcements issued by the agencies on the returns of the stocks of Brazilian companies listed on Brasil Bolsa Balcão, from August 2002 to August 2018, identifying which types of announcement (upgrade, downgrade or the same in...
Autores: | , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Universidad ESAN |
Repositorio: | Revistas - Universidad ESAN |
Lenguaje: | inglés |
OAI Identifier: | oai:ojs.pkp.sfu.ca:article/56 |
Enlace del recurso: | https://revistas.esan.edu.pe/index.php/jefas/article/view/56 |
Nivel de acceso: | acceso abierto |
Materia: | Credit rating Market efficiency Event study Brazilian capital market Rating announcements |
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The impact of rating classifications on stock prices of Brazilian companiesPagin, Fernanda da Costa Gomes, MatheusMoreira Antônio, RafaelPimenta Júnior, TabajaraGaio, Luiz EduardoCredit ratingMarket efficiencyEvent studyBrazilian capital marketRating announcementsPurpose. This paper aims to identify if there is an impact of the rating announcements issued by the agencies on the returns of the stocks of Brazilian companies listed on Brasil Bolsa Balcão, from August 2002 to August 2018, identifying which types of announcement (upgrade, downgrade or the same initial classification) cause variations in prices around the date of disclosure of the rating. Design/methodology/approach. The event study methodology was applied to verify the market reaction around the announcement dates in a 21-day event window (−10, +10). The market model was used to calculate the abnormal returns (ARs), and subsequently, the accumulated ARs. Findings. The hypotheses tests allowed to verify that the accumulated ARs are different, before and after the three types of rating announcements (upgrades, downgrades and the same classification); in upgrades, the mean of accumulated ARs increases in the days before the event, while in downgrades, this increase occurs after the event. This paper concluded that the rating announcements have an impact on the return of stock of the Brazilian market and that the market reaction occurs most of the time before the event happens, which indicates that the market can anticipate the information contained in the changes in credit ratings. Practical implications. The results have considerable implications for portfolio managers, institutional investors and traders. It facilitates investment decision-making in the face of rating classification announcements. Market participants can pay more attention to their investment strategies and asset allocation during periods of risk rating announcements. Additionally, traders can understand the form of investment strategy for superior earnings. Originality/value. The importance of the study is related to the fact that the results may explain the causes of specific movements in the Brazilian financial market related to a source of information that may or may not be able to influence the decisions of the financial agents that operate in this market. The justification is centred on the idea that, for investors who somehow react to the announcements, it is relevant to understand the impact of rating classifications on companies, as access to such information allows for more conscious decision-making. DOI: https://doi.org/10.1108/JEFAS-08-2019-0193Universidad ESAN2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://revistas.esan.edu.pe/index.php/jefas/article/view/56Journal of Economics, Finance and Administrative Science; Vol. 26 No. 51 (2021): January - June; 112-126Journal of Economics, Finance and Administrative Science; Vol. 26 Núm. 51 (2021): January - June; 112-1262218-06482077-1886reponame:Revistas - Universidad ESANinstname:Universidad ESANinstacron:ESANenghttps://revistas.esan.edu.pe/index.php/jefas/article/view/56/127Copyright (c) 2021 Journal of Economics, Finance and Administrative Sciencehttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/562021-11-17T03:01:11Z |
dc.title.none.fl_str_mv |
The impact of rating classifications on stock prices of Brazilian companies |
title |
The impact of rating classifications on stock prices of Brazilian companies |
spellingShingle |
The impact of rating classifications on stock prices of Brazilian companies Pagin, Fernanda Credit rating Market efficiency Event study Brazilian capital market Rating announcements |
title_short |
The impact of rating classifications on stock prices of Brazilian companies |
title_full |
The impact of rating classifications on stock prices of Brazilian companies |
title_fullStr |
The impact of rating classifications on stock prices of Brazilian companies |
title_full_unstemmed |
The impact of rating classifications on stock prices of Brazilian companies |
title_sort |
The impact of rating classifications on stock prices of Brazilian companies |
dc.creator.none.fl_str_mv |
Pagin, Fernanda da Costa Gomes, Matheus Moreira Antônio, Rafael Pimenta Júnior, Tabajara Gaio, Luiz Eduardo |
author |
Pagin, Fernanda |
author_facet |
Pagin, Fernanda da Costa Gomes, Matheus Moreira Antônio, Rafael Pimenta Júnior, Tabajara Gaio, Luiz Eduardo |
author_role |
author |
author2 |
da Costa Gomes, Matheus Moreira Antônio, Rafael Pimenta Júnior, Tabajara Gaio, Luiz Eduardo |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Credit rating Market efficiency Event study Brazilian capital market Rating announcements |
topic |
Credit rating Market efficiency Event study Brazilian capital market Rating announcements |
description |
Purpose. This paper aims to identify if there is an impact of the rating announcements issued by the agencies on the returns of the stocks of Brazilian companies listed on Brasil Bolsa Balcão, from August 2002 to August 2018, identifying which types of announcement (upgrade, downgrade or the same initial classification) cause variations in prices around the date of disclosure of the rating. Design/methodology/approach. The event study methodology was applied to verify the market reaction around the announcement dates in a 21-day event window (−10, +10). The market model was used to calculate the abnormal returns (ARs), and subsequently, the accumulated ARs. Findings. The hypotheses tests allowed to verify that the accumulated ARs are different, before and after the three types of rating announcements (upgrades, downgrades and the same classification); in upgrades, the mean of accumulated ARs increases in the days before the event, while in downgrades, this increase occurs after the event. This paper concluded that the rating announcements have an impact on the return of stock of the Brazilian market and that the market reaction occurs most of the time before the event happens, which indicates that the market can anticipate the information contained in the changes in credit ratings. Practical implications. The results have considerable implications for portfolio managers, institutional investors and traders. It facilitates investment decision-making in the face of rating classification announcements. Market participants can pay more attention to their investment strategies and asset allocation during periods of risk rating announcements. Additionally, traders can understand the form of investment strategy for superior earnings. Originality/value. The importance of the study is related to the fact that the results may explain the causes of specific movements in the Brazilian financial market related to a source of information that may or may not be able to influence the decisions of the financial agents that operate in this market. The justification is centred on the idea that, for investors who somehow react to the announcements, it is relevant to understand the impact of rating classifications on companies, as access to such information allows for more conscious decision-making. DOI: https://doi.org/10.1108/JEFAS-08-2019-0193 |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/56 |
url |
https://revistas.esan.edu.pe/index.php/jefas/article/view/56 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/56/127 |
dc.rights.none.fl_str_mv |
Copyright (c) 2021 Journal of Economics, Finance and Administrative Science https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Journal of Economics, Finance and Administrative Science 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 |
Universidad ESAN |
publisher.none.fl_str_mv |
Universidad ESAN |
dc.source.none.fl_str_mv |
Journal of Economics, Finance and Administrative Science; Vol. 26 No. 51 (2021): January - June; 112-126 Journal of Economics, Finance and Administrative Science; Vol. 26 Núm. 51 (2021): January - June; 112-126 2218-0648 2077-1886 reponame:Revistas - Universidad ESAN instname:Universidad ESAN instacron:ESAN |
instname_str |
Universidad ESAN |
instacron_str |
ESAN |
institution |
ESAN |
reponame_str |
Revistas - Universidad ESAN |
collection |
Revistas - Universidad ESAN |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
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12.626773 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).