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: | ESAN-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.esan.edu.pe:20.500.12640/2804 |
| Enlace del recurso: | https://revistas.esan.edu.pe/index.php/jefas/article/view/56 https://hdl.handle.net/20.500.12640/2804 https://doi.org/10.1108/JEFAS-08-2019-0193 |
| Nivel de acceso: | acceso abierto |
| Materia: | Credit rating Market efficiency Event study Brazilian capital market Rating announcements Calificación crediticia Eficiencia del mercado Estudio de eventos Mercado de capitales brasileño Anuncios de calificación https://purl.org/pe-repo/ocde/ford#5.02.04 |
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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 Calificación crediticia Eficiencia del mercado Estudio de eventos Mercado de capitales brasileño Anuncios de calificación https://purl.org/pe-repo/ocde/ford#5.02.04 |
| 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 |
| author |
Pagin, Fernanda |
| author_facet |
Pagin, Fernanda Gomes, Matheus da Costa Antônio, Rafael Moreira Júnior, Tabajara Pimenta Gaio, Luiz Eduardo |
| author_role |
author |
| author2 |
Gomes, Matheus da Costa Antônio, Rafael Moreira Júnior, Tabajara Pimenta Gaio, Luiz Eduardo |
| author2_role |
author author author author |
| dc.contributor.author.fl_str_mv |
Pagin, Fernanda Gomes, Matheus da Costa Antônio, Rafael Moreira Júnior, Tabajara Pimenta Gaio, Luiz Eduardo |
| dc.subject.en_EN.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 Calificación crediticia Eficiencia del mercado Estudio de eventos Mercado de capitales brasileño Anuncios de calificación https://purl.org/pe-repo/ocde/ford#5.02.04 |
| dc.subject.es_ES.fl_str_mv |
Calificación crediticia Eficiencia del mercado Estudio de eventos Mercado de capitales brasileño Anuncios de calificación |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.04 |
| 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. |
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2021 |
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2021-12-15T12:11:09Z |
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2021-12-15T12:11:09Z |
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2021-06-30 |
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info:eu-repo/semantics/article |
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Artículo |
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https://revistas.esan.edu.pe/index.php/jefas/article/view/56 |
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Pagin, F., Gomes, M. C., Antônio, R. M., Júnior, T. P., & Gaio, L. E. (2021). The impact of rating classifications on stock prices of Brazilian companies. Journal of Economics, Finance and Administrative Science, 26(51), 112-126. https://doi.org/10.1108/JEFAS-08-2019-0193 |
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https://hdl.handle.net/20.500.12640/2804 |
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https://doi.org/10.1108/JEFAS-08-2019-0193 |
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https://revistas.esan.edu.pe/index.php/jefas/article/view/56 https://hdl.handle.net/20.500.12640/2804 https://doi.org/10.1108/JEFAS-08-2019-0193 |
| identifier_str_mv |
Pagin, F., Gomes, M. C., Antônio, R. M., Júnior, T. P., & Gaio, L. E. (2021). The impact of rating classifications on stock prices of Brazilian companies. Journal of Economics, Finance and Administrative Science, 26(51), 112-126. https://doi.org/10.1108/JEFAS-08-2019-0193 |
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Inglés |
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eng |
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Inglés |
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https://revistas.esan.edu.pe/index.php/jefas/article/view/56/127 |
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Attribution 4.0 International |
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info:eu-repo/semantics/openAccess |
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Universidad ESAN. ESAN Ediciones |
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Universidad ESAN. ESAN Ediciones |
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Pagin, FernandaGomes, Matheus da CostaAntônio, Rafael MoreiraJúnior, Tabajara PimentaGaio, Luiz Eduardo2021-12-15T12:11:09Z2021-12-15T12:11:09Z2021-06-30https://revistas.esan.edu.pe/index.php/jefas/article/view/56Pagin, F., Gomes, M. C., Antônio, R. M., Júnior, T. P., & Gaio, L. E. (2021). The impact of rating classifications on stock prices of Brazilian companies. Journal of Economics, Finance and Administrative Science, 26(51), 112-126. https://doi.org/10.1108/JEFAS-08-2019-0193https://hdl.handle.net/20.500.12640/2804https://doi.org/10.1108/JEFAS-08-2019-0193Purpose. 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.Objetivo: Este artículo tiene como objetivo identificar si existe impacto de los anuncios de calificación emitidos por las agencias en los rendimientos de las acciones de las empresas brasileñas listadas en Brasil Bolsa Balcão, de agosto de 2002 a agosto de 2018, identificando qué tipos de anuncios (upgrade, baja de calificación o la misma clasificación inicial) provocan variaciones en los precios alrededor de la fecha de divulgación de la calificación. Diseño/metodología/enfoque: Se aplicó la metodología de estudio de eventos para verificar la reacción del mercado alrededor de las fechas de anuncio en una ventana de evento de 21 días (−10, +10). Se utilizó el modelo de mercado para calcular los rendimientos anormales (AR) y, posteriormente, los AR acumulados. Hallazgos: Las pruebas de hipótesis permitieron verificar que los AR acumulados son diferentes, antes y después de los tres tipos de anuncios de calificación (subidas, bajas y la misma clasificación); en ascensos, la media de los AR acumulados aumenta en los días previos al evento, mientras que en descensos, este aumento ocurre después del evento. Este artículo concluyó que los anuncios de calificación tienen un impacto en el rendimiento de las acciones del mercado brasileño y que la reacción del mercado ocurre la mayor parte del tiempo antes de que ocurra el evento, lo que indica que el mercado puede anticipar la información contenida en los cambios en las calificaciones crediticias. Implicaciones prácticas: Los resultados tienen implicaciones considerables para los gestores de carteras, los inversores institucionales y los comerciantes. Facilita la toma de decisiones de inversión ante anuncios de clasificación de rating. Los participantes del mercado pueden prestar más atención a sus estrategias de inversión y asignación de activos durante los períodos de anuncios de calificación de riesgo. Además, los operadores pueden comprender la forma de la estrategia de inversión para obtener ganancias superiores. Originalidad/valor: La importancia del estudio está relacionada con el hecho de que los resultados pueden explicar las causas de movimientos específicos en el mercado financiero brasileño relacionados con una fuente de información que puede o no influir en las decisiones de los agentes financieros. que operan en este mercado. La justificación se centra en la idea de que, para los inversores que de alguna manera reaccionan a los anuncios, es relevante comprender el impacto de las clasificaciones de calificación en las empresas, ya que el acceso a dicha información permite una toma de decisiones más consciente.application/pdfInglésengUniversidad ESAN. 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