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Mergers and Acquisitions and Brazilian Banking Stock Market Volatility: An Application of GARCH Models

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Mergers and Acquisitions and Brazilian Banking Stock Market Volatility: An Application of GARCH Models. / Pessanha, Gabriel; Pereira, Nádia; Calegário, Cristina et al.
In: LATIN AMERICAN BUSINESS REVIEW, Vol. 17, No. 4, 21.12.2016, p. 333-357.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Pessanha, G, Pereira, N, Calegário, C, Sáfadi, T & Neves de Ázara, L 2016, 'Mergers and Acquisitions and Brazilian Banking Stock Market Volatility: An Application of GARCH Models', LATIN AMERICAN BUSINESS REVIEW, vol. 17, no. 4, pp. 333-357. https://doi.org/10.1080/10978526.2016.1232596

APA

Pessanha, G., Pereira, N., Calegário, C., Sáfadi, T., & Neves de Ázara, L. (2016). Mergers and Acquisitions and Brazilian Banking Stock Market Volatility: An Application of GARCH Models. LATIN AMERICAN BUSINESS REVIEW, 17(4), 333-357. https://doi.org/10.1080/10978526.2016.1232596

Vancouver

Pessanha G, Pereira N, Calegário C, Sáfadi T, Neves de Ázara L. Mergers and Acquisitions and Brazilian Banking Stock Market Volatility: An Application of GARCH Models. LATIN AMERICAN BUSINESS REVIEW. 2016 Dec 21;17(4):333-357. doi: 10.1080/10978526.2016.1232596

Author

Pessanha, Gabriel ; Pereira, Nádia ; Calegário, Cristina et al. / Mergers and Acquisitions and Brazilian Banking Stock Market Volatility : An Application of GARCH Models. In: LATIN AMERICAN BUSINESS REVIEW. 2016 ; Vol. 17, No. 4. pp. 333-357.

Bibtex

@article{2bc285a15f1f4b5bb522973a2de53cf4,
title = "Mergers and Acquisitions and Brazilian Banking Stock Market Volatility: An Application of GARCH Models",
abstract = "The main objective of this research was to investigate the impacts caused by announcements of mergers and acquisitions (M&As) on the volatility of the returns of Brazilian bank stocks from 1994 to 2015. In order to achieve the proposed objective, this study applied Generalized Autoregressive Conditional Heteroscedastic (GARCH) class models to the series to model their volatility. Our results confirmed the impact of the announcement of M&As on volatility. They suggest that M&A announcements are expected to cause a negative reaction if related to an expansion or a deal involving a less-well known bank, and a positive reaction if it involves well-known bank with good reputation—a higher level of confidence and a lower level of information asymmetry for investors.",
author = "Gabriel Pessanha and N{\'a}dia Pereira and Cristina Caleg{\'a}rio and Thelma S{\'a}fadi and {Neves de {\'A}zara}, Leiziane",
year = "2016",
month = dec,
day = "21",
doi = "10.1080/10978526.2016.1232596",
language = "English",
volume = "17",
pages = "333--357",
journal = "LATIN AMERICAN BUSINESS REVIEW",
issn = "1097-8526",
publisher = "Taylor and Francis Ltd.",
number = "4",

}

RIS

TY - JOUR

T1 - Mergers and Acquisitions and Brazilian Banking Stock Market Volatility

T2 - An Application of GARCH Models

AU - Pessanha, Gabriel

AU - Pereira, Nádia

AU - Calegário, Cristina

AU - Sáfadi, Thelma

AU - Neves de Ázara, Leiziane

PY - 2016/12/21

Y1 - 2016/12/21

N2 - The main objective of this research was to investigate the impacts caused by announcements of mergers and acquisitions (M&As) on the volatility of the returns of Brazilian bank stocks from 1994 to 2015. In order to achieve the proposed objective, this study applied Generalized Autoregressive Conditional Heteroscedastic (GARCH) class models to the series to model their volatility. Our results confirmed the impact of the announcement of M&As on volatility. They suggest that M&A announcements are expected to cause a negative reaction if related to an expansion or a deal involving a less-well known bank, and a positive reaction if it involves well-known bank with good reputation—a higher level of confidence and a lower level of information asymmetry for investors.

AB - The main objective of this research was to investigate the impacts caused by announcements of mergers and acquisitions (M&As) on the volatility of the returns of Brazilian bank stocks from 1994 to 2015. In order to achieve the proposed objective, this study applied Generalized Autoregressive Conditional Heteroscedastic (GARCH) class models to the series to model their volatility. Our results confirmed the impact of the announcement of M&As on volatility. They suggest that M&A announcements are expected to cause a negative reaction if related to an expansion or a deal involving a less-well known bank, and a positive reaction if it involves well-known bank with good reputation—a higher level of confidence and a lower level of information asymmetry for investors.

U2 - 10.1080/10978526.2016.1232596

DO - 10.1080/10978526.2016.1232596

M3 - Journal article

VL - 17

SP - 333

EP - 357

JO - LATIN AMERICAN BUSINESS REVIEW

JF - LATIN AMERICAN BUSINESS REVIEW

SN - 1097-8526

IS - 4

ER -