|
|||||
|
|
Mergers and Acquisitions and Market Volatility of Brazilian Banking Stocks: An Application of GARCH Models |
|
| Authors: | Gabriel Rodrigo Gomes Pessanha Nádia Campos Pereira Bruhn Cristina Lelis Leal Calegario Thelma Sáfadi Leiziane Neves de Ázara |
| Institution: | 1. Departamento de Administra??o, Federal University of Alfenas, Varginha, Brazilgabrielrgp@yahoo.com.br;3. Centro de Gest?o e Negócios, Federal University of Goiás, Catal?o, Brazil;4. Departamento de Administra??o e Economia, Federal University of Lavras, Lavras, Brazil;5. Departamento de Estatística, Federal University of Lavras, Lavras, Brazil;6. Departamento de Administra??o, Federal Institute of South of Minas, Três Cora??es, Brazil |
| 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. |
| Keywords: | GARCH class models M& As announcements stock market returns volatility |