EconPapers    
Economics at your fingertips  
 

Desempenho de fusões e aquisições cross border: análise empírica do caso brasileiro

Adriana Bortoluzzo (), Maria Pia de Siqueira Garcia, Dirk Michael Boehe and Hsia Hua Sheng

RAE - Revista de Administração de Empresas, 2014, vol. 54, issue 6

Abstract: This study aims to investigate whether the cross-border acquisitions made by Brazilian companies over the past 15 years have improved their financial performance. Drawing on Institutional, Socio-cultural and Organizational Learning theories, this study develops and empirically tests several hypotheses on the determinants of M&A performance. The results demonstrate that the cross-border acquisitions of Brazilian companies improve their financial performance. Financial performance tends to be positive if the cultural distance between the countries of the acquiring and acquired companies is low to medium and if the institutional context in which the acquired company operates is developed. We also find that the relationship between the previous experience of acquiring companies in international M&As and the performance of a new cross-border operation follows an inverted U shape. These findings suggest that studies on international M&As should include the M&A experience of the acquiring firm as well as the institutional characteristics of its target countries.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://bibliotecadigital.fgv.br/ojs/index.php/rae/article/view/38689 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fgv:eaerae:v:54:y:2014:i:6:a:38689

Access Statistics for this article

RAE - Revista de Administração de Empresas is currently edited by Eduardo Diniz

More articles in RAE - Revista de Administração de Empresas from FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil)
Bibliographic data for series maintained by Núcleo de Computação da FGV EPGE ().

 
Page updated 2025-03-26
Handle: RePEc:fgv:eaerae:v:54:y:2014:i:6:a:38689