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  • 标题:Financing Decisions of Companies Listed in the Different Segments of Corporate Governance of BM&FBovespa According to Pecking Order Theory
  • 本地全文:下载
  • 作者:Bruna Bagalhi Tani ; Tatiana Albanez
  • 期刊名称:Contabilidade, Gestão e Governança
  • 电子版ISSN:1984-3925
  • 出版年度:2016
  • 卷号:19
  • 期号:2
  • 页码:317-334
  • 语种:Portuguese
  • 出版社:University of Brasilia, the Federal University of Paraiba, Federal University of Rio Grande do Norte
  • 摘要:Among the various theories about capital structure is Pecking Order theory, which establishes a hierarchy of preferences for sources of funding due to the existence of information asymmetry. In this paper, we seek to verify if this theory applies to the financing decisions of Brazilian companies that are listed in the different segments of corporate governance of BMF&Bovespa, analyzing whether, in the 2010-2014 period, a higher level of corporate governance implies lower adherence to this theory. Descriptive analysis and panel data models are used. The main finding is that Pecking Order theory works better in the traditional segment, confirming that greater information asymmetry leads to greater reliance on debt to finance deficits in the flow of funds. While the results found with respect to the traditional segment provide some support to Pecking Order theory, evidence suggests that the theory exerts less influence on the Novo Mercado segment, represented by the companies with the highest level of corporate governance and lowest degree of information asymmetry. There is evidence, therefore, that Pecking Order theory does not explain the financing decisions of Brazilian companies that have highly differentiated standards of corporate governance.
  • 关键词:Big Four Complexidade Contabilidade Desempenho Organizacional Desempenho acadêmico Dividend Policy Dividend Relevance Theory Escolhas Contábeis Estratégia Estrutura de Capital Estrutura de capital Fortune 500 Governança Corporativa; Propriedades para Investimento Regulation; Risco Tamanho Tangibilidade Teoria do tradeoff Velocidade de Ajuste Índice T
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