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| Author(s): |
Gerlando Augusto Sampaio Franco de Lima
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Paulo. |
| Institution: | Universidade de São Paulo (USP). Faculdade de Economia, Administração e Contabilidade (FEA/SBD) |
| Defense date: | 2007-10-23 |
| Examining board members: |
Iran Siqueira Lima;
Luiz Jurandir Simões Araujo;
Eliseu Martins;
Wilson Toshiro Nakamura;
André Luiz Oda
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| Advisor: | Iran Siqueira Lima |
| Abstract | |
The objective of this research is to verify the relation between voluntary disclosure and the cost of debt of the companies. It is expected that the disclosure increase results in the reduction of information asymmetry and the risk given to the suppliers, and increases the visibility and the negotiation of their stocks, as well as the amount of information given to the stakeholders. The Theory of Disclosure, created by Verrechia (2001), mainly the ?efficiencybased disclosure? was used and the theories of the cost of debts, as showed in nacional and internacional researches. In respect to the empirical data, a level of voluntary disclosure has been made to compare with the companies? cost of debt. The research design covers the 2000- 2004 periods for the voluntary disclosure and controls variables and 2000-2005 periods for the cost of debt using the equation: (Kdt) = f(NDt-1, control variablest-1), with a sample of 23 companies. Before using the panel data, we have used the Correspondence Analysis which is an exploratory method. Subsequently, evidences show that using combined effects in generalized least squares, which results a R2 of 28,49%, the voluntary disclosure level has inverse relation with the cost of debt, that is, as higher the disclosure level as lesser the cost of debt of the companies. Despite the results and the presented conclusions, some limitations of the research must be led in consideration, as: the conclusions had been restricted to the sample, to the variables and the econometrical tool, being able, as suggestions for new researchs, to use other statistical tools (analysis of cluster, dynamic panel and others) and other variables for, even though, making comparisons with the presented study. (AU) | |