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Determinants of the level of indebtedness for Brazilian firms: A quantile regression approach

Author

Listed:
  • Guilherme Resende Oliveira

    (Departmento de Economia, Universidade de Brasília, DF 70910-900, Brazil)

  • Benjamin Miranda Tabak

    (DEPEP, Banco Central do Brasil, Brazil)

Abstract

We investigate the determinants of the capital structure of Brazilian companies between 2000 and 2009. We use a quantile regression model and compare its results with the ones provided by conventional models (least squares and fixed effects). We show that the effects of the capital structure determinants change depending on the quantile. This can be explained by bankruptcy and agency costs associated to the amount of debt leverage of firms, relative to each quantile. Based on these results, we analyze the predicted effects of the two leading capital structure theories, namely pecking order and trade-off, conditioned on the determinant, type of debt and quantile analyzed. Our results for the size and profitability variables indicate that the pecking order theory is more suitable to the data as the quantile increases.

Suggested Citation

  • Guilherme Resende Oliveira & Benjamin Miranda Tabak, 2013. "Determinants of the level of indebtedness for Brazilian firms: A quantile regression approach," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 14(3–4), pages 123-138.
    • Handle: RePEc:anp:econom:v:14:y:2013:i:2:123_138
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    Citations

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    Cited by:

    1. Fattouh, Bassam & Pisicoli, Beniamino & Scaramozzino, Pasquale, 2024. "Debt and financial fragility: Italian non-financial companies after the pandemic," Economic Modelling, Elsevier, vol. 131(C).
    2. Mudeer A. Khattak & Buerhan Saiti & Shabeer Khan, 2023. "Does market power explain margins in dual banking? Evidence from panel quantile regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1826-1844, April.
    3. Mari-Isabella Stan & Dragos-Florian Vintila, 2021. "Can the Degree of Indebtedness of the Economic Agents Operating in the Construction Sector in Constanta County Influence the Development of the Coastal Area ?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 163-170, August.

    More about this item

    Keywords

    Capital structure; Quantile regression; Pecking-order; Trade-of;
    All these keywords.

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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