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Capital structure in South Korea: A Quantile Regression Approach

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  • Fattouh, Bassam

    (CeFiMS, SOAS)

  • Pasquale Scaramozzino
  • Laurence Hariss

Abstract

This paper analyzes capital structure in South Korea from 1991 until 1999. The paper makes use of quantile regression methods to explore the changing distribution of debt-capital ratios across firms and over time. We find clear evidence of heterogeneity in the capital structure of firms. There is also strong evidence of heterogeneity in the determinants of capital structure choice. The size of the firm and its rate of growth have a positive impact on debt at low values of the debt ratios, but a negative impact at high values of the ratios. By contrast, the proportion of net fixed assets has a negligible impact at low values of the debt ratios, but a significantly positive impact at medium or high values of the ratios. The observed non-linearities in the determinants of capital structure are consistent with an agency cost theory of capital structure, and with both a non-negativity constraint and an upper bound on debt.

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Bibliographic Info

Paper provided by Royal Economic Society in its series Royal Economic Society Annual Conference 2002 with number 70.

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Date of creation: 29 Aug 2002
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Handle: RePEc:ecj:ac2002:70

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Citations

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Cited by:
  1. Valérie Revest & Alessandro Sapio, 2012. "Financing technology-based small firms in Europe: what do we know?," Small Business Economics, Springer, vol. 39(1), pages 179-205, July.
  2. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "Determinants of the price-premium for Green Energy: Evidence from an OECD cross-section," CERE Working Papers 2013:7, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
  3. Ibrahimo, M.V. & Barros, C.P., 2009. "Relevance or irrelevance of capital structure?," Economic Modelling, Elsevier, vol. 26(2), pages 473-479, March.
  4. Selim Aren & Lutfihak Alpkan & Bulent Sezen & Ziya Alper Guncu, 2011. "Drivers of firms’ debt ratios: evidence from Taiwanese and Turkish firms," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(1), pages 53-70, May.
  5. repec:hhs:slucer:2014_007 is not listed on IDEAS
  6. Sánchez-Vidal, F. Javier, 2014. "High debt companies' leverage determinants in Spain: A quantile regression approach," Economic Modelling, Elsevier, vol. 36(C), pages 455-465.
  7. Wu, Feng & Guan, Zhengfei, 2008. "Farm Capital Structure Choice under Credit Constraint: Theory and Application," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6130, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  8. Mamatzakis, E & Koutsomanoli-Filippaki, Anastasia & Pasiouras, Fotios, 2012. "A quantile regression approach to bank efficiency measurement," MPRA Paper 51879, University Library of Munich, Germany.
  9. Guilherme Resende Oliveira & Benjamin Miranda Tabak & José Guilherme de Lara Resende & Daniel Oliveira Cajueiro, 2012. "Determinantes da Estrutura de Capital das Empresas Brasileiras: uma abordagem em regress˜ao quantílica," Working Papers Series 272, Central Bank of Brazil, Research Department.
  10. Pasquale Scaramozzino, 2006. "Measuring Vulnerability to Food Insecurity," Working Papers 06-12, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
  11. Drescher, Larissa S. & Goddard, Ellen W., 2011. "Heterogeneous Demand for Food Diversity: A Quantile Regression Analysis," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114484, German Association of Agricultural Economists (GEWISOLA).
  12. Manuel Landajo & Javier de Andrés & Pedro Lorca, 2008. "Measuring firm performance by using linear and non-parametric quantile regressions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(2), pages 227-250.
  13. repec:ise:isegwp:wp52010 is not listed on IDEAS

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