A comparison of neural network and multiple regression analysis in modeling capital structure

@article{Pao2008ACO,
  title={A comparison of neural network and multiple regression analysis in modeling capital structure},
  author={Hsiao-Tien Pao},
  journal={Expert Syst. Appl.},
  year={2008},
  volume={35},
  pages={720-727}
}
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, however, rarely employ non-linear models to examine the determinants and make little effort to identify a superior prediction model. This study adopts multiple linear regressions and artificial neural networks (ANN) models with seven explanatory variables of corporation’s feature and three external macro-economic control… CONTINUE READING
Highly Cited
This paper has 25 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 32 references

The impact of ownership structure on corporate debt policy: a time-series-crosssectional analysis

  • M. A. Moh’d, L. G. Perry, J. N. Rimbey
  • The Financial Review
  • 1998
Highly Influential
3 Excerpts

How SME uniqueness affects capital structure: evidence from a 1994–1998 spanish data panel

  • S. M. Francisco
  • Small Business Economics,
  • 2005
1 Excerpt

Similar Papers

Loading similar papers…