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Determinants of Capital Structure: A Quantile Regression Analysis Cover

Determinants of Capital Structure: A Quantile Regression Analysis

Open Access
|Aug 2015

Abstract

In this study, we attempted to analyze the determinants of capital structure for Indian firms using a panel framework and to investigate whether the capital structure models derived from Western settings provide convincing explanations for capital structure decisions of the Indian firms. The investigation is performed using balanced panel data procedures for a sample 298 firms (from the BSE 500 firms based on the availability of data) during 2001-2010. We found that for lowest quantile LnSales and TANGIT are significant with positive sign and NDTS and PROFIT are significant with negative sign. However, in case of 0.25th quantile LnSales and LnTA are significant with positive sign and PROFIT is significant with negative sign. For median quantile PROFIT is found to be significant with negative sign and TANGIT is significant with positive sign. For 0.75th quantile, in model one, LnSales and PROFIT are significant with negative sign and TANGIT and GROWTHTA are significant with positive sign whereas, in model two, results of 0.75th quantile are similar to the median quantile of model two. For the highest quantile, in case of model one, results are similar to the case of 0.75th quantile with exception that now GROWTHTA in model one (and GROWTHSA in model two).

DOI: https://doi.org/10.1515/sbe-2015-0002 | Journal eISSN: 2344-5416 | Journal ISSN: 1842-4120
Language: English
Page range: 16 - 34
Published on: Aug 25, 2015
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2015 Kumar Tiwari Aviral, Krishnankutty Raveesh, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.