Abstract
This paper is aimed at examining the credit risk assumed by the Micro Finance Institutions (MFIs) through their sizes, margins and costs for a sample of 13 Mexican MFIs during the 2007-2012 period. We also study the differentiated effects of those risk factors on the MFIs credit risk through time and between MFIs by using quantile regression methodologies. We find that the use of the normality assumption on the traditional panel analysis biases the results when the studied variables are not normal by diluting the 0.75 percentile sample characteristics (the most heterogeneous part of the sample). Finally, by using quantile panel data with fixed effects, we find that for credit risk management the MFIs only consider the income they can attain.
© 2015, School of Accounting and Management, National Autonomous University of Mexico. All rights reserved. Publication of the article implies full assignment of property rights (copyright) in Journal of Accounting and Management. The publication mreserves the right to total or partial reproduction of the work in other print, electronic or any other alternative means, but always recognizing its responsibility.
Unless otherwise stated, all contents of the electronic edition of the journal are distributed under a license and distribution "Creative Commons Attribution-Noncommercial 4.0 International" (CC-by). You can see from here the version of the license information. This circumstance must be expressly stated in this way when necessary.