Are microfinance institutions' financial performance gender driven? Evidence from Argentina
نویسندگان
چکیده
This paper studies the determinants of financial performance (return on assets, ROA) 18 Argentine Microfinance Institutions (MFIs) from 2002 to 2018. We apply random forest algorithm predict ROA MFIs, introducing two social variables capture depth outreach such as female ratio and average size loan portfolio divided by GDP per capita. also consider five other main explanatory variables, size, efficiency, quality portfolio, solvency, productivity ratio, well macroeconomic variables. Although our results indicate that efficiency are most important in predicting ROA, we find important; particular, which is third relevant predictor ROA. In contrast, crisis turn out be insignificant analysis.
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ژورنال
عنوان ژورنال: Business strategy and development
سال: 2021
ISSN: ['2572-3170']
DOI: https://doi.org/10.1002/bsd2.190