this study attempts to examine the operational efficiency of thirty-two microfinance institutions in india. operational efficiency in microfinance institutions refers to how well microfinance institutions allocate the input resources. since the study is an exploratory nature, therefore, the data are collected from mix market on annual basis. it covers the seven-year period ranging from 2005-06 ...

In order to stress test loan portfolios for the impacts of climate change, historical events need be analyzed create templates future events. Using 2012 Midwestern US drought as an example, this work creates a stress-testing template droughts. The analysis connects weather and crop yield data on local macroeconomic conditions by comparing drought-impacted agricultural counties with nearby urban...

This article is devoted to look at how the factors micro-loan risks in microfinance are related to the micro-borrowers. In this regard, the present analysis involves the using of a set representative and fundamental variables in our research. The study basically use the socio-economic and socio-demographic features specific to the micro-borrowers, which are expected to affect the repayment dela...

This study attempts to examine the operational efficiency of thirty-two microfinance institutions in India. Operational efficiency in microfinance institutions refers to how well microfinance institutions allocate the input resources. Since the study is an exploratory nature, therefore, the data are collected from mix market on annual basis. It covers the seven-year period ranging from 2005-06 ...

Repayment decisions—how much of the loan to repay and when to make the payments—directly influence consumer debt levels. The authors examine how minimum required payment policy and loan information disclosed to consumers influence repayment decisions. They find that while presenting minimum required payment information has a negative impact on repayment decisions, increasing the minimum require...

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, e...

Microfinance through joint liability or group lending has received a lot of attention recently from policy makers as well as academicians. It is playing important role in delivering financial services to the ‘socially and economically excluded’ poor, in general, and women, in particular. Grouplending works with various dynamic incentives. One such is the principle of progressive lending which p...