Microfinance Institutions (MFIs) are a special case in the financial world. They have a double financial and social role and need to be efficient at both. In this paper we try to measure the efficiency of MFIs in relation to financial and social outputs using Data Envelopment Analysis. For the analysis of financial efficiency we rely on existing literature for traditional financial institutions. To this we have added two indicators of social performance: impact on women, and a poverty reach index. A series of hypotheses on MFIs have been entertained, that concern the relationship between social and financial efficiency, and the relationship between efficiency and other indicators, such as profitability. Other aspects studied are the relation between social efficiency and type of institution -Non-Governmental Organisation (NGO), non-NGO-, and the importance of geographical region of activity. The results reveal the importance of social efficiency assessment. JEL Classification: G290

This paper studies P2P lending and the factors explaining loan default. This is an important issue because in P2P lending individual investors bear the credit risk, instead of financial institutions, which are experts in dealing with this risk. P2P lenders suffer a severe problem of information asymmetry, because they are at a disadvantage facing the borrower. For this reason, P2P lending sites provide potential lenders with information about borrowers and their loan purpose. They also assign a grade to each loan. The empirical study is based on loans’ data collected from Lending Club (N = 24,449) from 2008 to 2014 that are first analyzed by using univariate means tests and survival analysis. Factors explaining default are loan purpose, annual income, current housing situation, credit history and indebtedness. Secondly, a logistic regression model is developed to predict defaults. The grade assigned by the P2P lending site is the most predictive factor of default, but the accuracy of the model is improved by adding other information, especially the borrower’s debt level.

Microfinance Institutions (MFIs) are special financial institutions. They have both a social nature and a for-profit nature. Their performance has been traditionally measured by means of financial ratios. The paper uses a Data Envelopment Analysis (DEA) approach to efficiency to show that ratio analysis does not capture DEA efficiency.Special care is taken in the specification of the DEA model. We take a methodological approach based on multivariate analysis. We rank DEA efficiencies under different models and specifications; e.g., particular sets of inputs and outputs. This serves to explore what is behind a DEA score.The results show that we can explain MFIs efficiency by means of four principal components of efficiency, and this way we are able to understand differences between DEA scores. It is shown that there are country effects on efficiency; and effects that depend on Non-governmental Organization (NGO)/non-NGO status of the MFI.

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In the last 20 years, microfinance has moved from a promise to reality, although with ups and downs. This paper reviews 1,874 papers published from 1997 to 2017 to perform a scientometric analysis of the microfinance field. The literature review is based on bibliometric data: keyword co-occurrence networks and citation networks were exploited for knowledge mapping. Data analysis shows the two research traditions: papers focusing on clients (welfarists) and papers focusing on microfinance entities themselves (institutionalists). Institutionalism, which had little presence in the early research in microfinance, now exhibits great strength. A chronological analysis reveals the evolution of the topics most interesting to researchers: the first stage described the innovations of the microcredit practices and their impact; the second and very expansive stage in which microfinance institutions' peculiarities were analyzed; and nowadays the sector is mature but with negative aspects arising, such as mission drift. The keywords analysis discovers emerging research topics, shows the use of sophisticated techniques, and recognizes an emerging trend of the sector: achieving financial inclusion. AbstractIn the last 20 years, microfinance has moved from a promise to reality, although with ups and downs. This paper reviews 1,874 papers published from 1997 to 2017 to perform a scientometric analysis of the microfinance field. The literature review is based on bibliometric data: keyword cooccurrence networks and citation networks were exploited for knowledge mapping. Data analysis shows the two research traditions: papers focusing on clients (welfarists) and papers focusing on microfinance entities themselves (institutionalists). Institutionalism, which had little presence in the early research in microfinance, now exhibits great strength. A chronological analysis reveals the evolution of the topics most interesting to researchers: the first stage described the innovations of the microcredit practices and their impact; the second and very expansive stage in which microfinance institutions' peculiarities were analyzed; and nowadays the sector is mature but with negative aspects arising, such as mission drift.The keywords analysis discovers emerging research topics, shows the use of sophisticated techniques, and recognizes an emerging trend of the sector: achieving financial inclusion.

Poor people were excluded from financial services until microfinance institutions (MFIs) emerged. The mission of MFIs is to alleviate poverty, contributing to women empowerment especially in rural communities. Microcredits can be analyzed under Pareto's 80/20 Principle. Their clients are situated in the long tail of the wealth distribution function. This niche market is not very attractive, because of its high administrative costs, lack of deposits and the need for compensating low revenues with fluctuating subsidies. Some MFIs have drifted from their mission. This paper presents a model to explain microfinance and mission drift, tested with hypotheses. The results from the empirical study show a pattern of mission centered MFI: a small NGO, with labor productivity, receiving donations and obtaining a high margin. The need for reducing interest rates is concluded. According to the long tail theory, this can be done through the use of efficient technology, as the e-commerce sector has achieved. According to the long tail theory, this can be done through the use of efficient technology, as the ecommerce sector has achieved.

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The growing relevance of Microfinance Institutions (MFIs) has provoked the development of specialized MFI rating agencies that perform global risk assessments. In this paper we have conjectured different hypotheses pertaining to the relationship between financial indicators and the rating assigned. The hypotheses have been empirically tested, using MFIs accounting information and ratings from a leading agency. As expected, the larger, the more profitable, the more productive, and the less risky, achieved the better rating. This proves the usefulness of MFIs ratings for providers of funds. There is no observed relationship between social performance and rating. Given the social aim of MFIs, it is necessary to encourage rating agencies to engage in the development of social ratings. These social ratings should complement financial ratings, giving information about the accomplishment degree of the MFI social goals. JEL Classification: G290