Credit score models have been successfully applied in a traditional credit card industry and by mortgage firms to determine defaulting customer from the non-defaulting customer. In the light of growing competition in the microfinance industry, over-indebtedness and other factors, the industry has come under increased regulatory supervision. Our study provides evidence from a large microfinance institutions (MFI) in India, and we have applied both the credit scoring method and neural network (NN) method and compared the results. In this article, we demonstrate the capability of credit scoring models for an Indian-based microfinance firm in terms of predicting default probability as well the relative importance of each of its associated drivers. A logistic regression model and NN have been used as the predictive analytic tools for sifting the key drivers of default.

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Journal of Advanced Chemical Engineering AbstractNovel advanced oxidation processes (AOPs) show extraordinary potential for application in numerous waste water treatment. This research work provides a solution for the removal of nitro phenols a common water pollutant. All studies were done in batch mode in a constantly stirred reactor. Reactant ozonation can be viewed, firstly as homogeneous photo-catalytic ozonation, which depends on ozone activation by metal particles present in solution, and secondly as heterogeneous catalytic ozonation using Granular Activated Carbon (GAC). The present study reveals that Cr 3+ , Co 2+ , Ce 4+ and Cu 2+ ions favour the ozonation of nitro phenols by increasing the rate of ozonation and a much higher degradation of substrates was obtained in a given time. In case of heterogeneous catalytic ozonation using GAC catalyst, it was found that initially pollutants were adsorbed as the solution concentration decreased significantly within 5 minutes of contact. The maximum percentage reduction of the substrate was achieved in minimum possible time when catalysis was employed. The catalysts Co 2+ and GAC gave the best results with respect to time and percentage degradation.