Review of credit risk and credit scoring models based on computing paradigms in financial institutions

Deepika Sharma, Ashutosh Vashistha and Manoj K. Gupta

Journal of Credit Risk

Abstract: Modern financial credit-disbursing institutions are characterized by fairly complex processes that struggle to improve the accuracy and predictability of credit scoring models. A bewildering array of studies have proposed methodologies to adapt big data analytics to this problem. This paper offers a brief overview of major studies and compares techniques along the following five dimensions: expected response time, threshold of input data, accuracy of output, reliability and computational overhead.

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