Journal of Credit Risk

Risk.net

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

Deepika Sharma, Ashutosh Vashistha and Manoj K. Gupta

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.

To continue reading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: