Corporate default or bankruptcy do not happen overnight. There is a sequence of events such as layoffs, legal/ regulatory issues and management change leading to default or bankruptcy.
In our view, unstructured data sets such as news is an important piece of information that can detect such a sequence of events prior to default.
Our hypothesis is that deep-dive analytics on news data can capture the pre-default behavior of corporates. At the same time, it can also help banks to identify distress corporate borrowers ahead of time.
To test our hypothesis, we analyzed news data for 12 US-based oil and gas exploration & production companies which went bankrupt in the past 2-years.
Here, we present one such case of SandRidge Energy Inc which filed for bankruptcy protection in May 2016.
FiND Credit Risk EWS captures company-related red-flags based on a variety of business rules. Our intelligent EWS application can help lenders to get an early warning about the deterioration in corporate borrowers’ financial profile ahead of time.
To know more about FiND Credit Risk EWS, email us at firstname.lastname@example.org