Heckyl Risk Analytics System is the first of its kind innovative application that provides early warning signals through analysis of traditional and alternative datasets for identifying distress sectors and companies ahead of time.
We have developed Sector News Sentiment Score in our Risk Analytics System for identifying the first sign of stress or green shoots of recovery in sectors. At the same time, our application offers deep-dive analytics on sectors through analysis of news flow under various categories.
Moreover, our application also helps in identifying the best and the worst performing companies within each sector through analysis of news sentiment.
To show the capabilities of our Risk Analytics System, we have prepared Sector News Report. Here, we present some of the key insights from the report:
#1. IT, Metals, Industrial Manufacturing and Telecom sectors have registered a steep fall in sentiment average in H2 CY19.
#2. Automobile sector sentiment average recorded the third consecutive sequential drop in H2 CY19.
#3. Chemicals, Pharma, Textiles and Fertilizers sectors’ news sentiment averages bounced back in H2 CY19.
The bad loans of Indian banks has touched a record high of Rs 9.5 trillion at the end of June 2017. The banks witnessed an increase of 4.5% in bad loans from January to June 2017, according to RBI data. The recent surge in bad loans suggests that there is no end to the NPA crisis anytime soon.
Heckyl believes there is a lot more that can be done in the credit risk space in the financial institutions. It is no secret anymore that be it the banks or the non-banking financial companies (NBFCs), the wrath of the non-performing assets has spared none. Although, these financial institutions have their existing risk models in place, the important question remains, that is, are they able to comprehensively highlight the impending risk ahead of time?
Heckyl has developed innovative Credit Risk Early Warning System (EWS) that collects, organizes and performs deep-dive analytics on structured and unstructured data sets to offer 360-degree view on lender’s loan portfolio. Our EWS application identifies the pre-default behavior of corporate borrowers to help lenders pick up warning signals ahead of time.
Heckyl EWS spots several red-flags on Sintex Industries Read the rest of this entry »