Early warning system
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.
77% of companies with “below industry average news sentiment” witnessed a deterioration in financials
FiND Credit Risk Early Warning System (EWS) captures company related red-flags through analysis of millions of data points and news. Unstructured data sets such as “news” are an important piece of information that can be consumed in the risk assessment of corporate borrowers.
Our hypothesis is that the news sentiment acts as a lead indicator to the deterioration in the company’s financial performance. To test this hypothesis, we back-tested news data of 2,250+ companies for the year 2016 on the following business rule:
Company’s news sentiment average stays below the industry average for all 4-quarters in CY16
We identified 924 such companies. Then, we checked if there is any deterioration in the quarterly financial performance (measured by the score of financial business rules) for these companies in the next 4-quarters (CY17).
For 77% of companies (714/924), we found that A. The number of red flags on quarterly financials outpaced the number of green flags in CY17 and B. The net score of red flags was lower than minus 10 for all 4-quarters in CY17.
We have highlighted 3 such companies whose news sentiment remained below the industry average for all 4-quarters in CY16.
We have also listed quarterly result charts for these 3 companies which highlight a deterioration in their financial performance in the subsequent quarters.
Publically available data from Employees’ Provident Fund Organization (EPFO) is an important piece of information that can be consumed in risk assessment of corporate borrowers. In our view, deep-dive analytics on EPFO data can offer unique insights into the company’s functioning.
Through analysis of EPFO data, the banks can find out whether the companies in their loan portfolio are depositing employees’ provident fund (PF) on time or not; and whether there is any significant drop in the PF amount deposited by the company. At the same time, lenders can also identify companies which are downsizing the workforce.
FiND Credit Risk Early Warning System (EWS) consists of 25+ business rules that analyze the EPFO data for the companies every month. One of the key business rules is a delay in PF payment for a given month. In our view, a delay in PF payment may imply liquidity crunch for the company and hence it is a red flag for the banks.
Our hypothesis is that red flags related to PF payment can act as a leading indicator to the deterioration in the company’s financial performance. To test this hypothesis, we back-tested our engine on EPFO data for three months (Jan-17, Feb-17, and Mar-17) on the below-mentioned business rule:
Delay in monthly payment of PF by more than 10 days for more than 50 employees
From our EPFO data universe of 1,250+ companies, FiND EWS identified 35 companies who have delayed PF payment for all 3 months.
Then, we checked if there is any deterioration in the financial performance (captured by FiND Financial Risk score) for these companies post-March 2017 quarter.
We found that: 86% of companies (30/35) witnessed a deterioration in Financial Risk score in the subsequent quarters.
We highlight 10 such companies below:
[Image 1: Financial Risk Score for 10 Companies with PF red flags] Read the rest of this entry »
99% of companies with significant promoter share pledging witnessed deterioration in financials: FiND Study
Recent fraud at Punjab National Bank (PNB) worth Rs 145 billion has once again brought to the fore the inadequate risk management in the Indian banking system. There is no denying that banks need to strengthen their existing risk management systems to avoid such frauds and arrest alarming rate of growth in stress assets.
There is a plethora of actionable data available on the web which can not only help banks be vigilant on a particular borrower but also help decide whether to increase the credit limit to a certain borrower. One such data set is promoters’ pledged shares holding, which can be consumed in risk assessment of corporate borrowers.
In our view, substantial pledging of shares by the promoters is a potential red-flag as it is an indication of the stress that has piled up on corporate finances. Moreover, a significant drop in the company’s share price may result in the invocation of pledged shares. This may also lead to loss of management control for the promoters.
At the same time, red flags related to promoter pledged shares can act as a leading indicator to the deterioration in the company’s financial performance. To test this hypothesis, we back-tested our business rule output to find out companies with a significantly higher percentage of pledged shares for the December 2016 quarter. We applied the below-mentioned rule to identify such companies:
Promoter’s pledged shares % is more than 50% of total promoter shareholding
Our system identified 269 companies meeting the above rule for the December 2016 quarter. As a next step, we checked if there is any deterioration in the financial performance (captured by FiND Financial Risk score) for these 269 companies post-December 2016 quarter.
We found that: 99% of companies witnessed a deterioration in Financial Risk score in the subsequent quarters. Read the rest of this entry »
Promoter ownership data is an important piece of information that can be consumed in risk assessment of corporate borrowers. This is because steep fall in promoter ownership could mean low confidence of promoters in their own company. Moreover, promoter equity dilution may also invite a change in management.
Our hypothesis is that promoter ownership related red flags such as a significant drop in promoter shareholding can act as a leading indicator to the deterioration in the company’s financial performance.
To test this hypothesis, we back-tested business rule output derived from FiND Credit Risk Early Warning System for all listed companies. Our back-testing has shown 298 promoter ownership related red flags for 232 companies for the March 2016 quarter.
As a next step, we have checked if there is any deterioration in the company’s performance captured by our Financial Risk score for these 232 companies over the last 2 years.
We found that: 85% of companies witnessed a deterioration in Financial Risk score in the subsequent quarters.
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 »