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 »
Heckyl Credit Risk Early Warning System has identified 50+ companies with a long working capital cycle based on analysis of 1,012 companies’ balance sheet for FY16 and FY17. The longer working capital cycle puts pressure on company’s cash flows and may result in higher short term debt. Hence, long working capital cycle is a red-flag for lenders.
Heckyl system captures company related red-flags based on a variety of business rules. Financial data is one of the important data points in the assessment of credit risk. Heckyl EWS consists of thousands of business rules that analyze the financial data.
Indian banks tend to take on more risks during an upturn in credit growth while non-performing loans (NPLs) of private banks are more reactive to changes in interest rates, according to the recent RBI working paper. The report highlighted a one percent increase in loan growth leads to a 4.3 percent rise in NPLs over total advances (NPL ratio) in the long run.
Post demonetization of higher currency notes, banks have received whopping Rs 12.4 lakh crore in cash deposits. Some portion of these cash deposits is expected to remain with banks, which will improve liquidity in the system. It will enable banks to ease interest rates and boost lending operations.