Reserve Bank of India (RBI) deputy governor Viral V Acharya today called for enacting a special law to enable the proposed public credit registry (PCR) to come into being, and said this can go a long way in resolving the deep data asymmetry in the financial system which in turn can help prevent bad loan pile-up.
With a low credit-to-GDP ratio of a modest 55.7 per cent, the country is still under-penetrated financially and the proposed PCR can help the system move towards more equitable and timely access to credit, especially to the underserved segments, and thus democratise and formalise the credit flow, he said.
According to the Q4 2017 data from the Bank for International Settlements, India's credit-to-GDP ratio stood at a low 55.7 per cent, against China's 208.7 per cent, Britain's 170.5 per cent and the US' 152.2 per cent. Norway lead the chart with 245.6 per cent credit-to-GDP ratio.
He also said those countries which have PCRs or private credit bureaux have been the ratio of private credit to GDP in many countries by 7 to 8 percentage points over a five-year horizon as credit registries and bureaux do not just increase the amount of borrowing but also improve the quality of borrowing.
"It's desirable to have a special comprehensive legislation, overriding the prohibitions contained in all other legislations on sharing of information required for the PCR. Otherwise, all such legislations will have to be amended separately, providing an exemption for sharing of information with PCR," Acharya told the Ficci-IBA-organised national banking conference through a Skype call.
Underlining that almost everywhere PCRs are backed by a specific law, he said a PCR Act can enable us transparently address the entire gamut of governance issues including data acquisition and its dissemination through access rights by various users.
He expressed hope that barring a desired legal backing, the country can move on to implement the PCR as there is a robust Aadhaar data of over one billion people in place and other supporting corporate data like GST Network, and other corporate information like CIN, et al.
According to GST Network, about 0.6 per cent of firms, which account for 38 per cent of total turnover, 87 per cent of exports, and 63 per cent of GST liability, are in what may be called the 'hard core' formal sector in the sense of being both in the tax and social security net, he said, adding the informal economy employs nearly 50 per cent of the nation's workforce.
It can be recalled that the idea of PCR was mooted by Acharya himself last July, following which the RBI appointed a high-level task-force under the chairmanship of YM Deosthalee in October 2017 and the panel submitted the report backing the idea in April.
The PCR will be an extensive database of credit information for all credit products, from the point of origination of credit to its termination (repayments, recast, default, resolution etc), eventually covering all lender- borrower accounts without a size threshold.
"The PCR increases the efficiency of lending by reducing information asymmetry using a PCR, the lender can get a 360-degree view of the borrower's other outstanding credits and past performance, allowing better screening at the time of credit origination and superior monitoring during the life of the credit," said Acharya.
Today, information on borrowings from banks, NBFCs, corporate bonds or debentures from the market, external commercial borrowings, foreign currency convertible bonds, Masala bonds, and inter-corporate borrowings are not available in a single data repository, he noted.
"The main objective of the PCR is to fill this lacuna and capture all the relevant information about a borrower, across different borrowing products, in one place. Moreover, significant parts of this registry of borrowing contracts and repayment history will be accessible to all stakeholders provided they too share their data with the PCR," he said.
Acharya argued that had there been better data sharing or their availability of the same, the NPA problem would not have been as bad as it is today, where close to 12 per cent of system-wide assets is dud.
Recalling the difficulties faced by the RBI in identifying the large corporate NPAs, he said, "In spite of the private credit bureaux operating for several years and doing a vital job for retail credit scoring, RBI could not precisely assemble data on the quality of the credit portfolio of banks' large borrowers at an aggregate level."
He said the data is simply not being reported with integrity and full coverage in case of large corporate borrowers.
"That is where RBI's Central Repository of Information on Large Credits (CRILC), initiated in 2014, made a huge difference, even if it was somewhat late to be set up," he added.
"The asset quality review that followed in 2015 relied heavily on CRILC data to cleanse the augean stables of massive and unrecognised NPAs. The credit information system, as a whole, has many such gaps which leave much scope for improvement," the deputy governor concluded.
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