&w=3840&q=100)
SBI flags Reliance Comms loan as fraud; Anil Ambani's name sent to RBI
'Fraud Identification Committee of the Bank has decided to classify the loan account of Reliance Communication Limited as Fraud,' SBI stated in the letter dated June 23, 2025, enclosed with the filing. The letter, received on June 30, cites various irregularities, including potential fund diversion through related entities, including Reliance Telecom Ltd (RTL) and other group companies, and violations of loan terms that led to the fraud classification. SBI mentioned that the decision follows an examination of multiple show cause notices and forensic audits.
The bank noted that it is proceeding to report both the loan account and Anil Ambani's name to the RBI, in line with the RBI's Master Directions and Circulars.
Canara Bank in November 2024 had also classified the account of Reliance Communications as 'fraud', a decision that was stayed by Bombay High Court earlier this year.
Fraud claims predate Reliance Comms' insolvency
This action is in connection with credit facilities availed by Reliance Communications before the commencement of its corporate insolvency resolution process (CIRP) in June 2019. Since then, the company's affairs have been managed by Resolution Professional Anish Niranjan Nanavaty, under the supervision of the National Company Law Tribunal (NCLT), Mumbai Bench, which is currently reviewing an approved resolution plan.
Shielded from 'adverse effect' under IBC: RCOM
Reliance Communications said the company is under corporate insolvency resolution process (CIRP) from 2019. A resolution plan has been approved by creditors and awaits final approval by the National Company Law Tribunal (NCLT).
The credit facilities or loans referred to in the SBI communication, dated June 23, 2025, relate to the period preceding the commencement of the CIRP, it said. Under the Insolvency and Bankruptcy Code (IBC), these must be addressed through either an approved resolution plan or liquidation, the company said.
During the CIRP period, the company is protected from the institution, continuation of any suits, proceedings against the company, Reliance Communications mentioned.
In accordance with the immunity provisions under Section 32A of the IBC, upon the approval of the resolution plan by the NCLT, the company is to have immunity against any liability for any purported offences committed prior to the commencement of the CIRP, it said. In light of the recent development, the company is seeking legal advice to assess its next steps.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


New Indian Express
19 minutes ago
- New Indian Express
The worrying rise of personal, credit card and gold loans in India
Indian households are running into debt like never before. Alarmingly, household debt as a percentage of GDP has doubled in the past one decade. According to the RBI's latest Financial Stability Report released Monday, the household debt-to-GDP ratio stood at 41.9% (at current market prices) as on December 2024, as against 26% in June 2015. The good news, though, is that the debt burden has reduced from 42.9% in June 2024 to 41.9% as of December 2024. Moreover, Indian households' debt-to-GDP ratio is relatively low compared to other emerging market economies, which stood at 46.6%. But what's more concerning is the fact that households are loading up on destructive debt such as personal, credit card and gold loans, than constructive credit, which includes housing loans. On last count, non-housing retail loans—mostly used for consumption—accounted for a lion's share of 54.9% of total household debt as on March 2025 and 25.7% of disposable income as on March 2024. In other words, about Rs 55 out of every Rs 100 that banks and financial institutions are lending to individuals is going towards credit cards, consumer durable loans and all other personal loans, which have steep interest rates. Still, the share of these loans has been growing consistently over the years, and their growth has outpaced that of both housing loans and agriculture and business loans, according to RBI. Broadly, retail loans can be divided into three major categories—non-housing retail loans, housing loans and credit extended to individuals in their personal capacity, but utilised for either personal or business purposes. As on December 2024, if housing loans comprised 29% of total household debt, non-housing retail loans and agriculture and business loans accounted for the rest at 54.9% and 16.1%, respectively. Analysts also warn against the explosion of the riskiest slice of the credit market comprising sub-prime and near-prime personal loans, particularly amid rising living costs, stagnant wages and inflation. While non-housing retail loans are seeing an unprecedented increase in the recent past, the component of housing loans to overall household debt, on the other hand, has reduced from about 36%-37% in FY19 to 29% as on December 2024. Perhaps driven by the rush of non-housing retail loans, consumer segment loans grew at a CAGR of 20.4% between March 2021 and March 2025, as against 14.6% growth seen in overall bank credit. Disaggregated data shows that incremental growth has been mainly driven by existing borrowers availing additional loans, and their share has increased to more than a third of the housing loans sanctioned in March, 2025. Moreover, as RBI's latest report noted, the share of borrower accounts with loan-to-value (LTV) ratios greater than 70% is also rising, and delinquency levels are greater for lower-rated and highly leveraged borrowers. However, these have declined significantly from the levels seen during COVID-19. Sensing danger, the RBI has repeatedly flagged heightened risks in the unsecured lending segment and cautioned lenders to remain vigilant, while offering personal loans for consumption purposes. In fact, in November 2023, fearing a rise in bad loans, the central bank raised capital to risk-weighted asset ratios for both banks and NBFCs to 125%. Consequently, retail loan disbursements have slowed following the implementation of regulatory measures across lender types, product types and credit-active consumers. At an aggregate level, the per capita debt of individual borrowers has grown from Rs 3.9 lakh in March 2023 to Rs 4.8 lakh in March 2025. The rise in per capita debt has mainly been led by the higher-rated borrowers. The share of better-rated customers among total borrowers is growing, both in terms of the outstanding amount and the number of borrowers. This is important from a debt serviceability and financial stability perspective, as it indicates that household balance sheets at an aggregate level are resilient, the RBI noted. Higher debt may help boost consumption, but it could be detrimental to economic growth. As a 2017 BIS study (which used data on 54 economies over 1990-2015) revealed, household debt boosts consumption and GDP growth in the short run but mostly within one year. In the longer run, however, a one percentage point increase in the household debt-to-GDP ratio tends to lower growth by 0.1%. The negative long-run effects on consumption intensify as the household debt-to-GDP ratio exceeds 60%. Households' debt burden is rising even as the growth in household savings fell with a thud to 5.3% of GDP in FY23 -- a 47-year low. However, the Ministry of Finance in the past reasoned that the decline in household savings was due to a double-digit growth in personal loans. "The household sector is not in distress, clearly. They are buying vehicles and homes on mortgages," it clarified, dismissing concerns over the rising indebtedness of households. Even as loan growth to the consumer segment slowed down, the quality of the portfolio has improved. Delinquency levels, except for credit cards, have decreased, upgrades from Special Mention Accounts (SMA)-2 accounts shot up, while slippages fell. The gross non-performing asset ratio of the banks' consumer segment loans stood at 1.4% in March, 2025. Moreover, in a sign of improving underwriting standards, the share of borrowers rated prime and above increased for both PSBs and PVBs. Likewise, the NBFC sector too remains resilient, but remains vulnerable to stress in household balance sheets with attendant consequences for asset quality. Bad loans within the retail segment stood at 3.1% compared to 1.2% for banks in March 2025. But on balance, the RBI's latest report observed that overall risks to the Indian financial system from lending to households remain contained with easing monetary policy cycle likely to reduce debt service pressures on borrowers going forward. However, the trend in household debt accumulation, especially among lower-rated borrowers, requires close monitoring, it added. Meanwhile, an update of the analysis of financial wealth of Indian households shows that it sharply in FY24. Since Q3, FY20, asset price gains contributed to around one-third of the increase in the financial assets, while the remaining was on account of an increase in financial savings. Deposits and insurance and pension funds formed nearly 70% of household financial wealth as on March 2024 even as the share of equities and investment funds has increased.
&w=3840&q=100)

Business Standard
39 minutes ago
- Business Standard
RBI calls for real-time reporting, alternate data for credit access
There is a need for real-time or near real-time credit reporting—rather than the current fortnightly system—to improve underwriting precision, enable timely reflection of borrower actions such as loan closures or repayments, and deliver a superior consumer experience, said M Rajeshwar Rao, Deputy Governor of the Reserve Bank of India (RBI). 'Currently, credit data is refreshed on a fortnightly basis. We must aspire to more frequent updates. Real-time or near real-time credit reporting will improve underwriting precision, enable timely reflection of borrower actions like loan closures or repayments, and deliver a superior consumer experience,' Rao said in a keynote address delivered at TransUnion CIBIL's Credit Conference on July 1. According to Rao, the shift from fortnightly to real-time credit reporting requires investments in technology, process re-engineering and change management. 'But the rewards—transparency, efficiency, and trust—far outweigh the costs,' he said. CICs are independent third-party institutions that collect and compile financial data on individuals, including loan details, credit card history, and other credit-related information. This data is shared with member institutions, typically banks and non-banking financial companies (NBFCs), who use it to make informed loan decisions. Rao highlighted that since data quality is the bedrock of responsible lending, the RBI has mandated that CICs must provide a data quality index score to credit institutions (CIs) on a monthly basis to help improve the quality of submissions. He also flagged 'identity standardisation' as a key challenge, as CICs rely on CIs to provide accurate and validated identity details. 'We must move towards a unique borrower identifier—secure, verifiable, and consistent across the system,' he said. Rao noted that while CICs play a critical role in reducing information asymmetry and improving credit decisions, the digitisation of financial services and electronification of records has created a vast repository of data. 'This, coupled with the growth of fintechs and innovation in financial services, has created business opportunities to harness alternate data sets in order to better understand financial behaviour and creditworthiness. These insights can provide a richer perspective than conventional analysis and bolster financial inclusion,' he said. He added that CICs also have a significant role in enabling credit to the MSME sector. 'When commercial credit reporting is efficient, creditors need to rely less on relationship lending and soft information, and more on facts and fact-based analysis via credit reports and related products,' he said. Speaking on the Unified Lending Interface (ULI)—the latest addition to India's Digital Public Infrastructure to simplify and democratise credit access—Rao said one of ULI's standout features is its ability to tap into alternative digital data, enabling access to credit even for those without formal financial histories. 'Going forward, the potential for ULI to harness data from e-commerce platforms and gig economy apps could open new doors for credit inclusion for small sellers, delivery workers, and freelancers,' he said. Rao also highlighted that the rise in India's household debt as a percentage of GDP—43 per cent in 2024—has been fuelled more by an increase in the number of borrowers than by a rise in average indebtedness. He cautioned that the use of complex artificial intelligence (AI) and machine learning (ML) models in credit processes brings model risk, particularly when these models are not thoroughly tested, validated, or monitored for bias and performance drifts. 'Rigorous validation protocols, continuous monitoring, and robust governance frameworks are essential to ensure that these models remain fair, transparent, and aligned with regulatory and ethical standards. Innovation must be guided by the core values of integrity, transparency, and public service,' he said. With the rapid integration of AI and ML into credit delivery, Rao said it may not be long before what is now called 'alternate data' becomes mainstream for extending credit to those previously deemed 'ineligible'. He noted that microfinance will be one of the biggest beneficiaries of AI and ML adoption. Rao also pitched for tokenisation—the digital representation of financial or real assets on a programmable platform—as a tool to improve credit delivery. 'It could favour small and medium enterprises' (SMEs') access to credit by narrowing the information gap. Further, SMEs could improve their collateral offering by tokenising real assets or trade receivables, thus improving their standing in the credit markets,' he said.


India.com
41 minutes ago
- India.com
RBI Advises Banks To Use DoT's Financial Fraud Risk Indicator To Prevent Cyber Swindling
New Delhi: The Department of Telecommunications (DoT) sees the RBI's advisory to banks to integrate the Financial Fraud Risk Indicator (FRI) developed by it into their systems as a "watershed moment in the fight against cyber-enabled financial frauds". The RBI's advisory to all scheduled commercial banks, small finance banks, payments banks, and co-operative banks, issued on June 30, is a testament to the power of inter-agency collaboration in safeguarding citizens in India's growing digital economy, according to a DoT statement issued on Wednesday. It also underscores the strategic importance of automating data exchange between banks and the DoT's DIP through API-based integration, enabling real-time responsiveness and continuous feedback to further refine the fraud risk models, the statement said. The Financial Fraud Risk Indicator (FRI), launched in May 2025 by DoT's Digital Intelligence Unit (DIU), is a risk-based metric that classifies a mobile number to have been associated with medium, high, or very high risk of financial fraud. This classification is an outcome of inputs obtained from various stakeholders, including reporting on the Indian Cyber Crime Coordination Centre's (I4C) National Cybercrime Reporting Portal (NCRP), the DoT's Chakshu platform, and Intelligence shared by banks and financial institutions. It empowers stakeholders - especially banks, NBFCs, and UPI service providers- to prioritise enforcement and take additional customer protection measures in case a mobile number has a high risk. The Digital Intelligence Unit (DIU) of the DoT regularly shares the Mobile Number Revocation List (MNRL) with stakeholders, detailing numbers disconnected due to cybercrime links, failed re-verification, or misuse, many of which are tied to financial fraud. Banks and financial institutions can use FRI in real time to take preventive measures such as declining suspicious transactions, issuing alerts or warnings to customers, and delaying transactions flagged as high risk. The system's utility has already been demonstrated with leading institutions such as PhonePe, Punjab National Bank, HDFC Bank, ICICI Bank, Paytm, and India Post Payments Bank actively using the platform. With UPI being the most preferred payment method across India, this intervention could save millions of citizens from falling prey to cyber fraud. The FRI allows for swift, targeted, and collaborative action against suspected fraud in both telecom and financial domains, according to the DoT statement. DoT said that it remains committed to supporting banks and financial institutions in their efforts to combat cyber-enabled fraud by deploying technology-led, nationally coordinated solutions like the Financial Fraud Risk Indicator. This move marks a new era of digital trust and security, reinforcing the Government's broader Digital India vision. DoT also said that it continues to work closely with RBI-regulated entities to streamline alert mechanisms, accelerate fraud detection, and integrate telecom intelligence directly into banking workflows. As more institutions adopt FRI into their customer-facing systems, it is expected to evolve into a sector-wide standard, reinforcing trust, enabling real-time decision-making, and delivering greater systemic resilience across India's digital financial architecture, the statement added.