RBI ECL Framework: The Indian banking system will see a major revamp after the implementation of Expected Credit Loss (ECL) rules from April 01, 2027. The Reserve Bank of India (RBI) has released the directions for the new lending rules to be applicable for scheduled commercial banks.
This will lead to a fundamental shift in the lending ecosystem from the current incurred-loss provisioning framework to an Expected Credit Loss (ECL) approach for Scheduled Commercial Banks (excluding rural banks, small finance banks, and payment banks).
The draft rules for the proposed shift were issued last year on April 01, 2025.
These guidelines are set to align India’s prudential norms with global financial reporting standards under IFRS 9, enhancing transparency, comparability, and resilience in the banking sector.
What Is RBI’s Expected Credit Loss (ECL) Approach?
Following the implementation of ECL, Indian banks will be required to estimate or predict potential losses on loans or financial assets in advance, instead of waiting for a default to happen.
ECL will include loans, debt securities, trade and lease receivables, loan commitments, off-balance sheet exposures, and other financial assets with contractual cash flows.
Banks will classify financial instruments into Stage 1, Stage 2, and Stage 3 based on credit risk deterioration and apply corresponding provisioning.
Stage 1: 12-month ECL
Stage 2: Lifetime ECL, significantly increase in credit risks
Stage 3: Lifetime ECL with credit-impaired assets
Meghana Kalarickal, Head of Product Development, Fexo GenAI Technologies explained the Reserve Bank of India’s (RBI) latest Expected Credit Loss (ECL) guidelines do not simply create a new regulatory environment; rather, they promote flexibility within the banking sector.
“Instead of tagging a loan as NPA only after it has remained unpaid for 90 days, predictive statistical methods can be used to determine whether the loan will default,” Kalarickal added.
Moving from an incurred loss model to forward-looking risk assessment, it’s a structural upgrade that forces discipline across the lending chain, argued Sarika Shetty, Co-founder & CEO, RentenPe, adding that banks will now price risk more accurately, which means business players underwriting models, co-lending structures, and embedded credit products can be built on cleaner, more structured and transparent data.
Sagar Lakhani, Partner, Accounting & Reporting Consulting, Uniqus Consultech the RBI has closed the last escape route for under-provisioned balance sheets. “The introduction of prudential floors means model-driven optimism can no longer mask inherent credit stress. The governance mandate, requiring board-level oversight through a CFO-CRO committee and a three-tier model risk management structure, signals that ECL is not just an accounting exercise, it is also a risk culture overhaul,” Lakhani added.
What It Means For Borrowers
Experts believe that borrowers may experience a more conservative lending approach.
Kalarickal believes that people with minimal credit history may find it more difficult or more expensive to secure credit. “With potentially lower interest rates commensurate with their individual risk profile, those with less access to historical credit information may also find it more,” Kalarickal added.
Shetty says that consistent rent payments can serve as an early signal of creditworthiness. “This change has the potential to expand formal credit access for millions of renters while helping lenders improve risk prediction,” Shetty added.
What It Means For Banks
For banks, the challenge is deeply operational. Even with gross NPAs at a relatively low ~2.1–2.2%, provisioning norms could tighten significantly, explained Kalarickal. “The early-stage loan buffers could rise from ~0.4% to as much as 5%, mandating banks to set aside much more money upfront for potential losses on new loans,” she said.
Kalarickal said that the real hurdle isn’t just capital—it’s loads of unorganised data. As years of loan records sit scattered across legacy systems and documents, they need to be put to use both strategically and efficiently, she added.
Shetty said that the short-term hit to provisioning will hurt but cleaner balance sheets mean more confident capital allocation into housing, infrastructure, and digital lending. “Platforms that can structure and validate such behavioral data will become critical enablers in the evolving credit ecosystem,” concluded Shetty.
Source: News 18
