Indian Banks Seek ECL Relief as rising government bond yields increase concerns over the cost of adopting the Reserve Bank of India’s (RBI) new Expected Credit Loss (ECL) framework.
Lenders are seeking greater flexibility in provisioning requirements as they prepare for the new accounting rules scheduled to take effect from April 1, 2027.
The transition could put additional pressure on banks because they will have to account for potential credit losses under the new system while also dealing with valuation changes in their investment portfolios.
Rising bond yields have made the financial impact more difficult to estimate.
Banks are particularly concerned about the valuation of their Held-to-Maturity (HTM) investment portfolios.
Higher yields can reduce bond prices, potentially increasing the valuation losses banks may face when the revised accounting requirements come into force.
 Indian Banks Seek ECL Relief Before April 2027
The banking industry is preparing to move from the existing incurred-loss provisioning system to a forward-looking ECL framework.
Under the new approach, banks will have to estimate possible credit losses earlier instead of waiting until borrowers show clear signs of repayment difficulties.
The RBI issued its final ECL directions in April 2026, with implementation scheduled for April 1, 2027.
Banks are now assessing the additional provisions required and the possible effect on their regulatory capital and profitability.
Lenders are also seeking discussions with the regulator over provisioning percentages and the possibility of spreading the additional financial burden over multiple years.
Banks want a smoother transition rather than having to absorb a substantial impact at once.
The RBI is expected to discuss implementation concerns with bankers and industry stakeholders on November 12, 2026.
The discussions are expected to cover provisioning requirements and other practical challenges associated with the transition.
 Rising Bond Yields Increase Banks’ Financial Burden
One of the biggest concerns is the relationship between government bond yields and the market value of existing bonds.
Bond prices generally move in the opposite direction to yields. When yields increase, the market value of previously issued bonds tends to decline.
This creates an additional challenge for banks holding large investment portfolios classified under the HTM category.
Under the revised valuation requirements, these investments could create additional financial adjustments when banks transition to the new framework.
Canara Bank has increased its estimated combined one-time transition requirement to Rs 12,000 crore to Rs 15,000 crore, compared with its earlier estimate of Rs 10,000 crore to Rs 12,000 crore.
The revised estimate takes potential valuation losses on its HTM portfolio into account.
The bank has indicated that the final amount will depend on government bond yields prevailing when the new rules become effective.
It has also expressed confidence in its ability to manage the additional burden without significantly affecting its capital position.
Canara Bank reported a provision coverage ratio of 95.34% and a Common Equity Tier 1 (CET1) capital ratio of 12.80%, providing it with a financial buffer to absorb potential losses.
Indian Bank has estimated its ECL-related impact at approximately Rs 3,500 crore and has already set aside Rs 2,500 crore towards the requirement.
However, the additional impact from HTM valuation will depend on market conditions.
How Much Will Other Banks Need for ECL Provisions?
Several other lenders have also disclosed their estimated financial requirements for the transition.
Punjab National Bank has reduced its estimated ECL requirement to around Rs 8,000 crore from its earlier estimate of Rs 9,000 crore to Rs 9,500 crore. The improvement follows changes in its calculation systems.
Union Bank of India has maintained its estimated additional provisioning requirement at Rs 5,500 crore.
Federal Bank expects the one-time transition impact to be equivalent to approximately 1.5% to 2% of its net worth.
State Bank of India has estimated the net-of-tax impact of the transition at Rs 19,500 crore. The bank has indicated that it intends to use the four-year transitional arrangement available under the framework.
These estimates show that the transition could involve substantial financial adjustments across the banking industry.
However, the final impact will depend on individual banks’ loan portfolios, investment holdings, provisioning calculations and prevailing market conditions.
What Is the New Expected Credit Loss Framework?
The ECL framework will replace the existing incurred-loss-based provisioning approach with a system that requires banks to estimate future credit losses using forward-looking information.
Under the three-stage system, financial assets will be classified according to changes in their credit risk.
Stage 1 assets will require provisions for expected credit losses over the next 12 months. Stage 2 and Stage 3 assets will require provisions based on lifetime expected credit losses.
The framework will also require banks to use factors such as Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD) while calculating potential losses.
The objective is to improve risk management and ensure that banks recognise possible financial stress earlier. The existing 90-day norm for classifying loans as non-performing assets will continue.
The RBI has also provided a four-year transitional arrangement to help banks manage the initial impact on regulatory capital.
This allows eligible banks to gradually absorb the additional provisioning burden instead of recognising the entire impact immediately.
For banks, the demand for ECL relief is therefore linked not only to the amount of additional provisions but also to the timing and valuation of investment portfolios.
The November 12 discussions could provide an opportunity for lenders to explain their implementation challenges and seek clarity from the regulator.
However, any changes to the final requirements will depend on the RBI’s decisions.
