RBI Shifts To Expected Credit Loss Model To Strengthen Bank Resilience 

RBI Shifts To Expected Credit Loss Model To Strengthen Bank Resilience 

New Delhi, Apr 28 (KNN) The Reserve Bank of India (RBI) is set to implement an expected credit loss (ECL)-based provisioning framework for banks from April 2027, marking a shift from the current incurred loss approach to a more forward-looking system of recognising credit risk.

The proposed framework aims to strengthen the resilience of the banking sector by requiring lenders to make provisions based on expected future losses rather than waiting for defaults to occur, reported Business Standard.

This transition is expected to align India’s banking regulations with global best practices in risk management.

Improved Transparency, Higher Initial Provisioning 

Under the ECL framework, banks will need to assess credit risk at an earlier stage and set aside provisions accordingly, taking into account macroeconomic conditions and borrower-specific factors. 

This is likely to improve transparency in financial reporting and enhance the overall stability of the financial system.

Banks Get Time to Prepare, Strengthen Systems 

The RBI has indicated that the implementation timeline provides sufficient runway for banks to upgrade their internal systems, data capabilities, and risk assessment models. 

Lenders are expected to undertake significant preparatory work, including strengthening credit monitoring mechanisms and building robust data infrastructure.

The move may initially lead to higher provisioning requirements for banks, which could have an impact on profitability in the short term. 

However, over the long term, it is expected to improve asset quality recognition and reduce the risk of sudden spikes in non-performing assets (NPAs).

The transition to the ECL-based system is part of the RBI’s broader efforts to enhance prudential regulation and ensure that the banking sector remains well-capitalised and better equipped to absorb potential financial shocks.

(KNN Bureau)

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