Every bank that lends money carries credit risk: the chance that a borrower will not repay. Basel III credit risk rules exist to make sure banks hold enough capital against that chance. The calculation method must let regulators and investors compare banks fairly. The Basel Committee finalised these rules in December 2017. National regulators are still rolling them out. In India, the Reserve Bank of India has set April 1, 2027, as the date its own Basel III credit risk directions take effect. That deadline is now less than a year away. Risk teams, auditors, and analysts are revisiting the framework in detail as a result.
The stakes are practical, not academic. Capital charges under Basel III credit risk rules directly affect loan pricing, portfolio limits, and which business lines remain profitable for a bank. A change in risk weight for a single exposure category can shift a bank’s capital ratio by tens of basis points across a large book. Regulators, auditors, and rating agencies will all expect risk and finance teams to explain the new numbers, not just report them.
This article walks through what changed, why it matters, and what Indian banks specifically need to prepare for.
The Basel Committee on Banking Supervision published “Basel III: Finalising post-crisis reforms” in December 2017. Practitioners often call it Basel IV, because it changes so much of how banks calculate risk-weighted assets (RWAs). The reforms address a core problem. RWAs calculated by different banks, using different internal models, varied far more than regulators thought was justified, even for very similar loan books.
The finalised Basel III credit risk package rests on five main pillars:
Each pillar affects credit risk measurement directly or indirectly. Together, they push banks toward more comparable, less model-dependent capital numbers.
Negotiations stalled for years over one question. How much should internal models be allowed to reduce a bank’s capital requirement? Some jurisdictions wanted models to retain a strong role. They argued that well-validated internal models price risk more accurately than a standardised table. Others wanted tighter constraints. They pointed to evidence that RWA variation across banks came from modelling choices, not genuine risk differences. The compromise, a 72.5% output floor, is covered in detail later in this article. The sections below unpack the SA, IRB, and output floor changes, since these carry the heaviest operational impact for credit risk teams.
Banks that do not have regulatory approval for internal models use the Standardised Approach to calculate credit risk capital. Basel III credit risk reforms rewrote this approach almost entirely, replacing broad, static risk-weight buckets with more granular, risk-driven ones.
Sovereign exposures largely retain existing treatment. Bank and corporate exposures now use more detailed lookup tables. Some jurisdictions restrict rating-based approaches, so banks there often lack external ratings for counterparties. For these cases, a new “standardised credit risk assessment approach” grades counterparties using due-diligence criteria instead. Corporate exposures also gain a dedicated treatment for specialised lending. This covers project finance, object finance, and commodities finance, each with its own risk-weight table.
Retail exposures split further into “regulatory retail” and “other retail,” each with different treatment for revolving credit. MSME exposures qualify for a supporting factor that reduces capital charges. This recognises their historically lower correlation with systemic downturns. Real estate exposures move to a loan-to-value-driven risk-weight structure. This separates income-producing real estate from owner-occupied property, since the two carry different loss patterns.
Credit conversion factors (CCFs) for off-balance sheet items were recalibrated upward in several categories. Actual drawdown behaviour during the 2008 crisis exceeded what the old factors assumed. Unconditionally cancellable commitments, which previously carried a 0% CCF, now attract a 10% CCF. This single change alone raises RWAs meaningfully for banks with large undrawn credit-line books.
A common mistake during implementation is treating the CCF change as a minor technical update. Banks with large corporate overdraft or working-capital-line portfolios often find the opposite. The shift from 0% to 10% CCF can outweigh several of the more heavily discussed exposure-class changes combined. Risk teams should model this change explicitly, rather than assume it nets out against other adjustments.
These standardised-approach outputs, and their internal-model counterparts, feed into portfolio-level capital calculations. For a deeper look at that process, see our guide on Portfolio Credit Risk: Measurement & Management. Banks with supervisory approval can use internal models to estimate their own probability of default (PD), loss given default (LGD), and exposure at default (EAD). Basel III credit risk reforms tighten where and how this is allowed. The evidence behind this: model-based RWAs varied too widely for similar exposures. The advanced IRB (A-IRB) approach is no longer available for equity exposures. It is also unavailable for exposures to banks and other financial institutions. The same applies to large and mid-sized corporates with consolidated revenue above €500 million. Banks with these exposures must instead use the foundation IRB (F-IRB) approach. F-IRB lets a bank model PD internally, but it applies supervisory values for LGD and EAD. Specialised lending, retail, and smaller corporate exposures can still use A-IRB, subject to the new input floors described below. This shift to F-IRB is significant for banks that previously modelled LGD and EAD internally for large corporate portfolios. Two of the three parameters driving RWA move from bank-estimated to supervisor-set values overnight. This removes a source of RWA variability. It also removes a lever banks previously used to reflect genuinely strong collateral or recovery performance. Input floors set a minimum value for bank-estimated risk parameters. This stops a model from pushing capital requirements below a level regulators consider prudent. The PD floor for most exposure classes rises from 3 basis points (0.03%) under Basel II to 5 basis points (0.05%). LGD input floors for A-IRB exposures range from roughly 25% to 50% for unsecured portions. Secured portions range from 0% to 15%, depending on collateral type. Under F-IRB, the supervisory LGD for senior unsecured corporate exposures falls from 45% to 40%. It stays at 45% for exposures to banks and other financial institutions. Basel II’s 1.06 scaling factor on IRB-derived RWAs has been removed entirely. The new floors and the output floor already build in enough conservatism. These floors matter most for low-default portfolios, such as sovereign or large corporate lending, where historical default data is thin. A bank might genuinely observe very few defaults in a segment over 15 years of data. A model calibrated purely on that history could produce a PD estimate well below 0.05%. The floor overrides that outcome. Thin data, not genuinely low risk, is often the real explanation. Estimating these parameters accurately is central to IRB compliance work, as is understanding how the new floors interact with existing models. Our guide on PD Estimation Methods for Credit Risk: A 2026 Guide covers the techniques risk teams use to build and validate these models. The output floor is arguably the most consequential piece of the Basel III credit risk reforms. It applies regardless of how good a bank’s internal models are. It sets a floor under total RWAs calculated using internal models. That floor is expressed as a percentage of what the same exposures would generate under the standardised approaches. The formula is straightforward. Total RWA equals the greater of (a) RWA calculated using internal models, or (b) 72.5% of RWA calculated using only standardised approaches. Suppose a bank’s internal models produce materially lower RWAs than the standardised approach. That bank will still hold capital against the floored amount, not its lower model-based figure. This caps the capital benefit any bank can gain purely from using internal models at 27.5% relative to the standardised baseline. A simplified example illustrates the mechanics. Suppose a bank’s internal models produce RWA of ₹600 crore for a portfolio. The same portfolio would generate RWA of ₹1,000 crore under the standardised approach. At full phase-in, the floor requires RWA of at least 72.5% of ₹1,000 crore, or ₹725 crore. Since ₹725 crore exceeds the model-based ₹600 crore, the bank must hold capital against ₹725 crore, not its own model output. The bank’s sophisticated modelling still matters for risk management and pricing decisions. It no longer determines the regulatory capital floor on its own. The Basel Committee designed the output floor to phase in gradually, giving banks time to adjust: Individual jurisdictions have applied this timeline with local variations. Some have deferred their start dates. Banks tracking their own transition should confirm the exact schedule their home regulator has adopted. Do not assume the original BCBS dates apply unchanged. For banks that rely heavily on internal models, the output floor changes capital planning and pricing. It can even change which business lines remain attractive, since RWA benefits from model sophistication now have a hard ceiling. India’s implementation of Basel III credit risk requirements has taken a deliberately narrower path than some other jurisdictions. The RBI issued the Commercial Banks – Capital Charge for Credit Risk (Standardised Approach) Directions, 2026, on April 27, 2026. A draft version had been released for consultation in October 2025. The final Directions take effect from April 1, 2027. The roughly eighteen-month gap between draft and final gave banks, industry bodies, and consultants time to submit feedback. The RBI has stated it incorporated that feedback into the final text. Crucially, the RBI has chosen to implement only the Standardised Approach for credit risk capital, not the Internal Ratings-Based approach. The IRB input floors and the output floor mechanics described above are part of the global BCBS package. They are not, in themselves, requirements the RBI has imposed on Indian banks. Indian banks calculate their entire credit risk capital charge under the SA framework. That framework still absorbs most of the granularity improvements described earlier. These include revised sovereign, bank, and corporate risk weights, MSME support factors, real estate loan-to-value tiers, and recalibrated credit conversion factors. The 2026 Directions apply to the banking book of commercial banks, excluding Small Finance Banks, Payments Banks, and Local Area Banks. Coverage spans sovereign, bank, corporate, MSME, retail, and real estate exposures, plus off-balance sheet items. This largely mirrors the exposure categories in the BCBS standardised approach. The Directions also refine treatment for specialised lending, non-performing assets, and unhedged foreign currency exposure, adapting the global text to India’s regulatory context. Risk weights change across almost every exposure category, so banks cannot simply plug new numbers into old processes. The Internal Capital Adequacy Assessment Process (ICAAP) needs updated capital projections that reflect the new SA weights. This matters most for real estate and off-balance sheet portfolios, where the changes are largest. Stress testing frameworks need recalibrated starting RWAs, since stressed capital ratios are calculated relative to a different baseline. Risk-based pricing models set loan rates partly to cover the cost of regulatory capital. These models need updated capital charges per exposure type, or pricing will misstate the true cost of specific loan segments. Credit limit-setting, especially for large corporate and specialised lending exposures, should reflect the revised capital consumption per unit of exposure. Otherwise, limits set under the old framework will understate the capital a given exposure now requires. Banks with April 2027 in view have limited runway. Data gaps often surface only once teams start recalculating RWAs under the new rules. This is especially true for external ratings coverage and collateral documentation needed for the revised CCF and LTV treatments. Early gap analysis, well before the effective date, is the difference between a smooth transition and a scramble in the final quarter. Banks preparing for the April 2027 deadline tend to repeat a few avoidable errors. First, treating the transition as an IT or reporting exercise, rather than a capital and business decision. New risk weights change which segments generate attractive risk-adjusted returns, so business heads need visibility early, not after go-live. Second, underestimating data requirements for the revised real estate and specialised lending treatments. These depend on loan-to-value ratios and collateral documentation that may not currently sit in a structured, auditable format. Third, running parallel calculations too close to the deadline. This leaves little time to investigate and resolve discrepancies between old and new RWA figures before auditors and the RBI expect clean numbers. Is Basel III the same as Basel IV? “Basel IV” is an informal industry term for the December 2017 finalisation of Basel III. The official title is “Basel III: Finalising post-crisis reforms.” The Basel Committee itself uses the Basel III name. Does the output floor apply to Indian banks? The RBI has implemented only the Standardised Approach for credit risk in India. The IRB-linked output floor is not a direct requirement under the current Directions. It remains relevant for globally active Indian banking groups with IRB approval abroad. What is the difference between Foundation IRB and Advanced IRB under the new rules? Foundation IRB lets a bank model PD internally, while using supervisory values for LGD and EAD. Advanced IRB lets a bank model all three parameters itself. Basel III credit risk reforms remove Advanced IRB for equities, banks, financial institutions, and large corporates. When do RBI’s new credit risk directions take effect? The Commercial Banks – Capital Charge for Credit Risk (Standardised Approach) Directions, 2026, take effect from April 1, 2027. They apply to all commercial banks other than Small Finance Banks, Payments Banks, and Local Area Banks. Why does the PD floor matter if a bank rarely sees defaults in a segment? Low-default portfolios are exactly where internal PD estimates are least reliable, since there is little historical data to validate them. The 5 basis point floor stops banks from modelling implausibly low default probabilities in these segments. How should Indian banks start preparing for the 2027 deadline? Start with a gap analysis comparing current risk weights to the 2026 Directions across every exposure category. Quantify the RWA and capital impact before addressing data and system changes. Running this analysis early leaves time to fix data gaps, rather than discovering them during parallel-run testing close to April 2027. Basel III credit risk requirements touch model development, capital planning, pricing, and regulatory reporting all at once. Teams that understand RWA calculation, PD and LGD estimation, and the output floor are better placed to manage the transition, wherever their institution operates. The certification covers RWA calculation under both the standardised and IRB approaches, along with PD and LGD estimation. It also covers the regulatory context behind each formula, so participants leave able to work directly with a bank’s or NBFC’s capital models. Explore Dexlab Analytics’ Credit Risk Modeling certification program to build PD, LGD, and EAD models from scratch, work through IFRS 9 ECL frameworks, and learn model validation techniques used by practicing risk teams.
Where Advanced IRB No Longer Applies
New PD, LGD, and EAD Input Floors
The Output Floor: Capping the Capital Benefit of Internal Models
How the Floor Works
Phase-In Schedule
India-Specific Implementation: RBI’s 2026 Directions and the 2027 Deadline
Scope of Exposures Covered
Implications for ICAAP, Stress Testing, Pricing, and Limit-Setting
Common Implementation Mistakes to Avoid
Frequently Asked Questions
Build the Skills to Navigate These Changes
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