Significant Increase in Credit Risk (SICR) is the bridge between 12-month and lifetime ECL. The assessment focuses on whether the risk of default over the expected life has increased significantly since initial recognition—not merely whether a borrower is already in default.
No single indicator works for every product or borrower. A credible framework combines quantitative movement, delinquency information and qualitative credit intelligence, supported by documented thresholds and judgement.
1. Relative change in lifetime probability of default
Compare current lifetime default risk with the level at origination. Relative change matters because the same absolute increase can mean very different things for a low-risk and a high-risk exposure.
Thresholds may vary by origination grade, product, tenor or risk band. Validate them against realised deterioration and avoid a single percentage applied mechanically to every portfolio.
2. Internal rating or score migration
A material downgrade in an internal rating, behavioural score or application-to-behavioural risk measure can provide an operational SICR trigger.
The framework should distinguish ordinary model volatility from meaningful deterioration. Review grade changes, rating overrides, stale ratings and whether rating systems incorporate sufficiently forward-looking information.
3. Days past due and arrears behaviour
Delinquency remains an important backstop and behavioural signal. Monitor not only a point-in-time bucket but repeated missed payments, partial payments, rolling arrears and deterioration across facilities.
Past-due information should not become the only trigger. If the framework waits for arrears where earlier information was available, staging becomes less forward-looking.
4. Restructuring, rescheduling or payment relief
Concessions linked to borrower financial difficulty are powerful evidence of deterioration even when the exposure is not yet credit-impaired. Track changes in tenor, instalment, interest, moratorium or other terms and distinguish commercial renegotiation from credit-driven relief.
The SICR response, cure period and exit criteria should be explicit and consistently applied.
5. Watchlist or heightened-monitoring status
Credit, collections and relationship teams may identify deterioration before models do. Watchlist inclusion can capture borrower-specific facts such as management instability, covenant pressure or adverse industry exposure.
To use watchlists reliably, govern entry, severity, review frequency and removal. An informal list with inconsistent criteria can import bias into staging.
6. Covenant breach or weakening headroom
A formal breach is an obvious signal, but shrinking headroom can matter earlier. Monitor leverage, debt-service coverage, liquidity, minimum-net-worth and information covenants where relevant.
Waivers do not automatically remove the underlying credit signal. Assess why the breach occurred, the borrower's remediation capacity and whether revised terms indicate increased default risk.
7. Deterioration in borrower financial performance
Falling revenue, margin compression, cash burn, negative operating cash flow, rising leverage, working-capital strain and delayed statutory payments can indicate increased risk before missed instalments.
The relevant indicators vary by borrower and product. Corporate monitoring may use financial statements, while granular books may use bank-statement or transaction behaviour subject to appropriate data governance.
8. Adverse bureau, external rating or market information
External rating downgrades, bureau delinquency, new defaults with other lenders, sharp bond-spread movement or other observable market signals can strengthen the assessment.
External data should be timely, matched accurately and interpreted consistently. Absence of a downgrade is not proof that risk has not increased.
9. Collateral or guarantor deterioration
SICR concerns default risk rather than loss severity alone, so a fall in collateral value does not automatically establish SICR. It may nevertheless be relevant when it changes borrower incentives, refinancing ability or dependence on support.
Also monitor guarantor strength, insurance coverage and legal enforceability where repayment relies materially on credit enhancement.
10. Sector, geography or supply-chain stress
Commodity shocks, regulatory change, natural events, geopolitical disruption, concentrated buyer exposure or regional weakness can affect a borrower class before account-level arrears emerge.
Translate broad signals into portfolio-specific evidence. Avoid transferring an entire sector to Stage 2 solely because of headlines, but do not ignore a demonstrable increase in default risk simply because payments remain current.
11. Collections and behavioural deterioration
Broken promises to pay, reduced contactability, repeated bounce events, falling account inflows, minimum-only payments, unusual utilisation or deteriorating collection scores can be early signals in retail and SME books.
Definitions and data capture should be stable. Behavioural indicators need monitoring for false positives and unintended bias.
12. Management override and other expert credit judgement
No ruleset captures every fact. Credit officers may identify legal disputes, fraud concerns, succession problems, project delays or other risks that justify a stage change.
Overrides should be exceptional but accessible. Record the automated result, revised conclusion, evidence, impact, approver and review date. Track override patterns to identify missing systematic indicators.
A practical indicator hierarchy
| Layer | Examples | Governance response |
|---|---|---|
| Quantitative deterioration | Lifetime PD change, rating migration | Automated test with validated thresholds |
| Backstops | Days past due, default-related events | Rule-based outcome subject to documented rebuttal where permitted |
| Qualitative signals | Watchlist, restructuring, covenant pressure | Structured reason codes and evidence |
| Forward-looking signals | Sector or macro stress | Portfolio mapping and approved assessment |
| Expert judgement | Case-specific information | Controlled override and follow-up |
Five tests of a healthy SICR framework
- Does it identify meaningful deterioration before default?
- Are Stage 2 rates explainable by portfolio and vintage?
- Are direct Stage 1-to-Stage 3 movements investigated?
- Are cure and transfer-back rules evidence-based?
- Do overrides reveal systematic gaps that should become rules?
Frequently asked questions
Is 30 days past due the definition of SICR?
No. Under IFRS 9 it operates as a rebuttable presumption, not the complete SICR framework. Entities should use reasonable and supportable information available without undue cost or effort and should not wait for delinquency when earlier evidence exists.
Does restructuring always mean Stage 2?
The assessment depends on the nature and reason for the modification. Credit-driven concessions are strong deterioration evidence and may indicate Stage 2 or, in more severe circumstances, credit impairment. Commercial changes without borrower difficulty require separate analysis.
Can an exposure return from Stage 2 to Stage 1 immediately after payment?
A payment alone may not demonstrate that lifetime default risk has returned to a level that is no longer significantly increased. Cure rules should consider sustained performance and the original deterioration cause.
Make stage movement explainable
Explore the SICR and Stage Governance module or read the detailed SICR Framework and Stage Transfer Governance guide.
Technical references
- IFRS Foundation, IFRS 9 project summary
- IFRS Foundation, Application of IFRS 9 in conditions of uncertainty