Expected Credit Loss Methodology Template (IFRS 9, CECL)

Expected Credit Loss Methodology: [Entity or portfolio]

Methodology document for measuring loss allowances on loans, debt securities, loan commitments and financial guarantees: scope and framework, governance, segmentation, definition of default, staging and significant increase in credit risk (SICR), the probability of default (PD) x loss given default (LGD) x exposure at default (EAD) x discount factor calculation, forward-looking macroeconomic scenarios and their weights, component models, individually assessed exposures, management overlays, a US current expected credit loss (CECL) variant, validation, disclosure and a worked example. Written for banks and lenders that report under IFRS 9 Financial Instruments section 5.5 or under US GAAP FASB ASC Topic 326; both are cited by name and paragraph or topic number only, and supervisory expectations come from EBA/GL/2017/06. Replace every [bracketed] value and every row marked Example. This is a document format, not accounting, financial, audit or regulatory advice. Requirements are referenced by number: obtain the standard for the normative text.

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Revision history

Contents

• 1. Purpose, scope and framework
• 2. Governance and roles
• 3. Portfolio segmentation
• 4. Definition of default and credit-impaired
• 5. Staging and significant increase in credit risk
• 6. Measurement
• 7. Forward-looking information and scenarios
• 8. Component models and parameters
• 9. Individually assessed exposures
• 10. Management overlays
• 11. US GAAP CECL variant
• 12. Validation, back-testing and monitoring
• 13. Reporting and disclosure
• 14. Glossary and references
• Standard and licence note

1. Purpose, scope and framework

State what the methodology covers, which accounting framework applies, and how this document relates to the bank's accounting policies, credit risk policies and regulatory reporting. Where the group has entities reporting under different frameworks, describe both and reconcile them.

2. Governance and roles

EBA/GL/2017/06 expects a credit risk management framework that supports the ECL estimate, with clear responsibilities, documented methodologies, independent validation and senior management oversight. Describe the process from data cut to booked allowance and the controls at each step.

3. Portfolio segmentation

Define segments by shared risk characteristics such as borrower type, product, collateral, industry, geography and rating method. For each segment, record the model set used and the share of the portfolio.

The total equals the stage table in section 6.4 (8,200 + 1,100 + 260 = 9,560).

Review the segmentation each year. A segment whose default experience diverges from its neighbours, or whose collateral or borrower mix has changed, may need to be split; a segment with too few defaults to estimate parameters reliably may need to be merged or supported by external data. Document every change, run the old and new segmentation in parallel for at least one quarter, and disclose the effect on the allowance if it is material.

4. Definition of default and credit-impaired

IFRS 9 does not define default; it requires an entity to use a definition consistent with its credit risk management and sets a rebuttable presumption at more than 90 days past due (paragraph B5.5.37). Most EU banks align the accounting definition with the prudential definition in CRR Art. 178 and EBA/GL/2016/07, so that stage 3 and default broadly coincide. Record your definition and every difference from the prudential one.

Interest revenue on stage 3 assets is calculated on the amortised cost net of the allowance (IFRS 9 paragraph 5.4.1). Make sure the engine switches basis when an exposure moves into or out of stage 3.

5. Staging and significant increase in credit risk

IFRS 9 paragraphs 5.5.3, 5.5.5 and 5.5.9 drive the stage split; paragraph 5.5.10 permits a low credit risk simplification and paragraph 5.5.11 sets a rebuttable 30-days-past-due presumption. Describe each criterion, its threshold and the evidence that calibrates it. EBA/GL/2017/06 discourages wide use of the low credit risk simplification by banks for loans.

5.1 Criteria

5.2 Transfers back

Example SICR test: a corporate loan had a remaining lifetime PD of 3.0% at origination for its remaining term; the current lifetime PD is 8.1%. The ratio is 8.1 / 3.0 = 2.7, above 2.5, and the absolute increase is 5.1 percentage points, above 0.50. The loan moves to stage 2.

Test the staging rules every year: how many exposures reach stage 2 before default (a good rule moves most defaults through stage 2 first), how long they stay there, and how often exposures move back and forth. Many direct moves from stage 1 to stage 3 suggest the SICR thresholds are too loose.

6. Measurement

6.1 Formula

For each exposure, scenario $s$ and future period $t$:

$T$ is one year for stage 1 (12-month ECL) and the remaining expected life for stages 2 and 3. The marginal PD is the probability, seen from the reporting date, of surviving to the start of period $t$ and defaulting during it; the conditional (hazard) PD is the probability of default in period $t$ given survival to its start.

6.2 Conventions

6.3 Worked example (single loan)

Example loan: EUR 1,000 thousand, EIR 4.0%, three years remaining, repaid in three equal annual instalments, so EAD is 1,000.00, 666.67 and 333.33 at the start of years 1, 2 and 3. The loan is in stage 2, so the lifetime ECL applies.

Check one line: base year 2 marginal PD is 2.50% x (1 less 2.00%) = 2.45%; ECL is 0.0245 x 0.40 x 666.67 x 1 / 1.04^2 = 6.04.

Probability-weighted lifetime ECL = 0.50 x 17.13 + 0.20 x 9.05 + 0.30 x 46.51 = 8.57 + 1.81 + 13.95 = 24.33, or 2.43% of the exposure. If the loan were in stage 1, only year 1 would count: 0.50 x 7.69 + 0.20 x 4.04 + 0.30 x 21.63 = 11.14. Note that the weighted result (24.33) is higher than the base-scenario result (17.13): losses rise faster in the downside than they fall in the upside, which is why a single central scenario understates ECL.

6.4 Portfolio result

The stage 3 share is 260 / 9,560 = 2.7% of customer loans at amortised cost. The gross NPL ratio of 2.1% reported in the Recovery Plan (finance/recovery-plan, RI-10) uses the wider EBA denominator, which also includes loans and advances to banks and balances at central banks; reconcile the two in the disclosure so that readers do not see two unexplained figures.

7. Forward-looking information and scenarios

Describe how scenarios are produced, how often, how many, what variables they contain, how far the explicit forecast runs and how the variables revert to long-run averages. Then explain how the weights are set and approved. Link each variable to the PD and LGD models through documented satellite models.

The Example weights sum to 100% (50% + 20% + 30%). Fernhollow sets the downside weight above the upside weight because the economics function assesses the distribution of outcomes as skewed to the downside; record the evidence for that view, such as the distribution of external forecasts. A change of weight between quarters needs a reason and the effect on the allowance.

8. Component models and parameters

8.1 PD

Describe the source model (rating or behavioural scorecard), the conversion from through-the-cycle to point-in-time PDs, how the term structure is built (for example migration matrices or survival curves) and how macroeconomic variables shift it in each scenario. Remove prudential floors and margins of conservatism required only for capital purposes.

Explain how the PD responds to the economy. A satellite model links the default rate of each segment to the scenario variables, estimated on a long enough history to include at least one downturn. Check the sign and size of each coefficient for economic sense, and document what happens beyond the explicit forecast horizon, where PDs revert to their long-run average.

8.2 LGD

Describe the LGD approach per segment: workout LGD from historical recoveries, or collateral-based LGD from collateral values, haircuts, time to recovery and costs, with cure rates for retail. Link collateral inputs to Collateral Valuation Review (finance/collateral-valuation-review) and to the house and commercial property price paths in each scenario. Discount recoveries at the EIR, not at a regulatory discount rate.

8.3 EAD

Describe the repayment profile for amortising loans, prepayment assumptions, and credit conversion factors for undrawn commitments. For revolving facilities such as credit cards and overdrafts, explain the behavioural life used under paragraph 5.5.20 and the evidence for it, for example the observed time from a credit deterioration signal to default or limit reduction.

8.4 Parameter register

9. Individually assessed exposures

Define the threshold for individual assessment and the method. For each exposure, estimate expected cash flows under at least two outcomes (for example successful restructuring and enforcement), weight them, and discount at the original EIR. Use the latest collateral valuation and document the assumptions in the workout plan.

10. Management overlays

Overlays, also called post-model adjustments, should be rare, targeted and temporary. EBA/GL/2017/06 expects them to be well documented and subject to governance. Record every overlay at each reporting date, with the reason the models do not capture the risk and the plan to bring the risk into the models.

The overlays are included in the 150.1 total. State their share of the allowance (6.8 of 150.1, or 4.5%) and track it over time.

11. US GAAP CECL variant

Under ASC Topic 326 (Subtopic 326-20 for financial assets at amortised cost), the allowance reflects expected credit losses over the contractual term, adjusted for expected prepayments, from initial recognition. The entity forecasts over a reasonable and supportable period and then reverts to historical loss information. Several methods are acceptable, including loss-rate, vintage, roll-rate, discounted cash flow and PD x LGD methods. ASU 2022-02 eliminated troubled debt restructuring accounting for creditors and added disclosures of modifications made to borrowers experiencing financial difficulty and of gross write-offs by vintage. The interagency policy statement attached to SR 20-12 (revised 2023-04-21) sets supervisory expectations. Check the codification for the current text and effective dates that apply to your entity.

Example: for the three-year loan in section 6.3, CECL would require a lifetime estimate from origination, whatever its credit quality. For this deteriorated loan that is about 24.33 thousand (discounted, or somewhat higher undiscounted), against 11.14 thousand under IFRS 9 if it were still in stage 1. For a loan with no deterioration, CECL would still record a lifetime amount, computed with its lower lifetime PDs.

12. Validation, back-testing and monitoring

Describe the validation scope (conceptual soundness, data, implementation, outcomes), frequency and independence, and the monitoring indicators with thresholds. Govern ECL models under Model Risk Management Policy (finance/model-risk-management-policy) and record results in Model Validation Report (ai-data/model-validation-report).

Report validation findings to the ECL committee with a rating and a remediation date, and decide whether an open finding needs a temporary overlay until it is fixed. Between validations, the model owners monitor the indicators above every quarter and explain any breach. A methodology that has not been tested against realised losses for several years should be treated as a key audit risk, whatever the size of the allowance.

13. Reporting and disclosure

Prepare the disclosures required by IFRS 7 paragraphs 35A to 35N (credit risk management, inputs and assumptions, reconciliations of the loss allowance, credit risk exposure by grade) and the supervisory reporting templates (for EU banks, FINREP). The reconciliation below is the core table.

Check: 132.4 + 8.2 less 6.1 plus 21.3 less 5.7 = 150.1. Show transfers between stages gross in your own table, and disclose the effect of overlays, scenario weights and a sensitivity of the allowance to the key judgements.

14. Glossary and references

14.1 Glossary

14.2 References

Standard and licence note

Structure aligned with the impairment requirements of IFRS 9 Financial Instruments and FASB ASC Topic 326, which are cited by name and paragraph or topic number only; no text from either standard is reproduced or paraphrased. IFRS is a trade mark of the IFRS Foundation, and this template is not affiliated with or endorsed by the IFRS Foundation or the FASB. Supervisory content is based on EBA/GL/2017/06 and EBA/GL/2016/07 (EBA material may be reproduced with acknowledgement; no text is reproduced here), Regulation (EU) No 575/2013 and the US interagency policy statement attached to Federal Reserve SR 20-12 (a US government work). The structure, wording, worked example and all figures are original; Fernhollow Bank and Quillmoor Logistics GmbH are fictional. Check the current official versions of every cited text before use. Template licence: MIT.