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IFRS 9 / MFRS 9 contract economic modeling

Classification, measurement and expected credit loss, modelled as risk moves, not recalculated at close.

Impairment asks you to book a loss before it happens, then defend the assumption every quarter. Hamilton CEM classifies your instruments, builds the schedules, and recalculates expected credit loss as risk moves, so the number is explainable while the period is still open.

Financial instruments: the money you are owed and the money you owe.

The challenge

ECL is forward-looking, complex and always changing.

Manual processes, siloed data and batch calculations create inconsistency, delay and model risk.

Fragmented processes

Disconnected systems and spreadsheets lead to rework, inconsistencies and control gaps.

Forward-looking by nature

Macroeconomic shifts and customer behaviour change continuously, not just at reporting dates.

Transparency under pressure

Regulators and auditors expect clear, repeatable models and full audit traceability.

The IFRS 9 chain

One controlled path from instrument to disclosure.

A consistent, auditable process that connects data, judgement and calculations to reliable outcomes.

  1. 1

    Financial instruments

    Capture and maintain a complete instrument record.

  2. 2

    Data & validation

    Ensure data quality, completeness and consistency.

  3. 3

    Classification

    Determine business model and cash flow characteristics.

  4. 4

    Measurement

    Measure at amortised cost or fair value.

  5. 5

    Impairment (ECL)

    Estimate expected credit losses forward-looking.

  6. 6

    Stage assessment

    Assess significant increase in credit risk.

  7. 7

    Aggregation & reconciliation

    Aggregate results and reconcile across systems.

  8. 8

    Reporting & disclosures

    Produce IFRS 9 reports and disclosures.

Hamilton accounting automation workspace

What Hamilton CEM handles

Classification

Rules-driven classification across business models and cash flow tests.

Measurement

Amortised cost, fair value and EIR calculations that stay up to date.

Impairment (ECL)

Forward-looking ECL models with scenario analysis and macro overlays.

Risk layers

Stage assessment, overlays and expert judgement with traceability.

Lifecycle

Continuous monitoring of risk, exposures and model performance.

Expected vs actual

Expected credit loss vs actual credit loss

Hamilton CEM models expected credit loss as new data, risk signals and forecasts arrive. This reduces surprises, strengthens governance and supports timely decisions.

Hamilton predictive accounting report

Built for industries where financial instruments are material

Built for industries where financial complexity is high.

Banking
Financial services
Insurance
Investment
Leasing
Treasury-intensive corporates
Fintech

Make contract economics visible.

Talk to us about bringing predictive accounting to your contract lifecycle.

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