Default

Default is a borrower's failure to meet the obligations of a loan agreement. In credit risk practice it is not a vague description of distress but a defined state — the point at which a lender formally treats an exposure as having failed, triggering specific accounting, contractual and operational consequences.

The definition matters more than the word. Default is the event that probability-of-default models predict, that expected credit loss calculations are built on, that credit scorecards are trained against, and that contractual remedies depend on. An institution that has not defined default precisely, and applied that definition consistently, cannot measure credit risk coherently.

Default vs Delinquency vs Non-Performing vs Write-Off

These four terms describe successive states and are routinely used interchangeably, which they should not be.

• Delinquency: Any missed or late payment, from one day onward. A continuum, not a threshold.
• Default: Crossing the institution's defined threshold — conventionally 90 days past due, or an unlikeliness-to-pay judgement. A defined state.
• Non-performing: The supervisory or accounting classification applied to a defaulted exposure. Largely overlapping with default, but set by the regulator or reporting framework rather than by the lender.
• Write-off: Derecognition of the loan once there is no reasonable expectation of recovery. An accounting action taken after default, not a synonym for it.

A loan may be delinquent without being in default, in default without being written off, and — under the unlikeliness-to-pay test — in default without being delinquent at all.

How Default Is Defined

The quantitative test

The conventional trigger is 90 days past due on any material payment of principal or interest. Under IFRS 9 this is a rebuttable presumption: default is presumed to occur no later than 90 days past due, and an institution may adopt an earlier or later threshold only with reasonable and supportable evidence, applied consistently.

Materiality thresholds. Most frameworks require a payment to be material before the days-past-due clock starts, using an absolute amount, a relative amount (a percentage of the exposure), or both. Without this, a trivial rounding shortfall on a fee can technically place an otherwise healthy loan into default.

The qualitative test — unlikeliness to pay

A borrower is in default where full repayment is unlikely without recourse to collateral realisation, regardless of arrears. Common triggers:

• Insolvency, bankruptcy or liquidation
• Business closure or cessation of trading
• Distressed restructuring — a concession granted for credit reasons that would not otherwise have been given
• The exposure sold at a material credit-related loss
• Absconding, death without an estate, or loss of the income source the loan was underwritten against
• Servicing existing debt from new borrowing rather than from operations

Consistency requirement

Under IFRS 9, the default definition used for staging must be consistent with the definition used for internal credit risk management purposes. In practice institutions frequently carry several implicit definitions — one in the collections system, one in the credit model, one in regulatory reporting — and reconciling them is a standard audit finding.

Types of Default

Payment (monetary) default. Failure to pay principal, interest or fees when due. The dominant type in retail and micro lending.

Technical (non-monetary) default. Breach of a non-payment obligation — a financial covenant, an information undertaking, an insurance requirement, unauthorised disposal of collateral, or use of funds contrary to the loan purpose. Common in SME and commercial lending; the borrower may be paying perfectly.

Cross-default. A clause under which default on one obligation constitutes default on another, so that a borrower failing with one lender is automatically in default with another. Common in commercial facilities.

Anticipatory default. A borrower states or demonstrates that they will not perform a future obligation, allowing the lender to act before the payment date arrives.

Strategic default. The borrower has capacity but chooses not to pay — typically because the value of continuing exceeds the cost of walking away. Distinguishing this from distressed default is the central diagnostic question in collections, because the correct response is opposite in each case: enforcement for one, restructuring for the other.

Calculating Default Rates

There is no single default rate. The three choices below each change the answer materially, and all three must be stated.

Choice 1: cohort or period?

Cohort (vintage) default rate — take all loans originated in a defined period and measure how many defaulted within a set observation window.

Cohort default rate = Loans in the cohort that defaulted within n months / Loans originated in the cohort × 100

This is the method that supports underwriting decisions, because it attributes defaults to the lending decision that produced them.

Period default rate — defaults occurring in a period over the portfolio at the start of it. Simpler, but distorted by portfolio growth in exactly the way described below.

Choice 2: count or value?

Count-based treats every loan equally. Value-based weights by exposure. They diverge whenever default correlates with loan size, which it usually does.

Choice 3: marginal or cumulative?

Marginal default rate is the rate in a given period; cumulative is the total proportion defaulting by a point in the loan's life. Cumulative curves are the more useful view for pricing.

Worked example

A cohort of loans originated in a single month, observed over twelve months:

• Number of loans: 1,000 cohort total · 87 defaulted · 8.7% (count-based)
• Value disbursed: 5,000,000 cohort total · 520,000 defaulted · 10.4% (value-based)

The value-based rate is higher, indicating that larger loans in this cohort defaulted at a greater rate than smaller ones — a finding invisible in the count-based figure alone, and directly relevant to whether the progressive lending ladder is stepping up too fast.

The growth dilution trap

A period default rate falls automatically when a portfolio grows quickly, because recently originated loans have not had time to season into default. The ratio is most reassuring precisely when growth is outrunning underwriting quality. Cohort analysis is the standard correction, and the only reliable one.

Early Default Indicators

First-payment default (FPD). The borrower misses the very first scheduled instalment. This is almost never a capacity shock — it is an underwriting or fraud signal, and it is one of the fastest available reads on origination quality. FPD should be tracked separately and reported to the credit function, not buried in blended collections numbers.

Early default (EPD). Default within the first two or three instalments. Same interpretation, slightly weaker signal.

Both are leading indicators: they surface within weeks of a policy change, where cohort default rates take months and portfolio-level metrics take longer still.

Probability of Default (PD)

Probability of default is the estimated likelihood that a borrower defaults within a given horizon — twelve months, or the remaining lifetime of the exposure.

PD is one of the three parameters in the expected credit loss calculation:

ECL = PD × LGD × EAD, discounted

Under IFRS 9, stage 1 exposures use a 12-month PD and stage 2 and 3 exposures use a lifetime PD. PD estimates are built from observed historical default rates by segment, then adjusted for forward-looking macroeconomic conditions.

Two practical points:

• The PD is only as good as the default definition behind it. If the historical data was assembled under one definition and the model is applied under another, the estimate is invalid.
• Segmentation drives accuracy. In micro and small-loan portfolios, loan cycle number, product, methodology, sector and branch are typically stronger discriminators than any single borrower attribute — first-cycle borrowers default at materially higher rates than repeat borrowers.

Consequences of Default

For the lender:

• Interest recognition changes — typically non-accrual, or under IFRS 9 stage 3, interest on the net carrying amount
• Lifetime expected credit loss applies, sharply increasing the provision
• Classification as non-performing, with prescribed regulatory provisioning
• Contractual remedies become available: acceleration of the full balance, default interest where lawful, collateral enforcement, guarantor claims
• The exposure moves to collections, workout or recovery

For the borrower:

• Adverse credit bureau reporting, restricting future access to credit
• Acceleration of the outstanding balance
• Penalty charges, subject to applicable caps
• Enforcement against pledged collateral
• Legal action and potential judgment
• In group lending, consequences extend to fellow members through joint liability or blocked progression

The borrower-side consequences are the reason default definitions and their application carry consumer protection weight, not merely accounting weight.

Cure and Re-Default

A defaulted exposure returns to performing status only after a probation period of consistent, on-schedule payments — not on receipt of a single catch-up payment. Probation exists specifically to stop a one-off payment resetting the status of a fundamentally impaired loan.

Re-default rate — the proportion of cured or restructured exposures that default again — is one of the most informative and least tracked metrics in credit risk. A high re-default rate on restructured loans indicates that restructuring is being used to postpone recognition rather than to resolve genuine capacity problems.

Re-ageing caution. Rescheduling resets the days-past-due counter. Where default is defined purely on days past due, restructuring can move an exposure out of default with no improvement in the borrower's position. This is why distressed restructuring is itself an unlikeliness-to-pay trigger in most well-designed frameworks.

Common Pitfalls

• Multiple inconsistent definitions across collections, credit modelling, accounting and regulatory reporting within the same institution.
• Not stating count versus value when quoting a default rate.
• Period rates during growth — dilution makes them look better than they are.
• No materiality threshold, so immaterial shortfalls trigger technical defaults.
• Partial payments resetting the clock — where a small payment re-ages the account without addressing the arrears, the metric improves while the exposure does not.
• Ignoring the qualitative test, treating default as a purely mechanical days-past-due calculation and missing exposures that are plainly unlikely to be repaid.
• Failing to define the observation window in cohort analysis — a 6-month and a 24-month default rate on the same cohort are entirely different numbers.