CREDITVINTAGE / SYNTHETIC EXAMPLESource & methodology ↗

Find the cohort.
Check the denominator.

Which origination vintages and customer segments need a closer look? Inspect mature 180-day outcomes, predicted probabilities and the same fixed review capacity in one reproducible analysis.

Evaluation cutoff: 2025-07-01. Event: 90+ days past due within 180 days; this is the research label used by the source report.

Mature test applications480107 observed research events
Observed event rate22.3%Events / all mature test applications
Mean calibrated probability18.8%Loan count weighted; not exposure weighted
Event capture in review group23.4%25 / 107 events; 48 applications reviewed

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Download every group as CSV
VintageSegmentLoansEventsEvent rateMean PDRate − PDPrevious vintage ΔReviewed / loansReview precisionEvent capturePrincipal
2024-07all801721.2%18.6%+2.7 pp—8 / 8025.0%11.8%$1,406,219.88
2024-08all801721.2%17.7%+3.5 pp+0.0 pp6 / 8050.0%17.6%$1,233,213.31
2024-09all801518.8%16.8%+1.9 pp-2.5 pp7 / 8071.4%33.3%$1,349,401.92
2024-10all802430.0%22.0%+8.0 pp+11.2 pp12 / 8050.0%25.0%$1,371,901.61
2024-11all801620.0%20.6%-0.6 pp-10.0 pp10 / 8060.0%37.5%$1,347,411.92
2024-12all801822.5%17.0%+5.5 pp+2.5 pp5 / 8060.0%16.7%$1,268,903.86

“Previous vintage Δ” compares the previous observed origination month in the same segment. A gap in months is not filled in. All outcomes use the same mature horizon. Blank denominators produce “—”, rather than a misleading 0%.

A fixed review queue

The source evaluation ranks calibrated probabilities, breaks ties by application ID and selects the preset capacity. Its historical review group has 52.1% precision. The 48-application queue contains scores and application details; future outcome labels are absent. This retrospective example does not establish the effect of an intervention.

Follow the calculations

Table schema · Cohort SQL · Queue SQL · Computed summary · Embedded source report · File digests

The SQL outputs are checked against separate Python counts and sums. The embedded source report makes the downloaded folder portable: creditvintage verify-analysis DIRECTORY reconstructs the analysis and this page from its verified source evidence.

Synthetic examples demonstrate data controls and calculation methods. Segment differences and month-to-month changes are descriptive; they do not establish causes, significance or real borrower risk. Loss figures in the CSV use principal × probability/event × the recorded LGD assumption, not realized recoveries or accounting provisions. Keep private borrower exports private.