Methodology
FINASENSE research is built on publicly available NCUA 5300 Call Report data — the same quarterly financial filings that every federally insured credit union submits to the National Credit Union Administration. The analytical frameworks, proprietary metrics, and editorial methodology that transform this data into research are described below.
Data Source
NCUA 5300 Call Report
Quarterly
All federally insured credit unions
Q4 2009 – present
Proprietary Metrics
Credit Cycle Position Indicator™ (CCPI™)
Classifies the industry's position in the credit cycle based on velocity and acceleration of credit-sensitive metrics.
Components:
| Component | Weight | What it measures |
|---|---|---|
| Delinquency (60+ days) | 30% | Borrower distress — the leading indicator |
| Net charge-offs | 25% | Realized credit losses |
| Provision expense | 20% | Management's forward-looking loss estimate |
| Loan growth | 25% | Lending momentum (inverted: declining growth = worsening) |
How it works: For each metric, the CCPI computes the quarter-over-quarter velocity (first derivative) and acceleration (second derivative), z-scores both against the metric's own expanding history, and blends them (70% velocity / 30% acceleration) into a component score on a [-1, +1] scale. The composite CCPI is the weighted average of the four components.
Phase thresholds:
| Phase | CCPI Range | Signal |
|---|---|---|
| Expansion | Below -0.25 | Credit quality improving at an above-average pace |
| Late Cycle | -0.25 to 0.09 | Mixed signals; cycle may be turning |
| Contraction | 0.10 to 0.49 | Credit quality deteriorating at an above-average pace |
| Stress | 0.50 and above | Acute deterioration across multiple components |
The CCPI measures direction and momentum, not absolute level. A system with high delinquency but stable (non-rising) rates would score near zero — it's the change that matters.
Credit Union Financial Stress Index™ (CUFSI™)
A composite 0–100 index measuring system-wide financial stress across six pillars aligned with the CAMELS examination framework.
Pillars:
| Pillar | Weight | Variables |
|---|---|---|
| Credit Quality | 30% | Delinquency ratio, delinquency severity, NCO ratio, non-accrual ratio |
| Capital Adequacy | 20% | Net worth ratio, allowance coverage, allowance-to-loans |
| Earnings Coverage | 15% | ROAA, NIM, provision ratio, operating expense ratio |
| Liquidity | 15% | Borrowing reliance, loans-to-shares, cash buffer |
| Concentration Risk | 10% | Commercial concentration, indirect concentration, participation concentration |
| Growth Stress | 10% | Loan growth, growth-capital divergence |
How it works: Each of the 19 input variables is z-scored against its expanding history, oriented so that positive = more stress, averaged within its pillar, then combined into a weighted composite. The composite z-score is mapped to 0–100 via hyperbolic tangent:
Severity bands:
| Score | Severity | Interpretation |
|---|---|---|
| 0–30 | Low Stress | Unusually benign conditions |
| 30–45 | Below Average | Mildly favorable |
| 45–55 | Normal | Consistent with historical norms |
| 55–70 | Elevated | Multiple indicators above norms |
| 70–100 | High Stress | Acute system-wide strain |
A score of 50 represents the historical average. The CUFSI answers "how stressed is the system right now?" while the CCPI answers "which direction is the cycle moving?"
Analytical Framework
CAMELS Alignment
All FINASENSE analysis is organized under the CAMELS framework — Capital adequacy, Asset quality, Management, Earnings, Liquidity, and Sensitivity to market risk — the same structure used by NCUA examiners.
Annualization
Income-statement items are year-to-date cumulative. FINASENSE annualizes using the standard factor: Q1 × 4, Q2 × 2, Q3 × 4/3, Q4 × 1. All annualized figures are labeled. Q1 figures amplify single-quarter noise.
Cohort Segmentation
System-wide aggregates can mask meaningful variation by institution size. FINASENSE breaks out key metrics by five asset-size cohorts:
Signal Language
FINASENSE uses three explicit signal labels for trend assessments:
Metric performing well; trend is positive or stable at healthy levels
Trend deviating from norms; may deteriorate if uncorrected
Active deterioration; metric at or beyond stress thresholds
These are analytical assessments, not investment recommendations. FINASENSE does not provide investment, legal, or regulatory advice.
Independence
FINASENSE is not affiliated with the National Credit Union Administration or any credit union, league, trade association, or financial institution. All analysis, interpretations, and signal assessments represent the independent views of FINASENSE. NCUA data is used as reported and subject to the agency's standard accuracy disclaimers.