Based on current macro regime conditions and sloos: banks increasing c&i spreads (large/mid)'s historical behaviour in similar regimes, the model projects -13.48% by 2026-12-31 ( +4.5% from -12.90% today). The 68% confidence range is 40.28% to -67.25%; the wider 95% range is 91.90% to -118.86%. Methodology below the headline.
SLOOS: Banks Increasing C&I Spreads (Large/Mid) Forecast 2026
Quantitative analysis from 99 observations of SLOOS: Banks Increasing C&I Spreads (Large/Mid) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 5 | 31.27% | 113.43% | 0.28 | 50.0% | -168.75% |
| 3Y | 12 | 45.43% | 140.82% | 0.32 | 36.4% | -118.89% |
| 5Y | 21 | 9.56% | 184.87% | 0.05 | 55.0% | 57.84% |
Forecast Approach
regime implied: The current macro regime classification (Goldilocks, Reflation, Stagflation, or Deflation) dictates the expected direction and magnitude of movement, calibrated against historical regime performance.
Key Drivers & Risks
- •Macro regime
- •Monetary policy
- •Risk appetite
Historical Volatility
Moderate
Frequently Asked Questions
What factors could push SLOOS: Banks Increasing C&I Spreads (Large/Mid) higher?▾
The primary drivers that tend to lift SLOOS: Banks Increasing C&I Spreads (Large/Mid) depend on the current macro regime. Net share of domestic banks reporting increased spreads of loan rates over cost of funds for large and mid-market commercial and industrial loans. Convex tracks these drivers live across the Bank Lending Standards category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push SLOOS: Banks Increasing C&I Spreads (Large/Mid) lower?▾
The same transmission channels that drive SLOOS: Banks Increasing C&I Spreads (Large/Mid) higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see SLOOS: Banks Increasing C&I Spreads (Large/Mid) heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
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Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.