Based on current macro regime conditions and italy credit-to-gdp gap's historical behaviour in similar regimes, the model projects -15.28 by 2025-12-31 ( -0.8% from -15.4 today). The 68% confidence range is -8.1 to -22.46; the wider 95% range is -1.2 to -29.36. Methodology below the headline.
Italy Credit-to-GDP Gap Forecast 2026
Quantitative analysis from 97 observations of Italy Credit-to-GDP Gap 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 | 20.63% | 5.56% | 3.71 | 100.0% | 20.62% |
| 3Y | 12 | -0.48% | 13.54% | -0.04 | 54.5% | -1.32% |
| 5Y | 21 | 1.96% | 58.52% | 0.03 | 35.0% | -190.57% |
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 Italy Credit-to-GDP Gap higher?▾
The primary drivers that tend to lift Italy Credit-to-GDP Gap depend on the current macro regime. BIS credit-to-GDP gap for Italy; deeply negative since the Eurozone crisis, reflecting the sustained deleveraging of the Italian banking and household sectors. Convex tracks these drivers live across the Global Credit Gap 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 Italy Credit-to-GDP Gap lower?▾
The same transmission channels that drive Italy Credit-to-GDP Gap 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 Italy Credit-to-GDP Gap 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.
Get forecast updates for Italy Credit-to-GDP Gap and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.