Italy GDP From Construction
Italy · Quarterly series · EC-IT-GDPC
Latest, Q2 2026
26.47B EUR
+1.5% from Q1 2026
Forecast
Forecast for Q2 2027: 26.84B EUR, with an 80% interval of 22.61B EUR to 31.07B EUR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q3 2026 | 26.55B EUR | 25.48B EUR | 27.65B EUR |
| Q4 2026 | 26.66B EUR | 24.79B EUR | 28.64B EUR |
| Q1 2027 | 26.74B EUR | 23.86B EUR | 29.73B EUR |
| Q2 2027 | 26.84B EUR | 22.61B EUR | 31.07B EUR |
AI confidence
Mixed evidenceThe tests show no consistent, material advantage over the no-change baseline.
Model: Agentic Investor TSFM (foundation model)
- Accuracy vs naive
- -2%Matches the no-change baseline over 8 tests (8 tests, 4 won)
- Direction
- 62%No clear edge over a coin flip (20 of 32 calls right in 8 tests)
- Turning points
- n/aToo few tests (7 turns, 8 needed) (7 turns in 8 tests, 3 without a turn)
- Error vs baseline
- 2% higherError ratio 1.02; 1.00 is a tie.
- Tests won
- 4 / 8Complete rolling backtests; ties count as no win.
- Test period
- 2018-09-01 to 2026-06-014 observations ahead per test.
- 80% band coverage
- 84%Observed outcomes inside the band across all stored test windows.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-14 against the cached history through 2026-06-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
How this assessment is made
AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.
Model comparison
Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.
Reading
That is the highest of the 40 readings since Q3 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q2 2026 | 26.47B EUR |
| Q1 2026 | 26.08B EUR |
| Q4 2025 | 26.06B EUR |
| Q3 2025 | 25.66B EUR |
| Q2 2025 | 26.09B EUR |
| Q1 2025 | 25.86B EUR |
| Q4 2024 | 25.49B EUR |
| Q3 2024 | 25.17B EUR |
| Q2 2024 | 25.26B EUR |
| Q1 2024 | 24.05B EUR |
| Q4 2023 | 23.38B EUR |
| Q3 2023 | 22.28B EUR |
| Q2 2023 | 21.87B EUR |
| Q1 2023 | 22.07B EUR |
| Q4 2022 | 21.69B EUR |
| Q3 2022 | 21.29B EUR |
| Q2 2022 | 21.67B EUR |
| Q1 2022 | 21.18B EUR |
| Q4 2021 | 20.46B EUR |
| Q3 2021 | 19.70B EUR |
| Q2 2021 | 18.90B EUR |
| Q1 2021 | 18.00B EUR |
| Q4 2020 | 17.49B EUR |
| Q3 2020 | 17.97B EUR |
Source
Data: public market data feeds.
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