Mexico GDP From Construction
Mexico · Quarterly series · EC-MX-GDPC
Latest, Q2 2026
1.59T MXN
+11.2% from Q1 2026
Forecast
Forecast for Q2 2027: 1.57T MXN, with an 80% interval of 1.36T MXN to 1.74T MXN.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q3 2026 | 1.53T MXN | 1.40T MXN | 1.65T MXN |
| Q4 2026 | 1.60T MXN | 1.48T MXN | 1.70T MXN |
| Q1 2027 | 1.48T MXN | 1.43T MXN | 1.53T MXN |
| Q2 2027 | 1.57T MXN | 1.36T MXN | 1.74T MXN |
AI confidence
Supported evidenceThe point forecast beat the no-change baseline overall and in a majority of the evaluated tests.
Model: Agentic Investor TSFM (foundation model)
- Accuracy vs naive
- +19%Beats the no-change baseline over 8 tests (8 tests, 5 won)
- Direction
- 69%No clear edge over a coin flip (22 of 32 calls right in 8 tests)
- Turning points
- 11 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
- Error vs baseline
- 19% lowerError ratio 0.81; 1.00 is a tie.
- Tests won
- 5 / 8Complete rolling backtests; ties count as no win.
- Test period
- 2018-09-01 to 2026-06-014 observations ahead per test.
- 80% band coverage
- 78%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
It is above 90% of the 39 earlier readings since Q3 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q2 2026 | 1.59T MXN |
| Q1 2026 | 1.43T MXN |
| Q4 2025 | 1.59T MXN |
| Q3 2025 | 1.46T MXN |
| Q2 2025 | 1.52T MXN |
| Q1 2025 | 1.48T MXN |
| Q4 2024 | 1.58T MXN |
| Q3 2024 | 1.58T MXN |
| Q2 2024 | 1.64T MXN |
| Q1 2024 | 1.49T MXN |
| Q4 2023 | 1.62T MXN |
| Q3 2023 | 1.59T MXN |
| Q2 2023 | 1.50T MXN |
| Q1 2023 | 1.35T MXN |
| Q4 2022 | 1.34T MXN |
| Q3 2022 | 1.28T MXN |
| Q2 2022 | 1.32T MXN |
| Q1 2022 | 1.30T MXN |
| Q4 2021 | 1.31T MXN |
| Q3 2021 | 1.29T MXN |
| Q2 2021 | 1.27T MXN |
| Q1 2021 | 1.23T MXN |
| Q4 2020 | 1.27T MXN |
| Q3 2020 | 1.13T MXN |
Source
Data: public market data feeds.
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