Peru Gross Fixed Capital Formation

Name: Peru Gross Fixed Capital Formation
Creator: Agentic Investor

Peru · Quarterly series · EC-PE-GFCF

Latest, Q2 2026

41.89B PEN

+11.7% from Q1 2026

Open interactive chartPeru Gross Fixed Capital Formation in the app

History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 40.17B PEN, with an 80% interval of 33.86B PEN to 46.55B PEN.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
Q3 2026	43.30B PEN	40.09B PEN	46.54B PEN
Q4 2026	46.55B PEN	42.93B PEN	50.69B PEN
Q1 2027	37.69B PEN	33.01B PEN	42.68B PEN
Q2 2027	40.17B PEN	33.86B PEN	46.55B PEN

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Supported evidence

The 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: +21%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction: 78%No clear edge over a coin flip (25 of 32 calls right in 8 tests)
Turning points: 14 of 15Anticipated most turns (15 turns in 8 tests, 0 without a turn)

Error vs baseline: 21% lowerError ratio 0.79; 1.00 is a tie.
Tests won: 7 / 8Complete rolling backtests; ties count as no win.
Test period: 2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage: 81%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 2026-11-15 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.

Replay past tests

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 95% of the 39 earlier readings since Q3 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)

The 24 most recent observations, newest first.
Period	Value
Q2 2026	41.89B PEN
Q1 2026	37.51B PEN
Q4 2025	45.73B PEN
Q3 2025	41.15B PEN
Q2 2025	36.87B PEN
Q1 2025	33.82B PEN
Q4 2024	41.99B PEN
Q3 2024	36.66B PEN
Q2 2024	33.41B PEN
Q1 2024	30.35B PEN
Q4 2023	39.13B PEN
Q3 2023	34.36B PEN
Q2 2023	32.44B PEN
Q1 2023	28.87B PEN
Q4 2022	39.24B PEN
Q3 2022	36.46B PEN
Q2 2022	34.67B PEN
Q1 2022	32.40B PEN
Q4 2021	38.25B PEN
Q3 2021	35.93B PEN
Q2 2021	34.26B PEN
Q1 2021	32.47B PEN
Q4 2020	38.68B PEN
Q3 2020	28.40B PEN

Source

Data: public market data feeds.