AgenticInvestor

Mongolia Gross Fixed Capital Formation

Mongolia · Quarterly series · EC-MN-GFCF

Latest, Q2 2026

2.84T MNT

+21.9% from Q1 2026

Open interactive chartMongolia Gross Fixed Capital Formation in the app

4.902T2.709T516.5BQ1 2015Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 2.85T MNT, with an 80% interval of 1.65T MNT to 4.03T MNT.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20263.16T MNT2.61T MNT3.72T MNT
Q4 20263.41T MNT1.80T MNT4.90T MNT
Q1 20272.42T MNT1.77T MNT3.16T MNT
Q2 20272.85T MNT1.65T MNT4.03T MNT

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

AI confidence

Limited evidence

At least 6 complete tests are required; 5 are available.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aToo few tests (5 tests, 6 needed) (5 tests, 5 won)
Direction
n/aToo few tests (5 tests, 6 needed) (16 of 20 calls right in 5 tests)
Turning points
n/aToo few tests (5 tests, 6 needed) (9 turns in 5 tests, 0 without a turn)
Error vs baseline
30% lowerError ratio 0.70; 1.00 is a tie.
Tests won
5 / 5Complete rolling backtests; ties count as no win.
Test period
2021-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
80%Observed outcomes inside the band across all stored test windows.
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 85% 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.
PeriodValue
Q2 20262.84T MNT
Q1 20262.33T MNT
Q4 20253.59T MNT
Q3 20253.44T MNT
Q2 20253.01T MNT
Q1 20252.79T MNT
Q4 20244.27T MNT
Q3 20243.05T MNT
Q2 20242.03T MNT
Q1 20242.17T MNT
Q4 20232.91T MNT
Q3 20232.63T MNT
Q2 20232.41T MNT
Q1 20231.82T MNT
Q4 20222.82T MNT
Q3 20222.42T MNT
Q2 20222.33T MNT
Q1 20221.56T MNT
Q4 20212.54T MNT
Q3 20212.09T MNT
Q2 20211.89T MNT
Q1 20211.53T MNT
Q4 20201.48T MNT
Q3 20202.33T MNT

Source

Data: public market data feeds.

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