Hungary GDP From Public Administration

Hungary · Quarterly series · EC-HU-GDPPA

Latest, Q2 2026

2.08T HUF

+0.4% from Q1 2026

Open interactive chartHungary GDP From Public Administration in the app

4.727T2.485T242.9BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 2.13T HUF, with an 80% interval of 242.89B HUF to 4.53T HUF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20262.08T HUF1.85T HUF2.40T HUF
Q4 20262.10T HUF1.66T HUF2.65T HUF
Q1 20272.12T HUF715.01B HUF4.73T HUF
Q2 20272.13T HUF242.89B HUF4.53T HUF

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Mixed evidence

The 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
50%No clear edge over a coin flip (16 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.
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.
PeriodValue
Q2 20262.08T HUF
Q1 20262.07T HUF
Q4 20252.06T HUF
Q3 20252.03T HUF
Q2 20252.02T HUF
Q1 20252.08T HUF
Q4 20242.08T HUF
Q3 20242.07T HUF
Q2 20242.05T HUF
Q1 20242.04T HUF
Q4 20231.33T HUF
Q3 20231.33T HUF
Q2 20231.32T HUF
Q1 20231.32T HUF
Q4 20221.31T HUF
Q3 20221.31T HUF
Q2 20221.30T HUF
Q1 20221.29T HUF
Q4 20211.26T HUF
Q3 20211.24T HUF
Q2 20211.23T HUF
Q1 20211.23T HUF
Q4 20201.24T HUF
Q3 20201.25T HUF

Source

Data: public market data feeds.

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