Liechtenstein Exports

Liechtenstein · Quarterly series · EC-LI-EXP

Latest, Q3 2026

791.00M CHF

+7.3% from Q2 2026

Open interactive chartLiechtenstein Exports in the app

947.9M622.6M297.3MQ4 1972Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 765.53M CHF, with an 80% interval of 615.91M CHF to 907.48M CHF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 2026791.11M CHF759.63M CHF819.68M CHF
Q1 2027775.77M CHF663.21M CHF880.43M CHF
Q2 2027774.49M CHF687.74M CHF858.16M CHF
Q3 2027765.53M CHF615.91M CHF907.48M CHF

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
+13%Beats the no-change baseline over 8 tests (8 tests, 5 won)
Direction
65%No clear edge over a coin flip (20 of 31 calls right in 8 tests)
Turning points
6 of 14Anticipated some turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
13% lowerError ratio 0.87; 1.00 is a tie.
Tests won
5 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 observations ahead per test.
80% band coverage
78%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 36% of the 39 earlier readings since Q4 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
Q3 2026791.00M CHF
Q2 2026737.00M CHF
Q1 2026701.00M CHF
Q4 2025737.00M CHF
Q3 2025696.00M CHF
Q2 2025739.00M CHF
Q1 2025757.00M CHF
Q4 2024745.00M CHF
Q3 2024745.00M CHF
Q2 2024811.00M CHF
Q1 2024786.00M CHF
Q4 2023800.00M CHF
Q3 2023744.00M CHF
Q2 2023788.00M CHF
Q1 2023847.00M CHF
Q4 2022824.00M CHF
Q3 2022792.00M CHF
Q2 2022814.00M CHF
Q1 2022802.00M CHF
Q4 2021814.00M CHF
Q3 2021850.00M CHF
Q2 2021915.00M CHF
Q1 2021914.00M CHF
Q4 2020795.00M CHF

Source

Data: public market data feeds.

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