Luxembourg Part Time Employment

Luxembourg · Quarterly series · EC-LU-PTE

Latest, Q2 2026

62,800.0 pts

+7.0% from Q1 2026

Open interactive chartLuxembourg Part Time Employment in the app

66.57K41.28K16KQ2 1998Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 61,557.7 pts, with an 80% interval of 58,096.8 pts to 65,213.1 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202660,714.5 pts58,369.7 pts63,186.4 pts
Q4 202660,784.3 pts57,663.5 pts64,210.4 pts
Q1 202761,241.1 pts56,178.0 pts66,565.4 pts
Q2 202761,557.7 pts58,096.8 pts65,213.1 pts

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, 6 won)
Direction
75%No clear edge over a coin flip (24 of 32 calls right in 8 tests)
Turning points
3 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
6 / 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.
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

That is the highest of the 40 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 202662,800.0 pts
Q1 202658,700.0 pts
Q4 202557,500.0 pts
Q3 202559,900.0 pts
Q2 202562,700.0 pts
Q1 202559,900.0 pts
Q4 202458,100.0 pts
Q3 202454,900.0 pts
Q2 202456,000.0 pts
Q1 202453,000.0 pts
Q4 202354,400.0 pts
Q3 202357,900.0 pts
Q2 202360,700.0 pts
Q1 202358,100.0 pts
Q4 202255,500.0 pts
Q3 202258,300.0 pts
Q2 202256,200.0 pts
Q1 202254,300.0 pts
Q4 202153,100.0 pts
Q3 202154,600.0 pts
Q2 202153,500.0 pts
Q1 202157,300.0 pts
Q4 202051,900.0 pts
Q3 202053,200.0 pts

Source

Data: public market data feeds.

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