Luxembourg Residential Property Prices

Luxembourg · Quarterly series · EC-LU-RPP

Latest, Q1 2026

1.7 pts

+1.8 pts from Q4 2025

Open interactive chartLuxembourg Residential Property Prices in the app

17.141.354-14.43Q1 2008Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 2.3 pts, with an 80% interval of -10.3 pts to 13.3 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 20261.6 pts-2.6 pts5.5 pts
Q3 20261.9 pts-6.0 pts9.0 pts
Q4 20262.1 pts-12.2 pts15.2 pts
Q1 20272.3 pts-10.3 pts13.3 pts

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

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
-3%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
62%No clear edge over a coin flip (20 of 32 calls right in 8 tests)
Turning points
4 of 10Anticipated some turns (10 turns in 8 tests, 0 without a turn)
Error vs baseline
3% higherError ratio 1.03; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-06-01 to 2026-03-014 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 28% of the 39 earlier readings since Q2 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
Q1 20261.7 pts
Q4 2025-0.1 pts
Q3 20251.0 pts
Q2 20254.6 pts
Q1 20251.0 pts
Q4 20241.4 pts
Q3 2024-1.9 pts
Q2 2024-8.2 pts
Q1 2024-11.2 pts
Q4 2023-14.4 pts
Q3 2023-13.9 pts
Q2 2023-5.9 pts
Q1 2023-1.6 pts
Q4 20225.5 pts
Q3 202211.0 pts
Q2 202211.6 pts
Q1 202210.2 pts
Q4 202112.1 pts
Q3 202113.4 pts
Q2 202113.5 pts
Q1 202117.1 pts
Q4 202016.7 pts
Q3 202013.8 pts
Q2 202013.2 pts

Source

Data: public market data feeds.

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