AgenticInvestor

Switzerland Youth Unemployment Rate

Switzerland · Monthly series · EC-CH-YUR

Latest, October 2026

3.2%

-0.10pp from September 2026

Open interactive chartSwitzerland Youth Unemployment Rate in the app

4.53.11.7November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 3.1%, with an 80% interval of 2.7% to 3.5%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20263.2%3.1%3.2%
December 20263.2%3.1%3.2%
January 20273.2%3.0%3.4%
February 20273.1%3.0%3.3%
March 20272.9%2.8%3.0%
April 20272.7%2.6%2.8%
May 20272.7%2.4%2.9%
June 20272.6%2.4%2.9%
July 20272.8%2.5%3.1%
August 20273.3%3.0%3.5%
September 20273.2%2.9%3.6%
October 20273.1%2.7%3.5%

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
+38%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
88%Beats a coin flip (107 of 121 calls right in 12 tests)
Turning points
32 of 37Anticipated most turns (37 turns in 12 tests, 0 without a turn)
Error vs baseline
38% lowerError ratio 0.62; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 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 76% of the 119 earlier readings since November 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
October 20263.2%
September 20263.3%
August 20263.4%
July 20262.8%
June 20262.7%
May 20262.7%
April 20262.7%
March 20262.9%
February 20263.1%
January 20263.2%
December 20253.1%
November 20253.1%
October 20253.1%
September 20253.2%
August 20253.2%
July 20252.7%
June 20252.5%
May 20252.5%
April 20252.5%
March 20252.6%
February 20252.7%
January 20252.8%
December 20242.7%
November 20242.6%

Source

Data: public market data feeds.

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