Switzerland Tourism Revenues

Switzerland · Quarterly series · EC-CH-TR

Latest, Q2 2026

4.99B CHF

+6.8% from Q1 2026

Open interactive chartSwitzerland Tourism Revenues in the app

6.027B3.713B1.399BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 5.16B CHF, with an 80% interval of 4.99B CHF to 5.33B CHF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20265.82B CHF5.61B CHF6.03B CHF
Q4 20264.67B CHF4.46B CHF4.90B CHF
Q1 20274.81B CHF4.66B CHF4.97B CHF
Q2 20275.16B CHF4.99B CHF5.33B 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
+46%Beats the no-change baseline over 8 tests (8 tests, 8 won)
Direction
91%Beats a coin flip (29 of 32 calls right in 8 tests)
Turning points
15 of 15Anticipated most turns (15 turns in 8 tests, 0 without a turn)
Error vs baseline
46% lowerError ratio 0.54; 1.00 is a tie.
Tests won
8 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
91%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 85% 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 20264.99B CHF
Q1 20264.68B CHF
Q4 20254.41B CHF
Q3 20255.82B CHF
Q2 20254.88B CHF
Q1 20254.47B CHF
Q4 20244.44B CHF
Q3 20245.66B CHF
Q2 20244.82B CHF
Q1 20244.44B CHF
Q4 20234.33B CHF
Q3 20235.57B CHF
Q2 20234.71B CHF
Q1 20234.34B CHF
Q4 20224.08B CHF
Q3 20225.13B CHF
Q2 20223.97B CHF
Q1 20223.40B CHF
Q4 20213.26B CHF
Q3 20213.78B CHF
Q2 20212.32B CHF
Q1 20211.80B CHF
Q4 20201.86B CHF
Q3 20202.61B CHF

Source

Data: public market data feeds.

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