Mauritius GDP From Public Administration

Mauritius · Quarterly series · EC-MU-GDPPA

Latest, Q2 2026

13.29B MUR

+4.3% from Q1 2026

Open interactive chartMauritius GDP From Public Administration in the app

22.78B12.74B2.688BQ1 2006Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 13.01B MUR, with an 80% interval of 9.82B MUR to 17.17B MUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202611.79B MUR10.56B MUR13.19B MUR
Q4 202612.22B MUR10.86B MUR13.80B MUR
Q1 202713.14B MUR5.54B MUR22.78B MUR
Q2 202713.01B MUR9.82B MUR17.17B MUR

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
+27%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
81%No clear edge over a coin flip (26 of 32 calls right in 8 tests)
Turning points
11 of 12Anticipated most turns (12 turns in 8 tests, 0 without a turn)
Error vs baseline
27% lowerError ratio 0.73; 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
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

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 202613.29B MUR
Q1 202612.74B MUR
Q4 202510.21B MUR
Q3 20259.62B MUR
Q2 20259.18B MUR
Q1 202511.15B MUR
Q4 202410.38B MUR
Q3 20249.46B MUR
Q2 20249.95B MUR
Q1 20249.27B MUR
Q4 20238.55B MUR
Q3 20238.58B MUR
Q2 20238.99B MUR
Q1 20238.82B MUR
Q4 20228.60B MUR
Q3 20228.44B MUR
Q2 20228.72B MUR
Q1 20228.36B MUR
Q4 20217.87B MUR
Q3 20217.71B MUR
Q2 20218.09B MUR
Q1 20217.61B MUR
Q4 20207.40B MUR
Q3 20207.27B MUR

Source

Data: public market data feeds.

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