AgenticInvestor

Mauritius Tourism Revenues

Mauritius · Monthly series · EC-MU-TR

Latest, September 2026

9.05B MUR

-5.6% from August 2026

Open interactive chartMauritius Tourism Revenues in the app

14.24B7.167B90MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 9.55B MUR, with an 80% interval of 6.91B MUR to 11.82B MUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202610.58B MUR9.32B MUR11.90B MUR
November 202611.68B MUR10.41B MUR13.03B MUR
December 202612.58B MUR10.87B MUR14.24B MUR
January 202711.76B MUR9.79B MUR13.78B MUR
February 20279.84B MUR8.16B MUR11.50B MUR
March 202710.23B MUR8.71B MUR11.63B MUR
April 202710.07B MUR7.54B MUR12.36B MUR
May 20279.69B MUR7.50B MUR11.75B MUR
June 20278.68B MUR7.28B MUR9.94B MUR
July 20279.57B MUR7.10B MUR11.72B MUR
August 20279.82B MUR7.64B MUR11.68B MUR
September 20279.55B MUR6.91B MUR11.82B 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
+34%Beats the no-change baseline over 9 tests (9 tests, 8 won)
Direction
84%Beats a coin flip (91 of 108 calls right in 9 tests)
Turning points
34 of 48Anticipated most turns (48 turns in 9 tests, 0 without a turn)
Error vs baseline
34% lowerError ratio 0.66; 1.00 is a tie.
Tests won
8 / 9Complete rolling backtests; ties count as no win.
Test period
2017-10-01 to 2026-09-0112 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

It is above 90% of the 119 earlier readings since October 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
September 20269.05B MUR
August 20269.59B MUR
July 20269.10B MUR
June 20267.77B MUR
May 20268.64B MUR
April 20269.29B MUR
March 20269.56B MUR
February 20269.34B MUR
January 202611.29B MUR
December 202512.13B MUR
November 202510.04B MUR
October 202510.13B MUR
September 20258.04B MUR
August 20257.77B MUR
July 20257.85B MUR
June 20256.96B MUR
May 20258.25B MUR
April 20258.61B MUR
March 20257.79B MUR
February 20257.24B MUR
January 20258.55B MUR
December 202410.32B MUR
November 20249.48B MUR
October 20248.39B MUR

Source

Data: public market data feeds.

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