Mauritius Remittances

Mauritius · Quarterly series · EC-MU-REM

Latest, Q1 2025

14.54M MUR

-9.8% from Q4 2024

Open interactive chartMauritius Remittances in the app

23.85M11.92M0Q1 2000Q1 2026
History through Q1 2025, the forecast path to Q1 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2026: 16.21M MUR, with an 80% interval of 12.56M MUR to 20.21M MUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 202515.82M MUR13.05M MUR18.95M MUR
Q3 202516.15M MUR12.88M MUR19.72M MUR
Q4 202516.26M MUR12.71M MUR20.14M MUR
Q1 202616.21M MUR12.56M MUR20.21M MUR

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

AI confidence

Limited evidence

At least 6 complete tests are required; 2 are available.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aToo few tests (2 tests, 6 needed) (2 tests, 1 won)
Direction
n/aToo few tests (2 tests, 6 needed) (6 of 8 calls right in 2 tests)
Turning points
n/aToo few tests (2 tests, 6 needed) (3 turns in 2 tests, 0 without a turn)
Error vs baseline
7% lowerError ratio 0.93; 1.00 is a tie.
Tests won
1 / 2Complete rolling backtests; ties count as no win.
Test period
2023-06-01 to 2025-03-014 observations ahead per test.
80% band coverage
100%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 12% of the 32 earlier readings since Q1 2017.

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 202514.54M MUR
Q4 202416.12M MUR
Q3 202417.49M MUR
Q2 202417.79M MUR
Q1 202416.96M MUR
Q4 202316.69M MUR
Q3 202316.41M MUR
Q2 202317.75M MUR
Q1 202316.17M MUR
Q4 202216.28M MUR
Q3 202217.83M MUR
Q2 202216.51M MUR
Q1 202213.12M MUR
Q4 202123.85M MUR
Q3 202118.39M MUR
Q2 202112.74M MUR
Q1 202115.42M MUR
Q4 202022.17M MUR
Q3 202021.19M MUR
Q2 202014.76M MUR
Q1 202019.84M MUR
Q4 201920.10M MUR
Q3 201918.34M MUR
Q2 201920.36M MUR

Source

Data: public market data feeds.

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