Maldives Business Confidence Index

Maldives · Quarterly series · EC-MV-BCOI

Latest, Q1 2026

59.0%

-33.00pp from Q4 2025

Open interactive chartMaldives Business Confidence Index in the app

1000-100Q2 2014Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 70.3%, with an 80% interval of 48.4% to 87.1%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 2026-74.6%-93.0%-55.8%
Q3 2026-31.0%-55.6%-3.9%
Q4 202687.5%74.3%97.8%
Q1 202770.3%48.4%87.1%

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
+68%Beats the no-change baseline over 6 tests (6 tests, 6 won)
Direction
88%No clear edge over a coin flip (21 of 24 calls right in 6 tests)
Turning points
10 of 10Anticipated most turns (10 turns in 6 tests, 0 without a turn)
Error vs baseline
68% lowerError ratio 0.32; 1.00 is a tie.
Tests won
6 / 6Complete rolling backtests; ties count as no win.
Test period
2020-06-01 to 2026-03-014 observations ahead per test.
80% band coverage
83%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 59% of the 39 earlier readings since Q2 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
Q1 202659.0%
Q4 202592.0%
Q3 2025-24.0%
Q2 2025-69.0%
Q1 202580.0%
Q4 202487.0%
Q3 2024-49.0%
Q2 2024-70.0%
Q1 202462.0%
Q4 202374.0%
Q3 2023-39.0%
Q2 2023-66.0%
Q1 202394.0%
Q4 202294.0%
Q3 2022-57.0%
Q2 2022-89.0%
Q1 202289.0%
Q4 202194.0%
Q3 202125.0%
Q2 2021-97.0%
Q1 2021100.0%
Q4 202058.0%
Q3 2020-22.0%
Q2 2020-100.0%

Source

Data: public market data feeds.

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