New Caledonia Money Supply M2

New Caledonia · Quarterly series · EC-NC-M2

Latest, Q4 2021

581.24B XPF

+3.2% from Q3 2021

Open interactive chartNew Caledonia Money Supply M2 in the app

641.4B360.4B79.47BQ1 1995Q4 2022
History through Q4 2021, the forecast path to Q4 2022 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q4 2022: 603.88B XPF, with an 80% interval of 567.08B XPF to 641.37B XPF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q1 2022568.98B XPF559.48B XPF579.13B XPF
Q2 2022583.49B XPF549.31B XPF619.12B XPF
Q3 2022586.91B XPF554.77B XPF619.96B XPF
Q4 2022603.88B XPF567.08B XPF641.37B XPF

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
+11%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
75%No clear edge over a coin flip (24 of 32 calls right in 8 tests)
Turning points
8 of 10Anticipated most turns (10 turns in 8 tests, 0 without a turn)
Error vs baseline
11% lowerError ratio 0.89; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2014-03-01 to 2021-12-014 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 Q1 2012.

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
Q4 2021581.24B XPF
Q3 2021563.31B XPF
Q2 2021570.13B XPF
Q1 2021533.02B XPF
Q4 2020545.48B XPF
Q3 2020535.97B XPF
Q2 2020528.41B XPF
Q1 2020496.01B XPF
Q4 2019500.33B XPF
Q3 2019479.23B XPF
Q2 2019476.93B XPF
Q1 2019480.76B XPF
Q4 2018490.87B XPF
Q3 2018479.44B XPF
Q2 2018477.41B XPF
Q1 2018480.87B XPF
Q4 2017490.01B XPF
Q3 2017467.34B XPF
Q2 2017461.43B XPF
Q1 2017449.48B XPF
Q4 2016462.51B XPF
Q3 2016435.26B XPF
Q2 2016434.51B XPF
Q1 2016441.85B XPF

Source

Data: public market data feeds.

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