Taiwan Fiscal Expenditure

Taiwan · Annual series · EC-TW-FE

Latest, 2025

4.15T TWD

+1.9% from 2024

Open interactive chartTaiwan Fiscal Expenditure in the app

5.554T2.821T87.04B19742028
History through 2025, the forecast path to 2028 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2028: 4.31T TWD, with an 80% interval of 3.60T TWD to 5.08T TWD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
20264.19T TWD3.92T TWD4.36T TWD
20274.25T TWD2.84T TWD5.55T TWD
20284.31T TWD3.60T TWD5.08T TWD

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
+12%Beats the no-change baseline over 10 tests (10 tests, 7 won)
Direction
80%No clear edge over a coin flip (24 of 30 calls right in 10 tests)
Turning points
1 of 9Anticipated some turns (9 turns in 10 tests, 3 without a turn)
Error vs baseline
12% lowerError ratio 0.88; 1.00 is a tie.
Tests won
7 / 10Complete rolling backtests; ties count as no win.
Test period
1996-12-01 to 2025-12-013 observations ahead per test.
80% band coverage
80%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 10 readings since 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
20254.15T TWD
20244.07T TWD
20234.03T TWD
20223.44T TWD
20213.33T TWD
20203.24T TWD
20192.91T TWD
20182.85T TWD
20172.78T TWD
20162.75T TWD
20152.79T TWD
20142.65T TWD
20132.67T TWD
20122.68T TWD
20112.61T TWD
20102.57T TWD
20092.67T TWD
20082.34T TWD
20072.29T TWD
20062.21T TWD
20052.29T TWD
20042.25T TWD
20032.22T TWD
20022.14T TWD

Source

Data: public market data feeds.

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