Taiwan Labour Costs

Taiwan · Monthly series · EC-TW-LC

Latest, September 2026

78.7 pts

-13.6% from August 2026

Open interactive chartTaiwan Labour Costs in the app

211.6136.160.61October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 82.7 pts, with an 80% interval of 64.6 pts to 103.0 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202676.2 pts70.0 pts83.9 pts
November 202680.4 pts76.6 pts85.2 pts
December 202681.8 pts68.4 pts99.1 pts
January 2027147.6 pts84.5 pts211.6 pts
February 2027121.9 pts66.7 pts191.5 pts
March 202772.8 pts60.6 pts85.8 pts
April 202778.1 pts69.1 pts88.6 pts
May 202783.5 pts69.1 pts100.5 pts
June 202779.2 pts63.7 pts98.4 pts
July 2027102.4 pts70.3 pts143.6 pts
August 202787.6 pts75.5 pts100.2 pts
September 202782.7 pts64.6 pts103.0 pts

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
+33%Beats the no-change baseline over 12 tests (12 tests, 12 won)
Direction
74%No clear edge over a coin flip (106 of 144 calls right in 12 tests)
Turning points
60 of 79Anticipated most turns (79 turns in 12 tests, 0 without a turn)
Error vs baseline
33% lowerError ratio 0.67; 1.00 is a tie.
Tests won
12 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
82%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 4% 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 202678.7 pts
August 202691.0 pts
July 2026113.1 pts
June 202675.2 pts
May 202685.0 pts
April 202676.2 pts
March 202670.3 pts
February 2026167.0 pts
January 2026103.6 pts
December 202582.2 pts
November 202592.9 pts
October 202586.5 pts
September 202588.0 pts
August 202599.4 pts
July 2025123.5 pts
June 202585.0 pts
May 202593.2 pts
April 202584.8 pts
March 202585.6 pts
February 2025112.8 pts
January 2025197.7 pts
December 202497.4 pts
November 2024100.7 pts
October 202490.9 pts

Source

Data: public market data feeds.

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