South Korea Producer Price Index

South Korea · Monthly series · EC-KR-PPI

Latest, September 2026

129.8 pts

+0.2% from August 2026

Open interactive chartSouth Korea Producer Price Index in the app

138.9117.395.69October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 131.5 pts, with an 80% interval of 124.8 pts to 138.6 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026130.1 pts129.0 pts131.3 pts
November 2026130.1 pts128.5 pts131.8 pts
December 2026130.2 pts128.2 pts132.2 pts
January 2027130.4 pts126.9 pts133.7 pts
February 2027130.6 pts127.6 pts134.0 pts
March 2027130.9 pts125.7 pts136.3 pts
April 2027130.9 pts123.2 pts138.9 pts
May 2027130.9 pts123.2 pts138.8 pts
June 2027131.0 pts123.7 pts138.4 pts
July 2027131.1 pts124.3 pts138.2 pts
August 2027131.4 pts124.7 pts138.6 pts
September 2027131.5 pts124.8 pts138.6 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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 12 tests (12 tests, 7 won)
Direction
72%No clear edge over a coin flip (102 of 142 calls right in 12 tests)
Turning points
6 of 39Anticipated some turns (39 turns in 12 tests, 0 without a turn)
Error vs baseline
11% lowerError ratio 0.89; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
85%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 98% 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 2026129.8 pts
August 2026129.6 pts
July 2026129.4 pts
June 2026129.9 pts
May 2026130.0 pts
April 2026128.8 pts
March 2026125.3 pts
February 2026123.3 pts
January 2026122.6 pts
December 2025121.8 pts
November 2025121.3 pts
October 2025120.9 pts
September 2025120.5 pts
August 2025120.1 pts
July 2025120.2 pts
June 2025119.8 pts
May 2025119.6 pts
April 2025120.1 pts
March 2025120.3 pts
February 2025120.3 pts
January 2025120.3 pts
December 2024119.5 pts
November 2024119.1 pts
October 2024119.0 pts

Source

Data: public market data feeds.

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