Papua New Guinea Consumer Price Index

Papua New Guinea · Quarterly series · EC-PG-CPI

Latest, Q2 2026

184.1 pts

+0.7% from Q1 2026

Open interactive chartPapua New Guinea Consumer Price Index in the app

198.8144.890.8Q1 2010Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 188.8 pts, with an 80% interval of 178.0 pts to 198.8 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026185.3 pts182.7 pts187.9 pts
Q4 2026186.5 pts178.3 pts194.0 pts
Q1 2027187.6 pts179.7 pts195.1 pts
Q2 2027188.8 pts178.0 pts198.8 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
+18%Beats the no-change baseline over 8 tests (8 tests, 5 won)
Direction
84%No clear edge over a coin flip (27 of 32 calls right in 8 tests)
Turning points
n/aToo few tests (5 turns, 8 needed) (5 turns in 8 tests, 3 without a turn)
Error vs baseline
18% lowerError ratio 0.82; 1.00 is a tie.
Tests won
5 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
81%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 Q3 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
Q2 2026184.1 pts
Q1 2026182.8 pts
Q4 2025181.9 pts
Q3 2025178.1 pts
Q2 2025174.8 pts
Q1 2025178.8 pts
Q4 2024174.7 pts
Q3 2024170.2 pts
Q2 2024168.7 pts
Q1 2024169.8 pts
Q4 2023173.6 pts
Q3 2023171.6 pts
Q2 2023168.5 pts
Q1 2023165.6 pts
Q4 2022167.1 pts
Q3 2022167.9 pts
Q2 2022166.2 pts
Q1 2022162.9 pts
Q4 2021161.6 pts
Q3 2021158.0 pts
Q2 2021157.5 pts
Q1 2021153.8 pts
Q4 2020152.9 pts
Q3 2020151.5 pts

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Papua New Guinea