Paraguay GDP Deflator

Paraguay · Quarterly series · EC-PY-GDPD

Latest, Q2 2026

142.7 pts

+0.1% from Q1 2026

Open interactive chartParaguay GDP Deflator in the app

156.787.8919.05Q3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 145.1 pts, with an 80% interval of 134.2 pts to 155.4 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026144.1 pts141.4 pts146.9 pts
Q4 2026144.3 pts135.8 pts153.2 pts
Q1 2027144.1 pts131.7 pts156.7 pts
Q2 2027145.1 pts134.2 pts155.4 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
+19%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
88%Beats a coin flip (28 of 32 calls right in 8 tests)
Turning points
6 of 10Anticipated most turns (10 turns in 8 tests, 2 without a turn)
Error vs baseline
19% lowerError ratio 0.81; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
78%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 82% of the 39 earlier 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 2026142.7 pts
Q1 2026142.6 pts
Q4 2025146.9 pts
Q3 2025148.8 pts
Q2 2025147.2 pts
Q1 2025145.3 pts
Q4 2024144.0 pts
Q3 2024143.9 pts
Q2 2024143.2 pts
Q1 2024140.7 pts
Q4 2023139.5 pts
Q3 2023139.3 pts
Q2 2023138.7 pts
Q1 2023137.9 pts
Q4 2022138.2 pts
Q3 2022138.0 pts
Q2 2022135.8 pts
Q1 2022132.2 pts
Q4 2021130.6 pts
Q3 2021130.3 pts
Q2 2021123.1 pts
Q1 2021119.8 pts
Q4 2020120.0 pts
Q3 2020117.4 pts

Source

Data: public market data feeds.

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