Puerto Rico GDP YoY

Name: Puerto Rico GDP YoY
Creator: Agentic Investor

Puerto Rico · Annual series · EC-PR-GDPYY

Latest, 2025

0.4%

-1.20pp from 2024

Open interactive chartPuerto Rico GDP YoY in the app

History through 2025, the forecast path to 2028 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2028: 0.8%, with an 80% interval of -3.6% to 5.0%.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
2026	0.8%	-3.4%	4.9%
2027	0.7%	-2.8%	4.1%
2028	0.8%	-3.6%	5.0%

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive: -3%Matches the no-change baseline over 12 tests (12 tests, 4 won)
Direction: 57%No clear edge over a coin flip (20 of 35 calls right in 12 tests)
Turning points: 4 of 13Anticipated some turns (13 turns in 12 tests, 1 without a turn)

Error vs baseline: 3% higherError ratio 1.03; 1.00 is a tie.
Tests won: 4 / 12Complete rolling backtests; ties count as no win.
Test period: 1990-12-01 to 2025-12-013 observations ahead per test.
80% band coverage: 81%Observed outcomes inside the band across all stored test windows.

Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
Evaluated 2026-11-15 against the cached history through 2025-12-01.
This is an evaluation of the serving model; it does not establish a winner across four model classes.

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 44% of the 9 earlier 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.
Period	Value
2025	0.4%
2024	1.6%
2023	0.6%
2022	3.8%
2021	1.4%
2020	-3.1%
2019	2.1%
2018	-4.2%
2017	-3.2%
2016	-1.6%
2015	-0.8%
2014	-1.8%
2013	-0.1%
2012	0.5%
2011	-1.7%
2010	-3.6%
2009	-3.8%
2008	-2.9%
2007	-1.2%
2006	0.5%
2005	1.9%
2004	2.7%
2003	2.3%
2002	2.2%

Source

Data: public market data feeds.