Jordan GDP Deflator

Jordan · Annual series · EC-JO-GDPD

Latest, 2017

239.6 pts

+1.7% from 2016

Open interactive chartJordan GDP Deflator in the app

262.2147.933.619762020
History through 2017, the forecast path to 2020 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2020: 244.7 pts, with an 80% interval of 224.7 pts to 262.2 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
2018242.4 pts237.5 pts247.8 pts
2019243.4 pts231.0 pts255.6 pts
2020244.7 pts224.7 pts262.2 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
+47%Beats the no-change baseline over 7 tests (7 tests, 6 won)
Direction
95%Beats a coin flip (20 of 21 calls right in 7 tests)
Turning points
n/aToo few tests (2 turns, 8 needed) (2 turns in 7 tests, 5 without a turn)
Error vs baseline
47% lowerError ratio 0.53; 1.00 is a tie.
Tests won
6 / 7Complete rolling backtests; ties count as no win.
Test period
1997-12-01 to 2017-12-013 observations ahead per test.
80% band coverage
86%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 10 readings since 2008.

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
2017239.6 pts
2016235.7 pts
2015233.4 pts
2014228.2 pts
2013220.6 pts
2012208.9 pts
2011199.9 pts
2010187.9 pts
2009173.3 pts
2008168.5 pts
2007140.6 pts
2006133.8 pts
2005120.9 pts
2004118.6 pts
2003115.0 pts
2002112.6 pts
2001111.6 pts
2000110.7 pts
1999111.2 pts
1998111.6 pts
1997105.3 pts
1996104.0 pts
1995101.9 pts
1994100.0 pts

Source

Data: public market data feeds.

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