Philippines Leading Economic Index

Philippines · Quarterly series · EC-PH-LEI

Latest, Q1 2014

0.0 pts

-73.8% from Q4 2013

Open interactive chartPhilippines Leading Economic Index in the app

0.6440.0085-0.627Q2 1984Q1 2015
History through Q1 2014, the forecast path to Q1 2015 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2015: -0.1 pts, with an 80% interval of -0.4 pts to 0.1 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 2014-0.1 pts-0.1 pts0.0 pts
Q3 2014-0.1 pts-0.3 pts0.1 pts
Q4 2014-0.1 pts-0.3 pts0.1 pts
Q1 2015-0.1 pts-0.4 pts0.1 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
+34%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
78%No clear edge over a coin flip (25 of 32 calls right in 8 tests)
Turning points
n/aToo few tests (5 turns, 8 needed) (5 turns in 8 tests, 2 without a turn)
Error vs baseline
34% lowerError ratio 0.66; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2006-06-01 to 2014-03-014 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

It is above 51% of the 39 earlier readings since Q2 2004.

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
Q1 20140.0 pts
Q4 20130.1 pts
Q3 20130.2 pts
Q2 20130.2 pts
Q1 20130.1 pts
Q4 20120.0 pts
Q3 20120.0 pts
Q2 20120.1 pts
Q1 20120.1 pts
Q4 20110.1 pts
Q3 2011-0.0 pts
Q2 2011-0.1 pts
Q1 2011-0.1 pts
Q4 2010-0.1 pts
Q3 2010-0.1 pts
Q2 2010-0.3 pts
Q1 2010-0.4 pts
Q4 2009-0.6 pts
Q3 2009-0.6 pts
Q2 2009-0.5 pts
Q1 2009-0.3 pts
Q4 20080.1 pts
Q3 20080.3 pts
Q2 20080.6 pts

Source

Data: public market data feeds.

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