AgenticInvestor

Philippines Loans To Private Sector

Philippines · Monthly series · EC-PH-LPS

Latest, September 2026

12.84T PHP

+0.8% from August 2026

Open interactive chartPhilippines Loans To Private Sector in the app

14.61T9.839T5.066TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 13.77T PHP, with an 80% interval of 12.78T PHP to 14.61T PHP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202612.95T PHP12.80T PHP13.11T PHP
November 202613.06T PHP12.90T PHP13.23T PHP
December 202613.33T PHP13.05T PHP13.66T PHP
January 202713.22T PHP12.83T PHP13.58T PHP
February 202713.25T PHP12.88T PHP13.60T PHP
March 202713.37T PHP12.73T PHP14.00T PHP
April 202713.46T PHP12.80T PHP14.08T PHP
May 202713.51T PHP12.81T PHP14.11T PHP
June 202713.58T PHP12.86T PHP14.24T PHP
July 202713.61T PHP12.74T PHP14.37T PHP
August 202713.67T PHP12.71T PHP14.48T PHP
September 202713.77T PHP12.78T PHP14.61T PHP

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
+52%Beats the no-change baseline over 9 tests (9 tests, 7 won)
Direction
93%Beats a coin flip (100 of 108 calls right in 9 tests)
Turning points
17 of 26Anticipated most turns (26 turns in 9 tests, 0 without a turn)
Error vs baseline
52% lowerError ratio 0.48; 1.00 is a tie.
Tests won
7 / 9Complete rolling backtests; ties count as no win.
Test period
2017-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
83%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 120 readings since October 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
September 202612.84T PHP
August 202612.73T PHP
July 202612.62T PHP
June 202612.54T PHP
May 202612.67T PHP
April 202612.46T PHP
March 202612.32T PHP
February 202612.04T PHP
January 202612.00T PHP
December 202512.16T PHP
November 202511.79T PHP
October 202511.64T PHP
September 202511.57T PHP
August 202511.51T PHP
July 202511.50T PHP
June 202511.49T PHP
May 202511.35T PHP
April 202511.26T PHP
March 202511.23T PHP
February 202511.08T PHP
January 202511.09T PHP
December 202411.22T PHP
November 202410.81T PHP
October 202410.66T PHP

Source

Data: public market data feeds.

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