Mexico Loans To Private Sector

Mexico · Monthly series · EC-MX-LPS

Latest, September 2026

4.16T MXN

+2.9% from August 2026

Open interactive chartMexico Loans To Private Sector in the app

4.844T3.411T1.979TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 4.40T MXN, with an 80% interval of 4.01T MXN to 4.84T MXN.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20264.20T MXN4.12T MXN4.29T MXN
November 20264.21T MXN4.08T MXN4.39T MXN
December 20264.23T MXN3.98T MXN4.55T MXN
January 20274.25T MXN4.02T MXN4.53T MXN
February 20274.28T MXN4.09T MXN4.50T MXN
March 20274.30T MXN4.08T MXN4.55T MXN
April 20274.31T MXN4.06T MXN4.62T MXN
May 20274.33T MXN4.02T MXN4.69T MXN
June 20274.35T MXN3.99T MXN4.76T MXN
July 20274.37T MXN4.01T MXN4.77T MXN
August 20274.38T MXN4.14T MXN4.66T MXN
September 20274.40T MXN4.01T MXN4.84T MXN

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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
+50%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
90%Beats a coin flip (130 of 144 calls right in 12 tests)
Turning points
0 of 43Anticipated no turn, as the no-change baseline does (43 turns in 12 tests, 0 without a turn)
Error vs baseline
50% lowerError ratio 0.50; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
82%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 20264.16T MXN
August 20264.04T MXN
July 20264.00T MXN
June 20263.97T MXN
May 20263.94T MXN
April 20263.90T MXN
March 20263.92T MXN
February 20263.85T MXN
January 20263.86T MXN
December 20253.87T MXN
November 20253.89T MXN
October 20253.86T MXN
September 20253.81T MXN
August 20253.83T MXN
July 20253.82T MXN
June 20253.78T MXN
May 20253.81T MXN
April 20253.76T MXN
March 20253.75T MXN
February 20253.72T MXN
January 20253.73T MXN
December 20243.70T MXN
November 20243.65T MXN
October 20243.57T MXN

Source

Data: public market data feeds.

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