Mexico Central Bank Balance Sheet

Mexico · Monthly series · EC-MX-CBBS

Latest, August 2026

5.34T MXN

+1.8% from July 2026

Open interactive chartMexico Central Bank Balance Sheet in the app

6.305T4.903T3.5TSeptember 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 5.51T MXN, with an 80% interval of 4.96T MXN to 6.19T MXN.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 20265.35T MXN5.22T MXN5.50T MXN
October 20265.33T MXN4.97T MXN5.78T MXN
November 20265.34T MXN4.96T MXN5.83T MXN
December 20265.37T MXN5.02T MXN5.81T MXN
January 20275.39T MXN5.08T MXN5.79T MXN
February 20275.39T MXN5.08T MXN5.80T MXN
March 20275.41T MXN5.07T MXN5.84T MXN
April 20275.43T MXN5.15T MXN5.77T MXN
May 20275.45T MXN5.01T MXN6.02T MXN
June 20275.44T MXN4.77T MXN6.31T MXN
July 20275.47T MXN4.89T MXN6.19T MXN
August 20275.51T MXN4.96T MXN6.19T MXN

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

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
-1%Matches the no-change baseline over 12 tests (12 tests, 6 won)
Direction
58%No clear edge over a coin flip (84 of 144 calls right in 12 tests)
Turning points
32 of 70Anticipated some turns (70 turns in 12 tests, 0 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
2014-09-01 to 2026-08-0112 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

It is above 83% of the 119 earlier readings since September 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
August 20265.34T MXN
July 20265.24T MXN
June 20265.23T MXN
May 20265.30T MXN
April 20265.33T MXN
March 20265.48T MXN
February 20265.54T MXN
January 20265.66T MXN
December 20255.50T MXN
November 20255.59T MXN
October 20255.57T MXN
September 20255.65T MXN
August 20255.49T MXN
July 20255.38T MXN
June 20255.47T MXN
May 20255.47T MXN
April 20255.58T MXN
March 20255.61T MXN
February 20255.73T MXN
January 20255.69T MXN
December 20245.62T MXN
November 20245.63T MXN
October 20245.43T MXN
September 20245.29T MXN

Source

Data: public market data feeds.

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