Morocco Banks Balance Sheet

Morocco · Monthly series · EC-MA-BBS

Latest, September 2026

2.20T MAD

+1.4% from August 2026

Open interactive chartMorocco Banks Balance Sheet in the app

2.454T1.822T1.19TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 2.33T MAD, with an 80% interval of 2.23T MAD to 2.44T MAD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20262.20T MAD2.18T MAD2.22T MAD
November 20262.21T MAD2.17T MAD2.24T MAD
December 20262.25T MAD2.19T MAD2.31T MAD
January 20272.23T MAD2.18T MAD2.29T MAD
February 20272.24T MAD2.17T MAD2.31T MAD
March 20272.27T MAD2.18T MAD2.36T MAD
April 20272.27T MAD2.22T MAD2.31T MAD
May 20272.27T MAD2.21T MAD2.34T MAD
June 20272.32T MAD2.22T MAD2.42T MAD
July 20272.31T MAD2.24T MAD2.39T MAD
August 20272.32T MAD2.18T MAD2.45T MAD
September 20272.33T MAD2.23T MAD2.44T MAD

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
+54%Beats the no-change baseline over 12 tests (12 tests, 12 won)
Direction
94%Beats a coin flip (136 of 144 calls right in 12 tests)
Turning points
53 of 75Anticipated most turns (75 turns in 12 tests, 0 without a turn)
Error vs baseline
54% lowerError ratio 0.46; 1.00 is a tie.
Tests won
12 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
79%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 20262.20T MAD
August 20262.17T MAD
July 20262.17T MAD
June 20262.16T MAD
May 20262.12T MAD
April 20262.10T MAD
March 20262.11T MAD
February 20262.10T MAD
January 20262.07T MAD
December 20252.10T MAD
November 20252.01T MAD
October 20252.00T MAD
September 20252.01T MAD
August 20251.98T MAD
July 20251.99T MAD
June 20251.99T MAD
May 20251.93T MAD
April 20251.95T MAD
March 20251.96T MAD
February 20251.92T MAD
January 20251.92T MAD
December 20241.96T MAD
November 20241.91T MAD
October 20241.89T MAD

Source

Data: public market data feeds.

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