AgenticInvestor

Pakistan Loans To Private Sector

Pakistan · Monthly series · EC-PK-LPS

Latest, September 2026

9.53T PKR

+3.1% from August 2026

Open interactive chartPakistan Loans To Private Sector in the app

12.84T8.067T3.294TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 10.24T PKR, with an 80% interval of 8.15T PKR to 12.84T PKR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20269.71T PKR9.42T PKR10.07T PKR
November 20269.87T PKR9.37T PKR10.60T PKR
December 202610.38T PKR9.80T PKR11.26T PKR
January 202710.18T PKR9.57T PKR11.04T PKR
February 202710.24T PKR9.57T PKR11.18T PKR
March 202710.28T PKR9.64T PKR11.12T PKR
April 202710.24T PKR9.59T PKR11.09T PKR
May 202710.16T PKR9.02T PKR11.55T PKR
June 202710.33T PKR8.58T PKR12.50T PKR
July 202710.13T PKR8.36T PKR12.20T PKR
August 202710.09T PKR8.36T PKR12.15T PKR
September 202710.24T PKR8.15T PKR12.84T PKR

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
+39%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
96%Beats a coin flip (138 of 144 calls right in 12 tests)
Turning points
50 of 65Anticipated most turns (65 turns in 12 tests, 0 without a turn)
Error vs baseline
39% lowerError ratio 0.61; 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
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 99% of the 119 earlier 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 20269.53T PKR
August 20269.25T PKR
July 20269.29T PKR
June 20269.60T PKR
May 20269.17T PKR
April 20269.17T PKR
March 20269.23T PKR
February 20269.17T PKR
January 20268.94T PKR
December 20259.29T PKR
November 20258.50T PKR
October 20258.37T PKR
September 20258.37T PKR
August 20258.18T PKR
July 20258.21T PKR
June 20258.42T PKR
May 20258.23T PKR
April 20258.27T PKR
March 20258.25T PKR
February 20258.09T PKR
January 20258.48T PKR
December 20249.33T PKR
November 20248.66T PKR
October 20248.10T PKR

Source

Data: public market data feeds.

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