Peru Loans To Private Sector

Peru · Monthly series · EC-PE-LPS

Latest, September 2026

270.88B PEN

-0.6% from August 2026

Open interactive chartPeru Loans To Private Sector in the app

302.1B234.5B166.8BOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 278.34B PEN, with an 80% interval of 256.54B PEN to 300.23B PEN.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026270.88B PEN266.46B PEN275.30B PEN
November 2026270.89B PEN267.11B PEN274.71B PEN
December 2026271.49B PEN263.37B PEN279.49B PEN
January 2027270.11B PEN254.55B PEN284.73B PEN
February 2027269.95B PEN251.72B PEN287.55B PEN
March 2027271.15B PEN258.44B PEN283.18B PEN
April 2027273.11B PEN262.62B PEN283.17B PEN
May 2027274.99B PEN261.49B PEN288.62B PEN
June 2027276.03B PEN259.75B PEN292.87B PEN
July 2027277.30B PEN258.96B PEN295.79B PEN
August 2027278.32B PEN255.50B PEN302.13B PEN
September 2027278.34B PEN256.54B PEN300.23B PEN

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
+21%Beats the no-change baseline over 12 tests (12 tests, 8 won)
Direction
78%No clear edge over a coin flip (112 of 144 calls right in 12 tests)
Turning points
6 of 52Anticipated some turns (52 turns in 12 tests, 0 without a turn)
Error vs baseline
21% lowerError ratio 0.79; 1.00 is a tie.
Tests won
8 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
85%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 2026270.88B PEN
August 2026272.44B PEN
July 2026267.75B PEN
June 2026263.66B PEN
May 2026263.46B PEN
April 2026260.05B PEN
March 2026253.92B PEN
February 2026253.42B PEN
January 2026254.95B PEN
December 2025254.11B PEN
November 2025251.96B PEN
October 2025259.65B PEN
September 2025258.94B PEN
August 2025259.33B PEN
July 2025257.60B PEN
June 2025255.49B PEN
May 2025254.36B PEN
April 2025250.43B PEN
March 2025248.91B PEN
February 2025247.38B PEN
January 2025247.91B PEN
December 2024250.00B PEN
November 2024250.34B PEN
October 2024247.27B PEN

Source

Data: public market data feeds.

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