AgenticInvestor

Mongolia Interbank Rate

Mongolia · Monthly series · EC-MN-INBR

Latest, September 2026

12.5%

+0.81pp from August 2026

Open interactive chartMongolia Interbank Rate in the app

17.411.525.65October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 12.5%, with an 80% interval of 7.3% to 17.4%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202612.6%12.3%12.9%
November 202612.6%11.9%13.3%
December 202612.6%11.6%13.6%
January 202712.6%11.4%13.8%
February 202712.6%11.1%14.1%
March 202712.6%10.4%14.7%
April 202712.5%9.7%15.4%
May 202712.5%9.7%15.3%
June 202712.5%8.9%16.1%
July 202712.5%8.1%16.8%
August 202712.5%8.3%16.5%
September 202712.5%7.3%17.4%

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

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
0%Matches the no-change baseline over 12 tests (12 tests, 6 won)
Direction
57%No clear edge over a coin flip (79 of 138 calls right in 12 tests)
Turning points
21 of 59Anticipated some turns (59 turns in 12 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
76%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 78% 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 202612.5%
August 202611.7%
July 202612.1%
June 202612.0%
May 202612.0%
April 202612.0%
March 202612.0%
February 202612.0%
January 202612.0%
December 202512.0%
November 202512.0%
October 202512.0%
September 202512.0%
August 202512.0%
July 202512.0%
June 202512.0%
May 202512.1%
April 202512.0%
March 202511.9%
February 20259.9%
January 20259.7%
December 20249.9%
November 20249.6%
October 202410.1%

Source

Data: public market data feeds.

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