Nepal Real GDP

Name: Nepal Real GDP
Creator: Agentic Investor

Nepal · Annual series · EC-NP-GDPCP

Latest, 2025

2.79T NPR

+4.4% from 2024

Open interactive chartNepal Real GDP in the app

History through 2025, the forecast path to 2028 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2028: 3.06T NPR, with an 80% interval of 2.78T NPR to 3.36T NPR.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
2026	2.87T NPR	2.76T NPR	3.00T NPR
2027	2.95T NPR	2.66T NPR	3.27T NPR
2028	3.06T NPR	2.78T NPR	3.36T NPR

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: +58%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction: 97%Beats a coin flip (35 of 36 calls right in 12 tests)
Turning points: n/aToo few tests (1 turn, 8 needed) (1 turn in 12 tests, 11 without a turn)

Error vs baseline: 58% lowerError ratio 0.42; 1.00 is a tie.
Tests won: 11 / 12Complete rolling backtests; ties count as no win.
Test period: 1990-12-01 to 2025-12-013 observations ahead per test.
80% band coverage: 81%Observed outcomes inside the band across all stored test windows.

Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
Evaluated 2026-11-15 against the cached history through 2025-12-01.
This is an evaluation of the serving model; it does not establish a winner across four model classes.

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 10 readings since 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.
Period	Value
2025	2.79T NPR
2024	2.67T NPR
2023	2.58T NPR
2022	2.53T NPR
2021	2.39T NPR
2020	2.28T NPR
2019	2.34T NPR
2018	2.19T NPR
2017	2.04T NPR
2016	1.87T NPR
2015	1.86T NPR
2014	1.79T NPR
2013	1.69T NPR
2012	1.63T NPR
2011	1.56T NPR
2010	1.51T NPR
2009	1.44T NPR
2008	1.38T NPR
2007	1.30T NPR
2006	1.25T NPR
2005	1.21T NPR
2004	1.17T NPR
2003	1.12T NPR
2002	1.08T NPR

Source

Data: public market data feeds.