Pakistan Government Budget Value
Pakistan · Annual series · EC-PK-GBV
Latest, 2025
-6.17T PKR
+1.04T PKR from 2024
Forecast
Forecast for 2028: -6.39T PKR, with an 80% interval of -15.94T PKR to 1.05T PKR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| 2026 | -6.08T PKR | -12.00T PKR | -1.18T PKR |
| 2027 | -6.24T PKR | -11.99T PKR | -1.50T PKR |
| 2028 | -6.39T PKR | -15.94T PKR | 1.05T PKR |
AI confidence
Mixed evidenceThe tests show no consistent, material advantage over the no-change baseline.
Model: Agentic Investor TSFM (foundation model)
- Accuracy vs naive
- -2%Matches the no-change baseline over 12 tests (12 tests, 9 won)
- Direction
- 53%No clear edge over a coin flip (19 of 36 calls right in 12 tests)
- Turning points
- 5 of 14Anticipated some turns (14 turns in 12 tests, 1 without a turn)
- Error vs baseline
- 2% higherError ratio 1.02; 1.00 is a tie.
- Tests won
- 9 / 12Complete rolling backtests; ties count as no win.
- Test period
- 1990-12-01 to 2025-12-013 observations ahead per test.
- 80% band coverage
- 83%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.
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 22% of the 9 earlier readings since 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| 2025 | -6.17T PKR |
| 2024 | -7.21T PKR |
| 2023 | -6.52T PKR |
| 2022 | -5.26T PKR |
| 2021 | -3.40T PKR |
| 2020 | -3.38T PKR |
| 2019 | -3.44T PKR |
| 2018 | -2.26T PKR |
| 2017 | -1.86T PKR |
| 2016 | -1.35T PKR |
| 2015 | -1.46T PKR |
| 2014 | -1.39T PKR |
| 2013 | -1.83T PKR |
| 2012 | -1.37T PKR |
| 2011 | -1.19T PKR |
| 2010 | -929.10B PKR |
| 2009 | -680.40B PKR |
| 2008 | -761.70B PKR |
| 2007 | -362.00B PKR |
| 2006 | -322.40B PKR |
| 2005 | -208.20B PKR |
| 2004 | -110.10B PKR |
| 2003 | -140.60B PKR |
| 2002 | -127.20B PKR |
Source
Data: public market data feeds.
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Also stored for Pakistan
- Pakistan Balance Of Trade
- Pakistan CO2 Emissions
- Pakistan CPI Housing Utilities
- Pakistan CPI Transportation
- Pakistan Capital Flows
- Pakistan Cement Production
- Pakistan Changes In Inventories
- Pakistan Consumer Confidence Index
- Pakistan Consumer Credit
- Pakistan Consumer Price Index
- Pakistan Consumer Spending
- Pakistan Core Inflation Rate YoY