Vietnam GDP From Public Administration
Vietnam · Quarterly series · EC-VN-GDPPA
Latest, Q3 2026
37,645,000,000,000 VND
-14.9% from Q2 2026
Forecast
Forecast for Q3 2027: 38,505,433,513,915 VND, with an 80% interval of -11,784,481,319,843 VND to 88,795,348,347,672 VND.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q4 2026 | 28,871,218,742,122 VND | -10,655,532,479,847 VND | 68,397,969,964,091 VND |
| Q1 2027 | 43,716,793,479,296 VND | 34,478,621,770,668 VND | 52,954,965,187,924 VND |
| Q2 2027 | 47,057,911,017,686 VND | 23,697,634,783,629 VND | 70,418,187,251,742 VND |
| Q3 2027 | 38,505,433,513,915 VND | -11,784,481,319,843 VND | 88,795,348,347,672 VND |
AI confidence
Needs refreshThe data refresh is due. Confidence will be reassessed against the refreshed history.
Model: Exponential smoothing (statistical)
- Accuracy vs naive
- n/aNot evaluated
- Direction
- n/aNot evaluated
- Turning points
- n/aNot evaluated
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
Previous comparisonThe stored comparison uses earlier data or a previous model roster. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.
Models tested
Exponential smoothing scored lowest on the 2 older tests (0.02) and was chosen. The 5 recent tests played no part in the choice and give its grade (0.36). The search for a model that beats the naive forecast on both sets of tests goes on. Scores are MASE: a model's errors divided by the naive forecast's, so 1 is a tie.
4 model classes completed the tests: Statistical, Foundation model, Neural network, Machine learning. Previous model roster.
| Model | Class and compute | Older tests | Recent tests | Role |
|---|---|---|---|---|
| Exponential smoothing (statistical) | Statistical · CPU | 0.02 | 0.36 | Serving |
| Agentic Investor TSFM (foundation model) | Foundation model · CPU | 0.04 | 0.40 | Tested |
| Hierarchical neural network (neural network) | Neural network · CPU | 0.04 | 0.56 | Tested |
| State-space model, 167M (foundation model) | Foundation model · CPU | 0.16 | 0.48 | Tested |
| Gradient-boosted trees (machine learning) | Machine learning · CPU | 0.29 | 0.59 | Tested |
| Naive forecast (last value held) | Benchmark · CPU | 1.00 | 1.00 | Benchmark |
Reading
It is above 36% of the 39 earlier readings since Q4 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q3 2026 | 37,645,000,000,000 VND |
| Q2 2026 | 44,228,000,000,000 VND |
| Q1 2026 | 39,232,000,000,000 VND |
| Q4 2025 | 25,618,000,000,000 VND |
| Q3 2025 | 26,051,000,000,000 VND |
| Q2 2025 | 30,950,000,000,000 VND |
| Q1 2025 | 26,534,000,000,000 VND |
| Q4 2024 | 42,357,000,000,000 VND |
| Q3 2024 | 29,547,000,000,000 VND |
| Q2 2024 | 30,155,000,000,000 VND |
| Q1 2024 | 23,120,000,000,000 VND |
| Q4 2023 | 116,930,000,000,000 VND |
| Q3 2023 | 78,116,000,000,000 VND |
| Q2 2023 | 50,120,000,000,000 VND |
| Q1 2023 | 21,787,000,000,000 VND |
| Q4 2022 | 111,068,000,000,000 VND |
| Q3 2022 | 73,938,000,000,000 VND |
| Q2 2022 | 48,542,000,000,000 VND |
| Q1 2022 | 21,067,000,000,000 VND |
| Q4 2021 | 107,958,000,000,000 VND |
| Q3 2021 | 72,693,000,000,000 VND |
| Q2 2021 | 47,238,000,000,000 VND |
| Q1 2021 | 20,470,000,000,000 VND |
| Q4 2020 | 104,277,000,000,000 VND |
Source
Data: public market data feeds.
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- Vietnam Changes In Inventories
- Vietnam Consumer Confidence Index
- Vietnam Consumer Price Index
- Vietnam Consumer Spending
- Vietnam Core Inflation Rate MoM
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- Vietnam Corruption Index
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