Financial Stress Bulletin
Financial Stress Bulletin — 2026-10-08
Published 06:05 on 08/10/2026 · data through end of 07/10/2026
Vietnam stress is normal (5/100, -11 points over 3 months).
global stress is normal (31/100, +16 points over 3 months).
Today's estimate: Vietnam 6/100 (80% range: 5–8).
Today's estimate: global 32/100 (80% range: 29–35).
global early warning: above sensitive threshold, driven by Brent oil change, 12 months, Global policy uncertainty (EPU).
Current stress level (data through end of 07/10/2026)
0–100 scale = where today's stress sits within its full history (100 = highest on record)
Early warning, 6–24 months
Today's stress index estimate
Published 06:05 on 08/10/2026 · data through end of 07/10/2026
The "observed" index uses data through the end of 07/10/2026. The "estimate" is the value expected once data through the end of 08/10/2026 are in — the figure the next working day's bulletin will report as "observed".
| Observed (through end of 07/10/2026) | Estimate for today | 80% range | |
|---|---|---|---|
| Vietnam | 5.2 /100 | 5.7 /100 | 5.2–7.6 |
| Global | 30.7 /100 | 31.7 /100 | 29.0–35.1 |
- Vietnam: The range did not pass the conditional-calibration test: in the test period the 80% range actually covered 87% of days (conditional coverage rejected, p < 0.001); misses tend to cluster in time, so treat it as a cautious range, not an exact probability.
- Global: The range did not pass the conditional-calibration test: in the test period the 80% range actually covered 85% of days (conditional coverage rejected, p < 0.001); misses tend to cluster in time, so treat it as a cautious range, not an exact probability.
- Yesterday's estimate (07/10/2026): Vietnam 5.4 (range 4.9–6.4); observed afterwards 5.2. (provisional — source data may still be revised)
- Yesterday's estimate (07/10/2026): Global 32.2 (range 30.0–34.9); observed afterwards 30.7. (provisional — source data may still be revised)
Estimation method, tests and error
- Model applied: N3 — volatility-filtered historical simulation + bridge equations for delayed data. Selected among 4 candidates (N1–N4) by error over the 01/2009–12/2018 validation period. The uncertainty range comes from N4 — N3 + mean reversion for VIX, MOVE and credit spreads (lowest interval score on the validation period).
- Tests (test period 01/2019→10/2026, 1940 days; rules registered 07/10/2026)
- Vietnam: mean absolute error 1.16 points vs 1.37 points when keeping the observed value (15% lower); Diebold–Mariano p < 0.001 → passed.
- Vietnam: the 80% range covered 87% of days (target 80%); Christoffersen conditional test p < 0.001 → failed.
- Global: mean absolute error 1.58 points vs 2.10 points when keeping the observed value (25% lower); Diebold–Mariano p < 0.001 → passed.
- Global: the 80% range covered 85% of days (target 80%); Christoffersen conditional test p < 0.001 → failed.
- Optimisation: the model was selected on the validation period; parameters (λ, window, shrinkage) are pre-registered conventions and were NOT tuned on test results; recalibrated quarterly (latest 07/10/2026).
- The error log has just started; not enough data yet (needs ≥ 5 days with outcomes).
Method details, candidate models and limits
How: (1) series published with a delay are brought up to the end of yesterday by regressions on same-day market series; (2) today's moves are drawn at random from the last 1250 days of history, scaled by current volatility (EWMA, λ = 0.94); (3) each of 2000 scenarios is passed through the exact current index procedure; (4) the point estimate is the median, ranges are the 10%–90% (80%) and 2.5%–97.5% (95%) percentiles.
Series bridged today: Brent crude (2 working days), BAA–10Y spread (2 working days), broad USD index (4 working days), VIX (2 working days).
- Stress episodes (VIX > 30, 367 days): error 17% lower (Vietnam).
- Stress episodes (VIX > 30, 367 days): error 20% lower (Global).
Candidate models (mean absolute error, points; validation → test)
| VN valid. | Glob. valid. | VN test | Glob. test | |
|---|---|---|---|---|
| N0 — keep the observed value (benchmark) | 1.37 | 1.58 | 1.37 | 2.10 |
| N1 — random walk + historical simulation | 1.21 | 1.33 | 1.23 | 1.87 |
| N2 — random walk + volatility-filtered historical simulation (EWMA) | 1.19 | 1.32 | 1.23 | 1.86 |
| N3 — volatility-filtered historical simulation + bridge equations for delayed data ✓ | 1.09 | 1.11 | 1.16 | 1.58 |
| N4 — N3 + mean reversion for VIX, MOVE and credit spreads | 1.09 | 1.12 | 1.16 | 1.58 |
Limits of the estimate
- The estimate uses market data through the end of yesterday only; it does not use the macro calendar, news or scenarios — unexpected events during the day cannot be predicted (they enter only indirectly via current volatility in the range width).
- Weekly/monthly/quarterly/annual series (EPU, GPR, CPI…) keep their latest values; some domestic series may be updated late.
- Tests use revised data and source delays measured on 7 Oct 2026; the lag between the US and Vietnamese sessions within the same day is not modelled.
Stress index (0–100) and severe stress episodes
Show data table (24 months)
| Month | Vietnam | Global |
|---|---|---|
| 2026-10 | 5 | 31 |
| 2026-09 | 9 | 30 |
| 2026-08 | 4 | 16 |
| 2026-07 | 16 | 15 |
| 2026-06 | 22 | 16 |
| 2026-05 | 14 | 41 |
| 2026-04 | 55 | 51 |
| 2026-03 | 82 | 56 |
| 2026-02 | 35 | 38 |
| 2026-01 | 46 | 41 |
| 2025-12 | 31 | 21 |
| 2025-11 | 53 | 33 |
| 2025-10 | 83 | 38 |
| 2025-09 | 60 | 50 |
| 2025-08 | 47 | 43 |
| 2025-07 | 50 | 43 |
| 2025-06 | 50 | 54 |
| 2025-05 | 73 | 65 |
| 2025-04 | 89 | 72 |
| 2025-03 | 70 | 69 |
| 2025-02 | 28 | 43 |
| 2025-01 | 10 | 16 |
| 2024-12 | 20 | 14 |
| 2024-11 | 28 | 20 |
See the stress index estimate for 10/2026
The 10/2026 point on the chart is the index computed so far within the month (provisional) and only becomes official when the month ends (31/10/2026). The estimate below is the expected 10/2026 index: it is recomputed every working day from new data and converges to the month's index as data completes (17 working days left including today; the range narrows over time).
| Observed (through end of 07/10/2026) | Estimate for 10/2026 | 80% range | 95% range | |
|---|---|---|---|---|
| Vietnam | 5.2 /100 | 7.4 /100 · indicative | 3.9–18.0 | 3.0–25.4 |
| Global | 30.7 /100 | 36.6 /100 · indicative | 23.3–50.1 | 19.2–58.5 |
- Vietnam: the figure is indicative only in the 16–23-working-days-left group — the model has not significantly beaten the "keep the observed value" benchmark in both the validation and test periods; read it together with the range (dashed diamond on the chart).
- Global: the figure is indicative only in the 16–23-working-days-left group — the model has not significantly beaten the "keep the observed value" benchmark in both the validation and test periods; read it together with the range (dashed diamond on the chart).
- Vietnam: the 80% range did not pass calibration for the 16–23-days-left group (test period: actual coverage 63% of days; month-level Christoffersen test p < 0.001); treat it as an indicative range, not an exact probability.
- Model: N3 — volatility-filtered historical simulation + bridge equations for delayed data. The uncertainty range comes from N3. Selected among 4 candidates by error over the 01/2009–12/2018 validation period.
- How: simulate the path for each working day from today to the last working day of the month (each day's shock is drawn at random from the last 1250 days of history, scaled by current volatility; delayed series are bridged by regression), then pass each of 2000 paths through the exact index procedure. Monthly, quarterly and annual indicators keep their current values; the month's own Google Trends is not yet known, so the prior month's value is carried.
- Tests for the 16–23-working-days-left group (test period 01/2019→09/2026, 93 months; month-level tests, rules registered 07/10/2026)
- Vietnam: mean absolute error 6.77 points vs 7.05 points when keeping the observed value (4% lower); month-level Diebold–Mariano p = 0.170 → failed.
- Vietnam: the 80% range covered 63% of days (target 80%); month-level Christoffersen p < 0.001 → failed.
- Global: mean absolute error 6.66 points vs 7.01 points when keeping the observed value (5% lower); month-level Diebold–Mariano p = 0.087 → failed.
- Global: the 80% range covered 75% of days (target 80%); month-level Christoffersen p = 0.110 → passed.
- Optimisation: the model was selected on the validation period; parameters (λ, window, shrinkage) are pre-registered conventions and were NOT tuned on test results; recalibrated quarterly (latest 07/10/2026).
- The monthly-estimate error log has just started; outcomes are only known after the month closes.
Limits of the monthly estimate
- The estimate targets the month index using the information available when the month ends and does NOT include later revisions — the official monthly index may be revised: when monthly indicators are published after the month ends (notably the month's own Google Trends), the Vietnam point is revised by about 4.5 points on average (90th percentile about 11) and the global point by about 0.9 — past monthly points on the chart are revised figures.
- Early in the month the range is very wide and narrows as the month's data accumulate; in many groups the model has not beaten the "keep the observed value" benchmark, so the point figure is indicative only and must be read with the range. The Vietnam index is also affected by monthly indicators that are not simulated, so its range often fails calibration.
- The limits of today's estimate (no news or events calendar, revised data, source delays measured on 7 Oct 2026) also apply.
By transmission channel
| Region | Channel | 0–100 | |
|---|---|---|---|
| Global | Monetary & global financial cycle | 36 | |
| Global | Market stress | 37 | |
| Global | Commodities & hoarding | 67 | |
| Global | Uncertainty & geopolitics | 88 | |
| Vietnam | FX & balance of payments | 45 | |
| Vietnam | Market stress | 43 | |
| Vietnam | Commodities & hoarding | 35 | |
| Vietnam | Uncertainty & geopolitics | 79 |
Indicators to watch
Risk level = historical percentile (higher = riskier); ranked by one-month increase
| Indicator | Risk level | Δ 1M |
|---|---|---|
| USD appreciation, 6 months | 68 | +23 |
| St. Louis Financial Stress Index | 30 | +22 |
| Fed funds change, 12 months | 59 | +20 |
| Geopolitical risk (GPR) | 89 | +9 |
| FAO food prices change, 12 months | 64 | +8 |
| Brent oil change, 12 months | 97 | +3 |
Key market indicators
| Value | Δ 1D | Δ 1M | Source | |
|---|---|---|---|---|
| VN-Index vs 12-month high (%) 12-month high (closing basis) set on 18/05/2026. | -9.1 | — | — | Computed by GiaTaiSan.com |
| SJC premium over world gold (%) SJC ask price vs the reference world gold price (PAXG) converted at the central rate — the same basis as the reference gold line below; may differ from the internal model input. | 12.4 | — | — | Computed by GiaTaiSan.com |
| World gold, reference (USD/oz) Computed from the PAXG price (gold-backed token, 1 token = 1 ounce) from CoinGecko — a reference, not the spot gold price. | 4,115.8 | -0.6% | -6.9% | Data provided by CoinGecko |
| World gold, reference (USD/tael) Computed from the PAXG price (gold-backed token, 1 token = 1 ounce) from CoinGecko — a reference, not the spot gold price. 1 tael = 37.5 g = 1.2057 troy oz. | 4,962.3 | -0.6% | -6.9% | Data provided by CoinGecko |
| Bitcoin (USD) | 83,189 | -3.0% | +3.6% | Data provided by CoinGecko |
| Brent oil (USD/bbl) | 125.44 | -0.1% | +22.7% | U.S. Energy Information Administration via FRED |
| VIX | 15.01 | -3.3% | +3.3% | Chicago Board Options Exchange via FRED |
| Fed funds rate (%) | 3.88 | +0.0% | +6.9% | Board of Governors of the Federal Reserve System (US) via FRED |
Only figures whose source terms permit republication are shown; other sources are used solely to compute the indices. Data sources · Powered by CoinGecko
Which past episode does today resemble?
Closest to the run-up to 2022-01 (similarity 0.58); shared features: Brent oil change, 12 months, Google searches: "dollar price", Global policy uncertainty (EPU).
Model limitations
- The Vietnam stress index mainly reflects inflation, the exchange rate and the VN-Index; without them its historical crisis-detection AUROC is only 0.57.
- In historical testing, the early warning did not anticipate Vietnam's 2008 and 2022 episodes.
- Indices are monthly; the current month uses the latest available data and may change until month-end.
- No model can predict the exact timing of a crisis or unprecedented shocks.
Method & sources. Stress index follows the CISS method (Hollo, Kremer & Lo Duca 2012); early warning follows the signals approach (Kaminsky, Lizondo & Reinhart 1998); crisis labels follow Laeven & Valencia (2026), Reinhart & Rogoff (2011), Mishkin & White (2002). Methodology →
References & sources of the day
Key references (methods) · Full list: see the Methodology page →
Baffigi, A., Golinelli, R., & Parigi, G. (2004). Bridge models to forecast the euro area GDP. International Journal of Forecasting, 20(3), 447–460. https://doi.org/10.1016/s0169-2070(03)00067-0
Barone-Adesi, G., Giannopoulos, K., & Vosper, L. (1999). VaR without correlations for portfolios of derivative securities. Journal of Futures Markets, 19(5), 583–602. https://doi.org/10.1002/(sici)1096-9934(199908)19:5<583::aid-fut5>3.0.co;2-s
Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253–263. https://doi.org/10.1080/07350015.1995.10524599
Giannone, D., Reichlin, L., & Small, D. (2008). Nowcasting: The real-time informational content of macroeconomic data. Journal of Monetary Economics, 55(4), 665–676. https://doi.org/10.1016/j.jmoneco.2008.05.010
Holló, D., Kremer, M., & Lo Duca, M. (2012). CISS – a composite indicator of systemic stress in the financial system (ECB Working Paper Series No. 1426). European Central Bank. https://doi.org/10.2139/ssrn.2018792
Hull, J., & White, A. (1998). Incorporating volatility updating into the historical simulation method for value-at-risk. The Journal of Risk, 1(1), 5–19. https://doi.org/10.21314/jor.1998.001
Kaminsky, G., Lizondo, S., & Reinhart, C. M. (1998). Leading indicators of currency crises. IMF Staff Papers, 45(1), 1–48. https://doi.org/10.2307/3867328
Laeven, L., & Valencia, F. (2026). Systemic banking crises database: 1970–2025 (IMF Working Paper No. 2026/094). International Monetary Fund. https://doi.org/10.5089/9798229045971.001
Market and model data (retrieved 08/10/2026)
- FRED — Federal Reserve Bank of St. Louis: VIX; St. Louis Fed Financial Stress Index; BAA–10Y spread; Broad US dollar index; Brent crude; US 10Y–3M yield spread; Fed funds rate
- Yahoo Finance: MOVE index; S&P 500; Emerging-market equities (EEM); World gold (COMEX); VIX (timely series for the estimate); Brent futures (for the estimate); US 10Y Treasury yield (for the estimate); USD/VND daily; US dollar index (DXY)
- Vietcap — stock index data: VN-Index
- SJC — gold prices: SJC gold price
- Bao Tin Minh Chau — gold prices: BTMC gold ring
- Vietcombank — exchange rates: USD/VND (Vietcombank)
- FAO — Food Price Index: FAO Food Price Index
- World Bank — Pink Sheet (commodity prices): Vietnam 5% rice export price
- Baker, Bloom & Davis — Economic Policy Uncertainty Index: Global economic policy uncertainty (EPU)
- Caldara & Iacoviello — Geopolitical Risk Index: Geopolitical risk (GPR); Vietnam-related geopolitical risk
- Bank for International Settlements (BIS): US credit-to-GDP gap; China credit-to-GDP gap; USD/VND (BIS)
- World Bank — Open Data: Vietnam credit-to-GDP; Vietnam FX reserves; Vietnam current account/GDP
- International Monetary Fund (IMF): Vietnam CPI; Vietnam food CPI
- Google Trends: Searches for "giá đô la"; Searches for "mua vàng"