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)

Vietnam
5 /100
●Normal
Δ 1M -4 · Δ 3M -11
Global
31 /100
●Normal
Δ 1M +0 · Δ 3M +16

0–100 scale = where today's stress sits within its full history (100 = highest on record)

Early warning, 6–24 months

Vietnam
●No alert
Signal score 0.02 · sensitive 0.14 · main 0.66
Active signals: Brent oil change, 12 months
Main threshold: ~1% historical false alarms but catches only 25% of pre-crisis months. Sensitive threshold: catches 77% with ~24% false alarms.
Global
▲Above sensitive threshold
Signal score 0.25 · sensitive 0.18 · main 0.42
Active signals: Brent oil change, 12 months, Global policy uncertainty (EPU)
Main threshold: ~1% historical false alarms but catches only 42% of pre-crisis months. Sensitive threshold: catches 89% with ~29% false alarms.

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 today80% range
Vietnam 5.2 /100 5.7 /100 5.2–7.6
Global 30.7 /100 31.7 /100 29.0–35.1
Estimation method, tests and error
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).

Candidate models (mean absolute error, points; validation → test)

VN valid.Glob. valid.VN testGlob. test
N0 — keep the observed value (benchmark) 1.371.581.372.10
N1 — random walk + historical simulation 1.211.331.231.87
N2 — random walk + volatility-filtered historical simulation (EWMA) 1.191.321.231.86
N3 — volatility-filtered historical simulation + bridge equations for delayed data ✓ 1.091.111.161.58
N4 — N3 + mean reversion for VIX, MOVE and credit spreads 1.091.121.161.58

Limits of the estimate

Stress index (0–100) and severe stress episodes

Vietnam Global Strips below axis: severe stress episodes ◇ Estimate of the 10/2026 index (updated daily, converging to the month's index as data completes) — thick bar = 80% range, thin line = 95% range; ◇ solid = model passed the benchmark test, ◇ dashed = indicative figure (not yet passed); not an observed value
050759010020062008201020122014201620182020202220242026estimate, month 10
Show data table (24 months)
MonthVietnamGlobal
2026-10531
2026-09930
2026-08416
2026-071615
2026-062216
2026-051441
2026-045551
2026-038256
2026-023538
2026-014641
2025-123121
2025-115333
2025-108338
2025-096050
2025-084743
2025-075043
2025-065054
2025-057365
2025-048972
2025-037069
2025-022843
2025-011016
2024-122014
2024-112820
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 10/202680% range95% range
Vietnam 5.2 /100 7.4 /100 · indicative 3.9–18.03.0–25.4
Global 30.7 /100 36.6 /100 · indicative 23.3–50.119.2–58.5

Limits of the monthly estimate

By transmission channel

RegionChannel0–100
GlobalMonetary & global financial cycle36
GlobalMarket stress37
GlobalCommodities & hoarding67
GlobalUncertainty & geopolitics88
VietnamFX & balance of payments45
VietnamMarket stress43
VietnamCommodities & hoarding35
VietnamUncertainty & geopolitics79

Indicators to watch

Risk level = historical percentile (higher = riskier); ranked by one-month increase

IndicatorRisk levelΔ 1M
USD appreciation, 6 months68+23
St. Louis Financial Stress Index30+22
Fed funds change, 12 months59+20
Geopolitical risk (GPR)89+9
FAO food prices change, 12 months64+8
Brent oil change, 12 months97+3

Key market indicators

ValueΔ 1DΔ 1MSource
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
VIX15.01-3.3%+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

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)