SIGMA reads structural systemic risk, not short-term price direction. An elevated regime signals fundamental fragility that can persist for months alongside a rising market — it marks where United States sits on its financial cycle, a leading indicator rather than a market-timing call.
United States financial intelligence — Federal Reserve quantitative tightening, commercial real estate loan crisis, regional bank stress, dollar reserve currency pressure. SIGMA systemic risk score.
EXTERNAL VALIDATION
SIGMA 43.3/100 is consistent with United States's current sovereign CDS spread trajectory and IMF Article IV assessment. Independent validation is available via the IMF Country Report and World Bank Open Data portal linked below.
ADVANCED METRICS
KEY RISK SECTORS
The full United States brief — the layered SIGMA breakdown, cascade scenarios and settled signals — is part of the paid tiers. The daily reading, the method and the record stay free.
United States financial risk analysis — 2026
United States financial risk analysis for 2026 shows a SIGMA score of 43.3/100, placing the country in the stable regime as of the most recent SIGMA Engine calibration. The SIGMA Engine integrates 8 analytical dimensions — sovereign, banking, currency, political, network, metabolic, physical, and NLP — to compute a deterministic risk composite that cannot be reverse-engineered from market prices alone. A 43.3 SIGMA score reflects manageable systemic stress with identifiable vectors that require continued tracking.
Primary risk drivers — United States
The primary risk vectors for United States in 2026 converge on banking sector stress — capital adequacy under pressure, interbank contagion risk and commercial and residential real estate overvaluation — collateral deflation risk. United States financial intelligence — Federal Reserve quantitative tightening, commercial real estate loan crisis, regional bank stress, dollar reserve currency pressure. SIGMA systemic risk score. The North American context amplifies these risks through cross-border contagion channels that the SIGMA Network Layer quantifies using R₀ financial contagion coefficients — measuring how many secondary institutions would be stressed by a failure at the first-order node. The SIGMA Early Warning System shows no active pre-crisis flags for United States at present, though the 267-day estimated transition window should be monitored.
SIGMA methodology: United States
The SIGMA Engine applies an 8-layer mathematical framework to compute the United States risk score. The Hurst Exponent for this entity measures 0.622 — above 0.5, indicating persistent trend-following behavior in risk accumulation, meaning current conditions are more likely to continue than reverse. The KAIROS temporal arbitrage window identifies optimal intelligence entry and exit points based on regime transition probability curves. The PHANTOM Chain multi-agent AI system then generates conditional scenario trees: what happens if the primary risk vector materializes, and which secondary countries enter the contagion path.
United States vs regional peers
In the context of North American peers, United States's 43.3 SIGMA score sits near the regional median, with outlier risk concentrated in specific sectors. The Silence-Noise Matrix analysis for United States examines the divergence between SIGMA-measured risk and media attention — high-SIGMA, low-media entities (the "silent danger" quadrant) represent the highest-value intelligence, as markets have not yet priced the risk. The Consensus Capture module tracks IMF, World Bank, and ECB institutional stance alignment or divergence with the SIGMA Engine's independent mathematical assessment.
Related intelligence
Frequently asked — United States financial risk
- What is United States's financial risk score in 2026?
- United States's SIGMA financial risk score is 43.3/100 as of 2026, placing it in the stable regime. This score integrates sovereign debt, banking, currency, and political risk dimensions across 8 analytical layers using the Noosphere Prime SIGMA Engine v5.0.
- Is United States at risk of a financial crisis in 2026?
- With a SIGMA score of 43.3, United States shows stable-level systemic risk — not an immediate crisis probability, but identifiable vulnerabilities in banking sector stress — capital adequacy under pressure, interbank contagion risk that require monitoring. The SIGMA Engine projects 267 days to potential regime transition.
- What are the main financial risks in United States?
- The primary SIGMA-identified risk vectors for United States are: (1) banking sector stress — capital adequacy under pressure, interbank contagion risk; (2) commercial and residential real estate overvaluation — collateral deflation risk; (3) technology sector credit exposure — overextension in digital asset class. These interact through cross-sector amplification channels quantified by the SIGMA network contagion coefficient.
- How does Noosphere Prime calculate United States's risk score?
- The SIGMA Engine computes United States's risk score through 8 deterministic layers: sovereign/fiscal dimension (debt sustainability, primary balance), banking dimension (capital adequacy, NPL ratio), currency dimension (FX reserves, current account), political dimension (institutional stability, policy continuity), network contagion (R₀ coefficient), metabolic/cycle analysis, physics-based fragility (Minsky moment probability), and NLP analysis of official communications. Each dimension scores 0–100 and the composite SIGMA_FINAL is computed through calibrated weights.
- How does United States compare to other North American countries?
- United States ranks within the North American risk landscape with a SIGMA score of 43.3. Peer comparisons are available on the Country Comparison page, which provides side-by-side SIGMA dimension breakdown for any two monitored countries. The North American region's systemic interconnection means that contagion from higher-risk peers can elevate United States's effective risk even when its standalone score is moderate.
METHODOLOGY & ATTRIBUTION
SIGMA v5.0. Every score is computed deterministically from eight mathematical layers built on peer-reviewed quantitative finance. Predictions are SHA256-anchored before the event and verified at T+30 / T+60 / T+90 against real data.
ACADEMIC FOUNDATIONS
- Hamilton (1989)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle — EconometricaMarkov regime-switching models — SIGMA regime classification
- Reinhart & Rogoff (2009)This Time Is Different: Eight Centuries of Financial Folly — NBER Working Paper 14898Sovereign debt crisis indicators — SIGMA sovereign/fiscal layer
- Minsky (1986)Stabilizing an Unstable Economy — Yale University PressFinancial instability hypothesis — SIGMA fragility / Minsky phase engine
- Hurst (1951)Long-Term Storage Capacity of Reservoirs — Transactions of the American Society of Civil Engineers, 116Long-term memory in time series (H exponent) — SIGMA trend persistence layer
- Hawkes (1971)Spectra of Some Self-Exciting and Mutually Exciting Point Processes — Biometrika 58(1)Self-exciting point processes — SIGMA volatility clustering / EWS module