Banking Sector Analysis
China's banking sector registers a SIGMA risk score of 70.7/100 placing it in the ACCUMULATION regime, indicating elevated stress requiring active monitoring.
The SIGMA Engine v5.0 derives this score from eight deterministic analytical layers: metabolic lifecycle entropy (β=1.008, biological age 172 months), structural fragility (Minsky phase: hedge), NLP narrative divergence (0.0%), network contagion (R₀=1.544, percolation intact), and predictive signals (CSD=48.0, Hawkes λ=0.1000).
Regime probability distribution as of 2026-10-13: stable 23.4% / accumulation 25.2% / critical 27.6% / collapse 23.8%. The Hurst exponent of 0.750 indicates strong trend persistence — risk trajectory statistically likely to deepen.
Active risk signals driving the banking sector risk score:
Based on Markov chain transition probability from current ACCUMULATION regime. Kairos arbitrage window: 21 days.
Methodology: SIGMA scores are deterministic (identical inputs = identical outputs). Data sources: Federal Reserve FRED, GDELT geopolitical entropy, GLEIF corporate ownership network, Stooq price data. Not financial advice — for informational and research purposes only. Verify predictions: /predictions.