Banking Sector Analysis
India's banking sector registers a SIGMA risk score of 60.9/100 placing it in the ACCUMULATION regime, indicating moderate conditions with potential vulnerability under macro stress.
The SIGMA Engine v5.0 derives this score from eight deterministic analytical layers: metabolic lifecycle entropy (β=1.026, biological age 83 months), structural fragility (Minsky phase: hedge), NLP narrative divergence (0.0%), network contagion (R₀=0.728, percolation intact), and predictive signals (CSD=20.0, Hawkes λ=0.1000).
Regime probability distribution as of 2026-06-10: stable 14.2% / accumulation 27.5% / critical 28.6% / collapse 29.7%. The Hurst exponent of 0.718 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: 29 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.