Real Estate & Housing Market Risk
India's real estate and property market generates a SIGMA score of 60.3/100 (ACCUMULATION regime). Real estate risk feeds systemic risk through mortgage credit quality, bank collateral values, household net worth destruction, and commercial real estate loan book stress.
The SIGMA Engine v5.0 derives this score from eight deterministic analytical layers: metabolic lifecycle entropy (β=0.872, biological age 164 months), structural fragility (Minsky phase: hedge), NLP narrative divergence (0.0%), network contagion (R₀=0.713, percolation intact), and predictive signals (CSD=20.0, Hawkes λ=0.1000).
Regime probability distribution as of 2026-10-13: stable 28.0% / accumulation 25.2% / critical 25.9% / collapse 21.0%. The Hurst exponent of 0.718 indicates strong trend persistence — risk trajectory statistically likely to deepen.
Active risk signals driving the real estate bubble risk score:
Based on Markov chain transition probability from current ACCUMULATION regime. Kairos arbitrage window: 30 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.