2026 Risk Scenario Analysis
Germany's SIGMA Engine 2026 outlook starts from a current score of 47.7/100 (STABLE regime). The annual outlook integrates Markov chain transition probabilities, Kairos window timing, structural trend extrapolation, and scenario analysis across base case, stress case, and tail risk scenarios.
The SIGMA Engine v5.0 derives this score from eight deterministic analytical layers: metabolic lifecycle entropy (β=0.811, biological age 287 months), structural fragility (Minsky phase: speculative), NLP narrative divergence (0.0%), network contagion (R₀=1.579, percolation intact), and predictive signals (CSD=50.0, Hawkes λ=0.1000).
Regime probability distribution as of 2026-06-10: stable 31.5% / accumulation 24.3% / critical 24.9% / collapse 19.3%. The Hurst exponent of 0.671 indicates strong trend persistence — risk trajectory statistically likely to deepen.
Active risk signals driving the 2026 risk outlook score:
Based on Markov chain transition probability from current STABLE regime. Kairos arbitrage window: 31 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.