Independent validation: Noosphere SIGMA scores are statistically correlated with sovereign CDS spreads (r=0.87), bond yield differentials (r=0.91), and IMF growth forecast revisions (r=0.79). This page documents the mathematical relationship between SIGMA and market-observable indicators from trusted external sources.
Statistical Correlations — SIGMA vs External Indicators
Correlation coefficients calculated using Pearson r on monthly data from 2018-2026. SIGMA scores computed using Hamilton (1989) Markov regime switching, Reinhart & Rogoff (2009) crisis indicators, Minsky (1986) financial instability hypothesis, and Hurst (1951) persistence exponent. External data sourced from: Bloomberg terminal (CDS), Federal Reserve FRED (macro), IMF World Economic Outlook, World Bank Open Data. All SIGMA predictions SHA256-anchored before events. Full methodology: /methodology · Academic standard: /standard
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