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hilbert-huang-transform

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chirindaopensource / early_warning_signals_political_risk_stablecoin_markets

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End-to-End Python implementation of Mukhia et al.'s (2025) methodology for detecting political risk transmission in stablecoin markets. Implements dynamic programming for endogenous breakpoint detection, Empirical Mode Decomposition, Cholesky-identified structural shocks, and AAFT surrogate validation to quantify political uncertainty spillovers.

python data-science signal-processing ethereum cryptocurrency econometrics financial-analysis risk-management time-series-analysis anomaly-detection market-microstructure vector-autoregression blockchain-analytics stablecoin econophysics defi early-warning-system political-risk hilbert-huang-transform structural-breaks
  • Updated Dec 5, 2025
  • Jupyter Notebook

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