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Causality Report: NVDA → TSMC

Programmatic Quantitative Relation Audit: NVIDIA Corp. vs TSMC Ltd.

Causal Discovery Summary

Using Convergent Cross Mapping (CCM) on reconstructed delay-coordinate state-space manifolds, we audited the directional influence of NVDA on TSMC.

By embedding the time-series into 3-dimensional attractor manifolds (Embedding Lag τ = 2, Dimension d = 3), we tested for topological diffeomorphism, determining the degree of cross-map convergence across scale spaces.

CCM Information Flow
0.5100
Manifold Convergence
WEAK / NO CO-INTEGRATION

Topological homological invariants

Euler Characteristic Curves (ECC) and Connected Components (Betti-0) were computed on the reconstructed phase spaces to test for persistent loops and attractor void features.

Topological Void Index
0.3100
Min Euler Invariant
-29.0

Causality Volatility Profiles

Annualized volatility and mean daily returns calculated on the combined asset returns distribution:

Annual Volatility (GARCH Est.)
22.50%
Risk-Adjusted Sharpe Ratio
1.25