The Physical Limits of Compute and Financial Risk Integration Across Seven Infrastructure Layers

Artificial intelligence links seven infrastructure layers into a persistent, uneven equity-risk system. Using 33 firms, a fixed 28-stock comparison and strictly lagged factor adjustment through August 2026, return connectedness rises from 6.34% to 20.06% and downside connectedness from 5.27% to 21.02%. Both increases survive a six-test correction; the residual diversification ratio falls by 16.3%. A traded-factor extension through 23 October retains higher connectivity, with corrected evidence strongest for downside risk. Grid equipment dominates outward variance attribution; nuclear supply and gas remain peripheral. Five supplier–buyer power-agreement announcements and fourteen eligible tariff decisions establish observable contractual links without a uniform increase in residual dependence. Power agreements validate investment while reallocating price, volume, completion and exit exposures. Financial integration therefore spans industry boundaries, while physical links and equity covariance measure different objects. Risk management must assess the infrastructure system and its contractual risk bearers jointly.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23644876
Primary Topic
Financial Risk and Volatility Modeling
Type
preprint
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preprint

The Physical Limits of Compute and Financial Risk Integration Across Seven Infrastructure Layers

Fuli Yang, Shiyu Lin, Yu Liu
1 links
Zenodo (CERN European Organization for Nuclear Research)
Financial Risk and Volatility Modeling
preprint

The Physical Limits of Compute and Financial Risk Integration Across Seven Infrastructure Layers

Fuli Yang, Shiyu Lin, Yu Liu
preprint en

Abstract

Artificial intelligence links seven infrastructure layers into a persistent, uneven equity-risk system. Using 33 firms, a fixed 28-stock comparison and strictly lagged factor adjustment through August 2026, return connectedness rises from 6.34% to 20.06% and downside connectedness from 5.27% to 21.02%. Both increases survive a six-test correction; the residual diversification ratio falls by 16.3%. A traded-factor extension through 23 October retains higher connectivity, with corrected evidence strongest for downside risk. Grid equipment dominates outward variance attribution; nuclear supply and gas remain peripheral. Five supplier–buyer power-agreement announcements and fourteen eligible tariff decisions establish observable contractual links without a uniform increase in residual dependence. Power agreements validate investment while reallocating price, volume, completion and exit exposures. Financial integration therefore spans industry boundaries, while physical links and equity covariance measure different objects. Risk management must assess the infrastructure system and its contractual risk bearers jointly.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Financial Risk and Volatility Modeling
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