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标题: "The Triadic Stress Index in Financial Markets"
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## Physics > Physics and Society

## Title:The Triadic Stress Index in Financial Markets

Authors:[Alberto Acedo](https://arxiv.org/search/physics?searchtype=author&query=Acedo,+A)

[View PDF](https://arxiv.org/pdf/2608.10788) [HTML (experimental)](https://arxiv.org/html/2608.10788v1)

> Abstract:The Triadic Stress Index (TSI) takes a network index whose four factors were first observed in soil microbiome co-occurrence networks and applies it, without alteration, to the correlation network of financial assets.  
> We test it on five markets spanning 2006-2026 (equities including banking crises and the AI sector, cryptocurrencies, commodities, foreign exchange and sovereign debt), against three independent definitions of a crisis episode, at a fixed alarm budget, out of sample, with block-bootstrap intervals and a Holm correction across the family of tests. The benchmarks are the Absorption Ratio, the industry standard used by MSCI and central banks; the effective rank and the Vendi score, the sharpest spectral measures available; Ollivier-Ricci curvature; and the global and local balance indices of signed correlation networks.  
> Three comparisons favour the index. It carries a per-node decomposition, diag(A^3), naming which asset is carrying the concentration with no parameter to select, and scores 0.97-0.99 against 0.33-0.84 for the only published per-node alternative, whereas spectral attribution must first choose how many components to read and collapses under a standard but wrong choice. Its alarms are the cleanest of anything tested, 4.0% of them with no matching episode against 14.7% for the effective rank and roughly 59% for the Absorption Ratio. And it beats the Absorption Ratio on detection by 0.273 in F1 out of sample, p<0.0005.  
> The remaining comparisons are ties. Against the effective rank and the Vendi score the index ties in every scheme and both samples, and the margin over the Absorption Ratio narrows under the strictest labelling. On real matrices the far simpler node degree reproduces the attribution. A lead-lag analysis puts the peak cross-correlation at zero lag: this is a coincident state index, not a forecast.

| Comments: |  |
| --- | --- |
| Subjects: | Physics and Society (physics.soc-ph); Risk Management (q-fin.RM); Statistical Finance (q-fin.ST) |
| Cite as: | [arXiv:2608.10788](https://arxiv.org/abs/2608.10788) \[physics.soc-ph\] |
|  | (or [arXiv:2608.10788v1](https://arxiv.org/abs/2608.10788v1) \[physics.soc-ph\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.10788](https://doi.org/10.48550/arXiv.2608.10788) |

## Submission history

From: Alberto Acedo \[[view email](https://arxiv.org/show-email/b315cd92/2608.10788)\]  
**\[v1\]** Tue, 11 Aug 2026 10:47:57 UTC (54 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.10788) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
