Intrinsic Geometry of the Stock Market from Graph Ricci Flow

Fuente: arXiv
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Main Author: Srinivasan, Bhargavi
Format: Preprint
Published: 2025
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author Srinivasan, Bhargavi
author_facet Srinivasan, Bhargavi
contents We use the discrete Ollivier-Ricci graph curvature with Ricci flow to examine the intrinsic geometry of financial markets through the empirical correlation graph of the NASDAQ 100 index. Our main result is the development of a technique to perform surgery on the neckpinch singularities that form during the Ricci flow of the empirical graph, using the behavior and the lower bound of curvature of the fully connected graph as a starting point. We construct an algorithm that uses the curvature generated by intrinsic geometric flow of the graph to detect hidden hierarchies, community behavior, and clustering in financial markets despite the underlying challenges posed by a highly connected geometry.
format Preprint
id arxiv_https___arxiv_org_abs_2510_15942
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Intrinsic Geometry of the Stock Market from Graph Ricci Flow
Srinivasan, Bhargavi
Statistical Finance
We use the discrete Ollivier-Ricci graph curvature with Ricci flow to examine the intrinsic geometry of financial markets through the empirical correlation graph of the NASDAQ 100 index. Our main result is the development of a technique to perform surgery on the neckpinch singularities that form during the Ricci flow of the empirical graph, using the behavior and the lower bound of curvature of the fully connected graph as a starting point. We construct an algorithm that uses the curvature generated by intrinsic geometric flow of the graph to detect hidden hierarchies, community behavior, and clustering in financial markets despite the underlying challenges posed by a highly connected geometry.
title Intrinsic Geometry of the Stock Market from Graph Ricci Flow
topic Statistical Finance
url https://arxiv.org/abs/2510.15942