Tootfinder

Finding Core Balanced Modules in Statistically Validated Stock Networks
Huan Qing, Xiaofei Xu
https://arxiv.org/abs/2508.04970 https://arxiv.org/pdf/2508.0…

Finding Core Balanced Modules in Statistically Validated Stock Networks
Traditional threshold-based stock networks suffer from subjective parameter selection and inherent limitations: they constrain relationships to binary representations, failing to capture both correlation strength and negative dependencies. To address this, we introduce statistically validated correlation networks that retain only statistically significant correlations via a rigorous t-test of Pearson coefficients. We then propose a novel structure termed the largest strong-correlation balanced …