Portfolio Optimization under Dynamic Rebalancing via Topological Data Analysis and News Sentiments

By Divyanee Garg

Published 2026-07-23

Everscope rating

1423.4

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: TDA-based Agglomerative Clustering with Dynamic Rebalancing Mean-Variance Optimization. Problem types: Portfolio Optimization, Clustering, Natural Language Processing, Optimization, Risk Management, Dimensionality Reduction.

arXiv:2607.21170 · Paper rankings

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