Lead-Lag Relationships in Financial Markets: A Comparison of Multiple Clustering Algorithms

By Ruichen Deng, Yichi Zhang

Published 2026-08-25

Everscope rating
1130.8
Relevance to quantitative trading
8 / 10
Implementation complexity
6 / 10
Reproducibility
3 / 5

About this paper

Methodology: Multi-algorithm clustering comparison for lead-lag detection. Problem types: Clustering, Time Series Forecasting, Pairs Trading, Algorithmic Execution, Risk Management, Unsupervised Learning.

arXiv:2608.24703 ยท Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.