Pairs Trading Using a Novel Graphical Matching Approach

By Khizar Qureshi, Tauhid Zaman

Rating

1367
Battle Count: 117

Relevance

9/10
Highly relevant to pairs trading and portfolio optimization in quantitative finance, offering a novel approach to reduce portfolio variance and improve risk-adjusted returns.

Implementation Complexity

6/10
Requires understanding of cointegration, graph theory, and implementation of maximum weight matching algorithms. However, the core concept is well-explained and code is provided.

Reproducibility

4/5
The paper provides detailed methodology and theoretical analysis. Code is available on GitHub, enhancing reproducibility.

About this paper

Methodology: Graphical Matching for Pairs Selection. Problem types: Pairs Trading, Portfolio Optimization, Risk Management.

The interactive Everscope explorer (charts, battles, favorites) loads below.