Pairs Trading Using the Hurst Exponent of Product

Summary

The episode explores a novel pairs‑trading technique that uses the Hurst exponent of the product (HP) to gauge the co‑movement of two asset price series. It explains how HP differentiates between low, moderate, and high correlation—values near 0.5 indicate weak linkage, while values approaching 1 signal strong dependence—and how it can also capture cointegration and non‑linear relationships such as copulas. The hosts discuss research showing that HP‑based pair selection outperforms traditional correlation‑based methods in statistical arbitrage, delivering higher returns. The guest, a quantitative finance researcher, highlights the practical advantages of weighting larger price increments, making HP especially suited for financial time series.