Using Heterogeneous Volatility as a Stock Selection Factor

Summary

This analysis proposes heterogeneous volatility as an alternative to the standard volatility factor in multi-factor equity selection. Standard volatility is the dispersion of a stock’s returns. The proposed measure instead captures the volatility of returns left after cross-sectional factor values explain the common component. The document distinguishes it from idiosyncratic volatility, which it describes as based on time-series regression using factor returns.

The reported comparison finds both measures negatively associated with subsequent stock returns, while heterogeneous volatility has stronger portfolio monotonicity, information coefficient, and information ratio. The study also reports a long-short annualized return of 25.83% with a 12.82% maximum drawdown, and says orthogonalized comparisons suggest the new measure contains information beyond standard volatility. These are results from the document’s sample and methodology; it does not provide enough detail here to assess robustness, implementation choices, or whether the findings generalize to other markets and periods.

Key ideas

• Heterogeneous volatility measures the variability of returns attributed to heterogeneous factors.
• The proposed calculation uses cross-sectional regression on factor values, unlike the described time-series approach for idiosyncratic volatility.
• Both volatility measures are reported to correlate negatively with subsequent stock returns.
• The study reports stronger selection statistics for heterogeneous volatility in its sample.
• The two measures are highly correlated, but orthogonalization suggests heterogeneous volatility may add information.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.