A Volatility and Turnover Classifier for a Reversal Factor

Summary

This factor-replication note divides stocks into two behavioral groups. “Team” stocks are described as low in both volatility and turnover: after rising, they are expected to attract continuation expectations, become overbought, and then retreat. “Coin” stocks are described as low-volatility but high-turnover: after rising, they are expected to face expectations of a decline, become oversold, and then catch up. The proposed signal is framed as a reversal factor, with volatility and turnover classified relative to cross-sectional averages.

The note says the construction is evaluated separately for intraday, daytime, and overnight components. It reports long-short turnover of 0.5, a Sharpe ratio of -3.47, an information coefficient of 0.06, and an information ratio of -0.45. These mixed metrics, particularly the negative Sharpe and information ratio, provide limited support for the proposed effect. The short note does not explain the sample, portfolio formation, or testing details, so the results are difficult to assess independently.

Key ideas

• The proposed factor uses volatility and turnover to classify stocks into two behavioral groups.
• The strategy interprets price rises differently across the two groups and builds a reversal signal.
• Volatility and turnover are judged against cross-sectional averages.
• The document reports separate intraday, daytime, and overnight calculations.
• Reported performance includes a negative long-short Sharpe ratio and information ratio.

Tags

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