High-Frequency Realized Skewness and Downside Risk for Sector Rotation

Summary

This research summary examines whether intraday data can improve sector-rotation signals, focusing on realized skewness and the share of volatility attributable to downside moves. It describes constructing these measures from high-frequency observations and testing their ability to rank first- and second-level industry indexes. The reported first-level results show a negative association for realized skewness and a positive association for downside-volatility share, as measured by average information coefficients and the proportion of signs in the expected direction.

The summary also reports comparisons across one-, two-, five-, and ten-minute inputs, with higher sampling frequency associated with stronger rotation results, and across holding or rebalancing intervals, with roughly monthly rebalancing described as stronger than the tested alternatives. These are backtest findings as summarized by the source; the underlying report and detailed methodology are not included here, limiting assessment of sample construction, costs, robustness, and statistical significance. It flags systemic market, liquidity, and policy risks and does not establish that the findings will persist.

Key ideas

• The study tests realized skewness and downside-volatility share as high-frequency sector-rotation factors.
• Realized skewness is reported to have a negative information-coefficient relationship for industry indexes.
• Downside-volatility share is reported to have a positive relationship with subsequent industry performance.
• The reported tests associate higher-frequency input data with stronger factor results.
• The summary says performance was stronger with rebalancing near a monthly interval, while noting market, liquidity, and policy risks.

Tags

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