Testing Intraday Trading Factors Across Rebalance Horizons and Universes
Summary
This research summary examines high-frequency equity factors built from minute bars, tick data, and transaction-level records. The factors capture intraday skewness, downside volatility, reversals, late-session trading, price-volume relationships, large-order price impact, and trade-order correlations. Daily measures are aggregated through rolling averages or cumulative values. Reported tests compare monthly and weekly rebalancing across the broad market and major Chinese stock universes, with some factors remaining useful after orthogonalization and factor combinations showing improved stability.
The summary reports positive average rank information coefficients and long-short spreads for many factors, but the strongest signals vary by horizon and universe; short-side contribution is often larger. It also finds that external variables explain factor returns poorly and identifies declines among the weakest-performing stocks as a relevant timing variable. These are reported research findings, not guarantees of future returns. The source flags factor decay and liquidity as risks, and the available summary does not provide enough detail to assess costs or full out-of-sample robustness.
Key ideas
- The study constructs intraday factors from minute, tick, and transaction-level data.
- Factor values aggregate daily intraday measures using averages or cumulative values.
- Factor performance varies by rebalancing frequency and stock universe.
- Several factors show stronger short-side contribution, while combinations are reported to improve stability.
- Factor decay and liquidity are explicit risks, and the summary does not establish future performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.