Daily Cross-Sectional Testing of Equity Factors and Their Decay
Summary
The document presents a framework for testing stock-selection factors. It evaluates each trading day’s stock factor values against returns over subsequent holding periods, aiming to show how predictive information changes as the holding period grows. Daily evaluation also provides more observations and supports closer monitoring of portfolio factor exposure than tests based only on monthly rebalancing.
It proposes two complementary checks: rank information coefficients from cross-sectional regressions, and portfolios formed by sorting stocks into factor groups. Group performance is assessed with cumulative returns, information ratios, and maximum drawdown. The framework is applied in batch to nine factor categories, including size, valuation, profitability, growth, quality, momentum, volatility, liquidity, and risk-return measures. Reported comparisons cover broad-market, large-cap, and mid-cap Chinese equity universes, with industry and size neutralization. The supplied text describes the evaluation design and report contents, but does not include factor-specific results or enough detail to assess implementation choices such as transaction costs.
Key ideas
- Testing factors at daily intervals can reveal how their return-predictive information decays across holding periods.
- Cross-sectional rank information coefficients measure the relationship between factor values and future returns.
- Sorting stocks into factor groups offers a portfolio-based complement to correlation measures.
- Cumulative return, information ratio, and maximum drawdown help compare group portfolios.
- Industry and size neutralization can help assess factor behavior apart from those exposures.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.