20251210-国金证券-高频因子跟踪_上周价量背离因子表现优异_16页_1mb

Summary of Financial Engineering Report

High-Frequency Factor Performance

• Price Interval Factor: Measures investor expectations through intra-day price range trading activity. It exhibits strong predictive power, with a high excess return of 4.98% for the year to date. However, recent performance shows slight negative returns (-0.51% last week and -0.51% over the past month), indicating some volatility.

• Quantity-Price Disparity Factor: Assesses the correlation between price and volume, suggesting that low correlation may imply higher future upside. It has performed well, with a 4.93% excess return this year, and stable returns recently (+0.37% last week and +0.37% over the past month).

• Regret Avoidance Factor: Reflects investor behavioral biases related to avoiding regret upon selling stocks. It has underperformed this year with a -1.00% excess return, though it shows consistent predictive ability in sample-out-of-sample tests.

• Slope Curvature Factor: Evaluates order book dynamics to forecast returns but has lagged this year with a -6.11% excess return and generally stable long-term performance since 2016.

Index Enhancement Strategy Performance

• High-Frequency "Gold" Combination for CSI 1000: By combining high-frequency factors equally and applying industry-size neutralization, this strategy achieved a 10.11% annualized excess return and a maximum drawdown of 6.04%. Performance has been relatively stable this year with a 7.16% excess return to date, but showed slight gains recently (+0.13% last week and +0.13% over the past month).

• High-Frequency & Fundamental Resonance Combination for CSI 1000: Integrating high-frequency factors with fundamental ones resulted in improved performance, including a 14.21% annualized excess return and a reduced maximum drawdown of 4.52%. This combination showed better resilience this year with a 7.03% excess return to date and stable recent gains (+0.35% last week and +0.35% over the past month).