Decomposing High-Frequency Trading Alpha into Opportunity and Trading Costs
Summary
The paper develops a framework for assessing high-frequency trading returns by separating four contributors: available price opportunity, the fraction captured by a strategy, effective spread paid or earned, and liquidity-provider rebates. It compares three ways to enter and exit positions: taking liquidity on both legs, making liquidity on entry and taking on exit, or making liquidity on both legs. Passive execution may earn spread and rebates, but waiting can reduce the captured opportunity and increase exposure to adverse selection.
A worked illustration and an empirical analysis using Nasdaq order-book events for AAPL show how estimated returns vary with holding period, capture, and execution style. The examples indicate that paying the spread can overwhelm short-horizon opportunity, while passive approaches can appear attractive if orders fill quickly. The authors caution that queue position, latency, fill selection, and adverse moves can undermine these estimates; the simple opportunity measure does not capture all execution risks. The framework is an attribution tool rather than a guarantee of profitability, and its conclusions depend on market structure and the assumptions used.
Key ideas
- Expected HFT returns depend on available price movement, the fraction captured, effective spread, and rebates.
- Taking liquidity pays the spread, while passive orders may earn spread and liquidity rebates.
- Passive strategies can capture less price opportunity because execution may be delayed or adversely selected.
- Order-book evidence illustrates how estimated returns change across execution styles and holding periods.
- Latency, queue position, and adverse selection can make theoretical passive-trading returns unreliable.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.