Order Flow Imbalance and Short-Horizon Price Discovery
This paper examines the role of order flow imbalance in short-horizon price discovery using granular limit order book data from major equity venues. We propose a decomposition framework that separates transient from permanent price impact, identifying the information content of each component. The analysis reveals systematic patterns in how informed and uninformed order flow interact with prevailing queue depth and spread conditions.
- Decomposition of price impact into transient and permanent components using order book data
- Characterisation of how queue depth and spread conditions modulate impact magnitudes
- Evidence on the information content of imbalance at different order book levels