Using comprehensive electronic data collected directly from NASDAQ systems, we assess the impact of changes in electronic message traffic on predicting short-term changes in prices, spreads and quoted depth levels. We document evidence that message traffic at, and nearby, the inside quotes...

We explore whether silent information (electronic information flows) affects future price, spread and quoted depth levels in the Nasdaq Stock Market. Controlling for the time-series properties of silent information, past price, volume, electronic communications network (ECN) volume, time-of-day...

Microstructure literature suggests common factors in liquidity measures. However, research on the intraday behaviour of liquidity commonality is scant. Because of higher information and inventory holding costs during the first and last half-hours of trading, we argue that liquidity covariations...

Anomalies and stock returns have been studied thoroughly in the realm of asset pricing. This work is motivated by the lack of such studies on liquidity co-variation patterns. Earlier research documents market-wide commonality in liquidity. However, empirical work on the temporal behaviour of...

Specialists constantly update information based on the price movements of the stocks that trade nearby. The study argues that this process of changing quotes to reflect floor information may lead to contemporaneous co-variation in liquidity measures. The evidence indicates that individual stock...