This study examines the impact of corporate earnings announcements on trading activity and speed of price adjustment, analyzing algorithmic and non–algorithmic trades during the immediate period pre– and post– corporate earnings announcements. We confirm that algorithms react faster and...

The effectiveness of liquidity provision by HFT firms via the limit order book is an unexplored but central policy issue. Using a unique dataset consisting of limit order placement, execution, and cancellations on Nasdaq, we find that HFT firms do not cancel orders more frequently than non-HFT...

We study the intra-day impact of algorithmic trading on the futures market to increase our understanding of algorithmic trading and its role in the price formation process. First, we find that algorithmic trading provides liquidity when the spread is wide and that algorithms enter the market at...

We examine the impact of trading on markets partially exempt from National Market System requirements (‘dark venues') on equity market quality. We find evidence consistent with the notion that dark venues rely on their special features to segregate order flow based on asymmetric information...