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...

This study exploits a unique dataset to determine the relative contribution to price discovery of order flow originating from geographically dispersed ASX servers. It is found that transactions of traders on the Sydney, Chicago and London servers have a significant impact on price volatility....

This study exploits a unique dataset to determine the relative contribution to price discovery of order flow originating from geographically dispersed ASX servers. It is found that the transactions of traders on the Sydney, Chicago and London servers have a significant impact on price...

We develop a model of the choice of trade size by an illegal insider. The model recognises that insiders respond to both the expected gains and costs associated with their crime, and choose a trade size which maximises the expected utility of wealth associated with the trade. The model predicts...

This study provides new evidence regarding the effect of limit order book disclosure on trading behavior. The natural experiment affected by the Sydney Futures Exchange in January 2001, when it increased limit order book disclosure from depth at the best bid and ask prices to depth at the three...

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...

The Volume-Synchronized Probability of Informed Trading (VPIN) metric is proposed by Easley et al. (2011, 2012) as a real-time measure of order flow toxicity in an electronic trading market. This paper examines the performance of VPIN around inventory announcements and price jumps in crude oil...

The model of rational decision-making in most of economics and statistics is expected utility theory (EU) axiomatised by von Neumann and Morgenstern, Savage and others. This is less the case, however, in financial economics and mathematical finance, where investment decisions are commonly based...