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...

This study examines the impact of trade characteristics on stock return volatility. Using a sample of transaction data from the Australian Stock Exchange, the trading frequency of medium sized trades is found to have the greatest impact on stock return volatility. The result lends support to the...

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...

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...