This paper examines the relationship between daily price volatility and trading activity one year before and after a change in the size of selected futures contracts. The following three contracts are included in this study: the Stock Price Index traded on the Sydney Futures Exchange (SFE),...

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 paper estimates the impact of the debt tax shield, cash dividends and imputation tax credits on the prices of Australian stock index futures. Relative to futures payoffs, the cost of financing the set of shares of the underlying index provides a mild tax shield, cash dividends are...

Seasonality has long been documented in the context of equity market returns, but only recently has been tested for in the residential real estate market. This paper argues, in line with the previous research in this area, that no month should, on average, demonstrate superior (or inferior)...

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...

Prior research has examined whether Twitter information predicts stock returns and volatility. We study the causality between Twitter information, stock-realized volatility, and option-implied volatility using a panel vector autoregressive model. Using panel data on S&P/ASX 200 stocks, we reveal...

It is found that insiders are more likely to trade on high volume days, which indicates an effort to hide their trades. Further, insider trading raises the number of days with abnormally high trading volume only slightly, again indicating that insiders are avoiding attracting attention. No...

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....