Subsequent to the influential paper of [Chan, K.C., Karolyi, G.A., Longstaff, F.A., Sanders, A.B., 1992. An empirical comparison of alternative models of the short-term interest rate. Journal of Finance 47, 1209-1227], the generalised method of moments (GMM) has been a popular technique for...

This paper investigates the reasons that lead to modification of auditors' opinions. We revisit the conclusions of prior US-based research on whether a modification highlights likely earnings management activities. Extending this research, we consider an alternate explanation that managers...

This study proposes an alternative approach for examining volatility linkages between Standard & Poor's 500, Eurodollar futures and 30 year Treasury Bond futures markets using implied volatility from the three markets. Simple correlation analysis between implied volatilities in the three markets...

This paper examines evidence of predictability in Australian equities using both statistical and economic metrics of significance. A probit-based predictive model is used to forecast the probability that the 1 month ahead excess market return will be positive. Funds under management are then...

This paper extends the existing literature by analysing the dual impact of changes in the interest rate and interest rate volatility on the distribution of Australian financial sector stock returns. In addition, a multivariate GARCH-M model is used to analyse the impact of deregulation on the...

This paper extends the existing literature into the relationship between beta stability and the length of the estimation period. Specifically of our analysis in the use of powerful new econometrics tests and their application to non-US data, namely, Australian monthly stock returns.

We study the market reaction of Australian firms issuing management earnings forecasts (MEF). Specifically, we measure and distinguish between the immediate and post-earnings announcement impact of MEF. Our analysis is conditioned on growth/value characteristics and news surprise and we test for...

We study information flows between earnings and forecasts, using suitably adapted Granger causality tests. This approach complements existing cross-sectional studies by abstracting from stock market reactions to information, and focussing on dynamic interactions between information flows...