This thesis focusses on econometric applications requiring multivariate numerical integration. Models that attempt to capture real world complexities are typically nonlinear and display many unobservable factors. These characteristics imply that the likelihood function of these models contain...

This paper is concerned with the Bayesian estimation and comparison of flexible, high dimensional multivariate time series models with time varying correlations. The model proposed and considered here combines features of the classical factor model with that of the heavy tailed univariate...

In this dissertation we propose a new model which captures observed features of asset prices. The model reproduces the skewness and fat tails of asset returns by introducing a discretized variance gamma process as the driving innovation process, in addition to a double gamma process to reflect...

In this thesis two contributions are made to the area of mathematical finance. First, in order to explain the non-trivial skewness and kurtosis that is observed in the time series data of constant maturity swap (CMS) rates, we employ the pure jump Levy processes, i.e. in particular Variance...

The Australian stockbroking sector has been at the forefront of integrating information systems (IS) in its daily operations. Trade and clearance account for a large percentage of processes undertaken in a brokerage house. Upon integration of IS, the trade and clearance processes of the sector...