Using proprietary Australian Tax Office (ATO) data, we document the size, asset allocation and expenses for a sample of 209,420 Australian self-managed superannuation funds (SMSFs) for the three years to June 2010. Two recent Government reviews have highlighted a lack of basic knowledge of the...

Using proprietary data, this study examines auditor industry specialisation, professional brand effects and non-audit services (NAS) in the self-managed superannuation fund (SMSF) sector, the fastest growing and largest segment of the Australian $1.75 trillion retirement savings industry. We...

The number of self-managed superannuation funds (SMSFs) has grown at more than 5% p.a. over the past five years. The net growth rate consists of 7% new SMSFs and 2% closures. More than 570,000 SMSFs now serve over one million members but little is known about the experiences of members. We...

Self-managed superannuation funds (SMSFs) – small retirement savings funds with four or fewer members – now manage almost one third of retirement savings in Australia, and serve over one million members. The number of SMSFs has increased to more than half a million in two decades. Yet little...

Three classes of models for time series on acyclic directed graphs are considered. At first a review of tree-structured models constructed from a nested partitioning of the observation interval is given. This nested partitioning leads to several resolution scales. The concept of mass balance...

This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter. Moreover, zero-inflated models in which overdispersion is assumed to be...

The internal-ratings based Basel II approach increases the need for the development of more realistic default probability models. In this paper we follow the approach taken in McNeil and Wendin (2006) by constructing generalized linear mixed models for estimating default probabilities from...

In this paper we present a Gibbs sampler for a Poisson model including spatial effects. Frühwirth-Schnatter and Wagner (2004b) show that by data augmentation via the introduction of two sequences of latent variables a Poisson regression model can be transformed into a normal linear model. We...

We propose a new class of state space models for longitudinal discrete response data where the observation equation is specified in an additive form involving both deterministic and random linear predictors. These models allow us to explicitly address the effects of trend, seasonal or other...