The life and death of the Australian permanent building societies

Throughout the nineteenth and twentieth centuries permanent building societies have been important providers of housing finance in Australia. Despite their long history Australian building societies have been disappearing at a steady rate since the early 1980s as they have converted into banks or become involved in mergers. The purpose of this paper is to give a background account of the history of Australian building societies and put forward explanations for their past popularity and more recent disappearance from Australian housing finance markets.     

Venture Capitalists, Business Angels, and Performance of Entrepreneurial IPOs in the UK and France

Abstract:  Using a unique sample of 444 entrepreneurial IPOs in the UK and France, this paper analyses the investment patterns and the stock-market performance effects of two types of early stage investors: venture capitalists (VCs) and business angels (BAs). Extending existing research, we identify important endogeneity and institutional effects. Our findings indicate that UK IPOs have a higher retained ownership and lower participation ratio by BAs, but a lower retained ownership and participation ratio by VCs than in France. BA and VC investments are substitutes, and they are endogenously determined by a number of firm- and founder-related factors, such as founder ownership and external board 'interlocks', and underwriter reputation. UK VCs are effective third-party certifying agents who reduce underpricing in UK IPOs, whereas in French IPOs they increase it by appearing to engage in grandstanding. This certification effect is more significant in UK IPOs involving both high VC and BA ownership. Finally, underpricing increases with VC participation ratio, where the higher exit of VCs seems to increase the risk premium required by outside investors, in particular in the UK.     

A framework for evaluating CDT practice with respect to the ethos of CDT

The increasing pressures of account-ability faced by schools have been the application of various adaptations of self-evaluation methods. However, charges of lack of objectivity (Simons in Skilbeck, 1984 p. 52) have been directed at such responses, and these were fuelled by observations that teachers lack the skills and understanding to undertake evaluation (Mathias, 1983).These pressures are intensified for Craft, Design & Technology as a result of its youth and the nature and brief existence of the subject. As a curriculum area it is different from its forerunners, yet most CDT teachers were not purposefully educated to teach it. The centralist nature of its introduction together with a misunderstanding of CDT and the skills demanded produced varying degrees of support and interpretation. This was compounded by the lack of CDT research and literature (Toft in Cross & McCormack, 1987 p.298).     

Predicting future purchases with the Poisson log-normal model

The negative binomial distribution (NBD) has been widely used in marketing for modeling purchase frequency counts, particularly in packaged goods contexts. A key managerially relevant use of this model is Conditional Trend Analysis (CTA)—a method of benchmarking future sales utilizing the NBD conditional expectation. CTA allows brand managers to identify whether the sales change in a second period is accounted for by previous non-, light, or heavy buyers of the brand. Although a useful tool, the conditional prediction of the NBD suffers from a bias: it under predicts what the period-one non-buyer class will do in period two and over predicts the sales contribution of existing buyers. In addition, the NBD's assumption of a gamma-distributed mean purchase rate lacks theoretical support—it is not possible to explain why a gamma distribution should hold. This paper therefore proposes an alternative model using a log-normal distribution in place of the gamma distribution, hence creating a Poisson log-normal (PLN) distribution. The PLN distribution has a stronger theoretical grounding than the NBD as it has a natural interpretation relying on the central limit theorem. Empirical analysis of brands in multiple categories shows that the PLN distribution gives better predictions than the NBD.