Private School Usage in Australia 1975–2010: Evidence from the Household Expenditure Surveys

The use of private schools in Australia has increased greatly since the 1970s. This article shows that most of the growth has been concentrated in attendance at low-fee schools, while the growth in using high-fee schools has been modest. Furthermore, the increase has occurred for households at all income levels, for both single-parent and two-parent households, for households of all sizes, and irrespective of whether the household reference person is born in Australia or elsewhere. However, increasing income and changes in household composition can account only for a small part of the trend.     

Size and information revelation in securities trading

We examine differences in information content between order submission sizes and trade sizes by U.S. equity traders. Increasing (decreasing) order submission (trade) size is reflective of information. The result suggests that better-informed traders want to trade in a large size, but that they engage in stealth trading practices or break larger orders into smaller sizes in order to conceal information. While prior studies tend to narrowly focus on trade executions at the market-centre level, our findings indicate that order submission size varies significantly from trade size and that both sizes are informative about future prices, albeit in an inverse manner.     

Why Do Traders Split Orders?

We examine factors that influence decisions by U.S. equity traders to execute a string of orders, in the same stock, in the same direction, around the same time. Order splitting is more likely to occur when traders submit larger‐size orders and when market depth and trading activity are lower. Order splitters demand liquidity more and pay higher trading costs, but their overall performance is better. When controlling for execution time, split orders are more informative than single orders. Our results suggest that order splitting arises from a variety of factors, including informational differences, order and trader characteristics, and market conditions.     

The impact of nominal stock price on ex-dividend price responses

In this paper, we examine whether nominal stock price can help to explain the ex-dividend day anomaly where stock prices drop by less than the dividend amount on the ex-dividend date. We find that stocks with lower nominal prices have ex-dividend day price drops that are more consistent with theoretical predictions based on an efficient market. After controlling for factors that have been previously documented to influence ex-dividend day stock price behavior, price-drop-to-dividend ratios are closer to one for lower priced stocks. To further explore this phenomenon, we examine the change in the price-drop-to-dividend ratio around stock splits. Firms that split their shares have a larger price-drop-to-dividend ratio after the split, and companies that reverse split their shares have a smaller price-drop-to-dividend ratio after the split. Our evidence indicates that ex-dividend day stock price behavior is influenced by the nominal price of a share and that this relation could also influence the decision to split a firm’s shares.     

<Emphasis Type="Italic">K</Emphasis>-fold cross validation performance comparisons of six naive portfolio selection rules: how naive can you be and still have successful out-of-sample portfolio performance?

Recent research reports that optimal portfolio selection models often perform worse than equal-weight naive diversification in out-of-sample testing. This paper extends this line of inquiry by comparing the out-of-sample performance of the equal-weight naive strategy to the out-of-sample performance of five alternative naive strategies, each of which derives from a simple heuristic that does not require any optimization. Out-of-sample portfolio performance is assessed by mean, standard deviation, skewness, and Sharpe ratio; k-fold cross validation is used as the out-of-sample testing mechanism. The results indicate that the proposed naive heuristic rules exhibit strong out-of-sample performance, in most cases superior to the equal-weight naive strategy. These findings are consequential for at least two reasons: first, if these simple heuristic-based rules outperform the equal-weight naive strategy, then by transitivity they can outperform the mean–variance- and shortfall-optimal portfolio rules that have been shown in the literature to be inferior to the equal-weight naive rule, which further emphasizes the out-of-sample fragility of “optimal” methods; and second, among naive diversification strategies, some appear more robust in out-of-sample testing than others, hence the proposed methods may be useful when forming mixed portfolio selection models wherein a naive strategy is combined with an optimal strategy to improve performance.     

ETF Competition and Market Quality

This paper examines competition between exchange traded funds (ETFs) that hold nearly identical portfolios of securities. We provide evidence that incumbent‐fund liquidity is negatively affected when a new ETF is added to an asset class. The degradation in liquidity is even more severe whenever both funds follow the same benchmark. We also document a decline in primary‐market activity for the incumbent ETFs after the arrival of new competitors. Furthermore, increasing the number of funds in an asset class does not put downward pressure on fund management fees. Thus, the deterioration in market quality may not be offset by decreasing costs of fund ownership.     

Optimum government credibility in an open-economy fiscal expansion

A real open-economy model is constructed in which the government's commitment to a future fiscal expansion is not credible. Government credibility (measured by the growth rate of the probability that the expansion will occur) becomes a parameter of the system and appears directly in the eigenvalues. Simulations are performed demonstrating the effect of credibility on GNP, the exchange rate, and other variables. Lastly, the optimum credibility is determined which minimizes a loss function associated with deviations from full employment.     

Tourist experiences,phenomenographic analysis,post‐postivism and neural network software

This paper argues that tourist experiences are essentially individualistic, although it is possible to discern consensual realties. It follows the viewpoint that positivistic research methodologies contain limitations in not being able to define the nature of individual tourist experience, and suggests that phenomenographic analysis may be one approach that permits both a revelation of individual experience while permitting model building of the shared consensus of what is actually happening. More tentatively it is suggested that, when allied with the use of current developments in software, such as that of CATPAC™, a post‐positivist paradigm of research results. Some results of research using this approach are indicated. Copyright © 2000 John Wiley & Sons, Ltd.     

A post-carbon aviation future: Airports and the transition to a cleaner aviation sector

There is an increasing global interest in sustainable aviation technologies as a result of concerns associated with the carbon-intensive nature of the industry and the imminence of reaching peak oil. Available options such as biofuels, liquid hydrogen and electric propulsion will not only impact on the design and functionality of commercial airplanes, but also will affect the entire industry from supply through to operation and maintenance. However, on account of the global spread and international nature of aviation, in addition to the lock-in effect associated with existing fossil-fuel driven technology, the present aviation paradigm is not well equipped for a massive or rapid technological transition. This paper first provides an overview of selected available propulsion options, as well as their possible impact on the aviation infrastructure. It then sets out to identify the existing regime players in the aviation transition arena as a means to provide an overview of potential path trajectories, with a view to assessing how airport owners and other salient regime players can either facilitate or hinder the transition to alternative and less carbon-intensive technologies.