An Exploratory Study of Company Turnaround in Australia and Singapore Following the Asia Crisis

There has been little research into company turnaround practices in Asia. This paper investigates the role of retrenchment, replacement of chairman or chief executive and ownership change in the turnaround process, using a sample of 60 listed companies in Australia and Singapore. Conclusions are drawn that overall, transparency of the regulatory environment and other governance issues are a stronger influence on turnaround practices than are cultural issues. This may make Singapore, which has transparency and governance risk indicators at similar low levels to Australia, a unique business environment in Asia.     

DOES IT PAY TO DISCLOSE MANAGERIAL EARNINGS INFORMATION EARLY?

Does it pay to voluntarily disclose the manager's private information about the firm's earnings prospects before the mandatory announcement date? This question has been a subject of much debate because prior research establishes both benefits and costs of early information disclosure. We provide evidence on the net effect of such disclosure by examining its impact on firm value. Using a large sample and correcting for self‐selection bias, we find that early disclosure of the manager's private earnings information enhances the end‐of‐period value of the firm.     

The Effectiveness of PowerPoint presentations in the Accounting Classroom

Abstract

The purpose of this paper is to provide empirical evidence regarding the effectiveness (or not) of using PowerPoint in an accounting classroom. The study focuses on the relationship between students' preferences regarding PowerPoint and their academic performance in the accounting classroom. The study was conducted using the survey method, in which the data was collected from a questionnaire administered to 189 undergraduate students in a medium-size Japanese university. The results of this study show a significant relationship between students' preferences regarding PowerPoint media and their academic performance as shown in their examination scores. Consequently, it was suggested that incorporating multimedia into the accounting classroom does not necessarily provide a simple solution to improving the effectiveness of students' learning outcomes.     

“When the cat's away the mice will play”: Does regulation at home affect bank risk-taking abroad?

This paper provides the first empirical evidence that bank regulation is associated with cross-border spillover effects through the lending activities of large multinational banks. We analyze business lending by 155 banks to 9,613 firms in 1,976 different localities across 16 countries. We find that lower barriers to entry, tighter restrictions on bank activities, and to a lesser degree higher minimum capital requirements in domestic markets are associated with lower bank lending standards abroad. The effects are stronger when banks are less efficiently supervised at home, and are observed to exist independently from the impact of host-country regulation.     

College football attendance: a panel study of the Football Bowl Subdivision

Panel data with an instrumented real ticket price are used to estimate a regular season game-day attendance and per cent of capacity regression equations. Better team performance, whether short term (season wins), intermediate term (bowls games in last 10 years) or long term (lifetime winning percentage), higher undergraduate enrolment, traditional rivalries and video coverage increase per cent of capacity used. Poor weather (more rain or cloud cover), higher travel costs and larger local population decrease it. Fan interest wanes as a season progresses, but this is offset as a team wins more games. Games played near a National Football League stadium, those with conference opponents, non-FBS opponents and non-BCS opponents have lower stadium utilization. The substantive results of the analysis do not change when attendance is used as the dependent variable rather than per cent of capacity.     

Smoothed binary regression quantiles

This paper extends results regarding smoothed median binary regression to general smoothed binary quantile regression, discusses the interpretation of the resulting estimators under alternative assumptions, and shows how they may be used to obtain semiparametric estimates of counterfactual probabilities. The estimators are applied to a model of labour force participation of married women in the USA. We find that the elasticity with respect to non‐labour income is significantly negative only for women that belong to the middle of the conditional willingness‐to‐participate (WTP) distribution. In comparing the quantile models with parametric logit and semiparametric single‐index specifications, we find that the models agree closely for women around the centre of the WTP distribution, but there are considerable disagreements as we move towards the tails of the distribution. Copyright © 2006 John Wiley & Sons, Ltd.     

Confidence Intervals for the Area Under the Receiver Operating Characteristic Curve in the Presence of Ignorable Missing Data

Receiver operating characteristic curves are widely used as a measure of accuracy of diagnostic tests and can be summarised using the area under the receiver operating characteristic curve (AUC). Often, it is useful to construct a confidence interval for the AUC; however, because there are a number of different proposed methods to measure variance of the AUC, there are thus many different resulting methods for constructing these intervals. In this article, we compare different methods of constructing Wald‐type confidence interval in the presence of missing data where the missingness mechanism is ignorable. We find that constructing confidence intervals using multiple imputation based on logistic regression gives the most robust coverage probability and the choice of confidence interval method is less important. However, when missingness rate is less severe (e.g. less than 70%), we recommend using Newcombe's Wald method for constructing confidence intervals along with multiple imputation using predictive mean matching.