A collective,undifferentiated accounting profession: an Australian study

A study of 386 potential and current members of the accounting profession in Australia and South‐East Asia provides evidence of the importance of three attributes – brand/reputation, international recognition of qualifications and career opportunities – in the decision to join a professional accounting body. While these attributes are important, logit regression models indicate that they are not discriminatory in the choice of professional body and suggest a perception of a collective, undifferentiated accounting profession. The marketing of brand/reputation and membership benefits may be a more efficient and effective strategy in attracting members and differentiating the profession if undertaken by a combined or coordinated professional body.     

An Analysis of Lockups in REIT IPOs

We analyze how the unique characteristics of real estate investment trusts (REITs) affect IPO lockup agreements from 1980 to 2006. The findings show that, unlike industrial IPOs, lockup periods for REIT IPOs do not cluster at 180 days, tend to cover longer periods, and vary over time. Our results support the commitment device hypothesis instead of the signaling hypothesis. That is, REIT managers tend to use lockup agreements to alleviate moral hazard problems and protect post-IPO investors rather than to send signals to investors. Finally, contrary to previous studies, we find no significant negative abnormal returns around the unlock date for the whole sample. The lack of aggressive sales by insiders and the fact that REITs are not backed by venture capitalists can explain our finding.     

An empirical investigation of the relative effect of trust and switching costs on service loyalty in the UK retail banking industry

The crisis in the UK financial services industry has led to retail banking customers treating transactions with growing scepticism. Retail banks are having to work very hard to regain customer trust. Despite recent research in marketing that acknowledges the importance of service loyalty to service firms, studies that have examined the relative effects of trust and the different types of switching costs on attitudinal and behavioural loyalty are scant. Therefore this article aims to build a model to examine the strength of the relationships between these constructs. Using survey data collected from a convenience sample of 290 retail banking customers in the United Kingdom, the article reveals that the main drivers of attitudinal loyalty are trust and relational switching costs. In contrast, the main drivers of behavioural loyalty are trust, relational switching costs and attitudinal loyalty. Interestingly, financial and procedural switching costs exert no significant effect on either attitudinal or behavioural loyalty. Trust and relational switching costs exert a stronger effect on attitudinal than behavioural loyalty.     

Coordinated Effects in the 2010 Horizontal Merger Guidelines

Recent research has highlighted the quantitative contribution to merger analysis from extending unilateral effects models to understand the payoffs to future potential coordinated effects. Some of the emphasis of this research appears to have made its way into the 2010 Horizontal Merger Guidelines. In this paper, we demonstrate the quantification of coordinated effects in an oligopoly and procurement model, and we show that screens that are based on upward pricing pressure are not adequate in mergers where coordinated effects are a potential concern.     

Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition

In this work we introduce the forecasting model with which we participated in the NN5 forecasting competition (the forecasting of 111 time series representing daily cash withdrawal amounts at ATM machines). The main idea of this model is to utilize the concept of forecast combination, which has proven to be an effective methodology in the forecasting literature. In the proposed system we attempted to follow a principled approach, and make use of some of the guidelines and concepts that are known in the forecasting literature to lead to superior performance. For example, we considered various previous comparison studies and time series competitions as guidance in determining which individual forecasting models to test (for possible inclusion in the forecast combination system). The final model ended up consisting of neural networks, Gaussian process regression, and linear models, combined by simple average. We also paid extra attention to the seasonality aspect, decomposing the seasonality into weekly (which is the strongest one), day of the month, and month of the year seasonality.     

A Measure of Stock Market Integration for Developed and Emerging Markets

A wide array of official capital controls across countries makesit difficult to perform cross-sectional analysis of the effectsof market segmentation. This article constructs a measure ofdeviations from capital market integration that can be consistentlyapplied across countries. It measures the deviations of assetreturns from an equilibrium model of returns constructed assumingmarket integration. Applying the measure to stock returns fromtwenty-four national markets indicates that market segmentationtends to be much larger for emerging markets than for developedmarkets, and that the measure tends to decrease over time. Alongseveral dimensions, the proposed measure yields results thatare consistent with reasonable priors about the relations betweeneffective integration and explicit capital controls, capitalmarket development, and economic growth.