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This study concerns how well stock market regulators prevent trading by using trading halts when they suspect asymmetric information in the market. Security trading halts in the Portuguese stock market are analysed to measure the effectiveness of trading halts imposed by market authorities as well as their timing in interrupting and restarting trading. Stock price returns, abnormal returns and volatility are used to compare the significance of differences for pre‐and post‐halt periods. First the global sample is used to analyse abnormal returns and then it is split into good and bad news halts. A GARCH (1,1) model is also applied and found to be a more sensitive instrument on justifying trading halts. Justification for trading halts tends to rise as event window size increases, suggesting that supervisory authorities tend to spot the dominant changes better. In fact, when very short time‐sampling periods are used weaker justifications for stock halting are found. The opportunity for market authorities to interrupt trading seems to be increasing. In terms of timing they seem, on the whole, to be delayed when imposing trading halts or anticipated when authorising the restart. Nevertheless, when considering good news, although the halt tends to be late the restart seems to be on time. It is concluded that all methodologies should be jointly applied by stock watch departments of supervision authorities for detecting trading under asymmetric information, but special attention is drawn to GARCH methodologies that show superior ability for detecting changes in stock characteristics.

Compiled by K.G.B. Bakewell covering the following journals published by Emerald: Facilities Volumes 8‐19; Journal of Property Investment & Finance Volumes 8‐19; Property Management Volumes 8‐19; Structural Survey Volumes 8‐19.

Compiled by Indexing Specialists (UK) Ltd covering the following journals published by Emerald: Facilities Volumes 8‐20; Journal of Property Investment & Finance Volumes 8‐20; Property Management Volumes 8‐20; Structural Survey Volumes 8‐20.

Compiled by K.G.B. Bakewell covering the following journals published by Emerald: Facilities Volumes 8‐19; Journal of Property Investment & Finance Volumes 8‐19; Property Management Volumes 8‐19; Structural Survey Volumes 8‐19.

Compiled by Indexing Specialists (UK)Ltd covering the following journals published by Emerald: Facilities Volumes 8‐20; Journal of Property Investment & Finance Volumes 8‐20; Property Management Volumes 8‐20; Structural Survey Volumes 8‐20.

This paper investigates the impact of the PricewaterhouseCoopers (PwC) merger in Australia on existing and potential clients of the new merged firm. From prior theory it is expected that some existing clients may have an incentive to switch away from a newly merged firm as the same larger firm now audits close competitors once audited by separate firms. Prior theory also suggests that another group of potential clients should be attracted to the newly merged firm where the merger enhances or creates industry specializations. The expectation is that in both of these instances there will be increased switching activity associated with the newly merged audit firm. Contrary to expectations, a significantly lower level of switching behaviour was observed for the newly merged firm compared with that of the other Big 5 firms, suggesting that an advantage of enhanced specialization may not be the attraction of new clients but the retention of existing clients. When comparing the nature of the switches, some support was found for the view that the switches to the new firm were likely to be in enhanced areas of specialization, but no evidence was found to suggest that close competitors would switch away from this firm. The greater rate of retention of clients compared with other Big 5 firms was not associated with a more competitive audit pricing policy.

Most poverty research has explored monetary poverty. This chapter presents and analyzes the global multidimensional poverty index (MPI) estimations for China. Using China Family Panel Studies (CFPS), we find China’s global MPI was 0.035 in 2010 and decreased significantly to 0.017 in 2014. The dimensional composition of MPI suggests that nutrition, education, safe drinking water, and cooking fuel contribute most to overall non-monetary poverty in China. Such analysis is also applied to subgroups, including geographic areas (rural/urban, east/central/west, provinces), as well as social characteristics such as gender of the household heads, age, education level, marital status, household size, migration status, ethnicity, and religion. We find the level and composition of poverty differs significantly across certain subgroups. We also find high levels of mismatch between monetary and multidimensional poverty at the household level, which highlights the importance of using both complementary measures to track progress in eradicating poverty.