This paper builds on prior research by analysing the impact of cultural factors on both price clustering and price resistance in China's stock markets. The results support the presence of cultural factors impacting on price clustering with the digit 8 showing a higher propensity for clustering...

With the benefit of very high frequency (25 million 1 minute observations) and recent data (2001) for the UK, this paper explores a number of intra day patterns of stock market behaviour. More specifically, a distinct reverse J shaped bid-ask spread pattern is noted for SETS securities, a...

"This paper investigates a neglected topic in corporate governance research; namely, do governance characteristics affect the market reaction to news? The topic is important given the emphasis by governance regulations and codes of best practice on the need for greater transparency of corporate...

We examine how information risk and transaction costs influence the initial and subsequent market reaction to earnings news. We find that the initial market reaction is higher per unit of earnings surprise for higher information risk firms (information content effect). Furthermore, it is...

Market structure affects the informational and real frictions faced by traders in equity markets. Using bid-ask spreads, we present evidence which suggests that while real frictions associated with the costs of supplying immediacy are less in order-driven systems, informational frictions...

In this paper, we investigate the agency costs of government ownership and their impact on corporate governance and firm value. China is used as a laboratory because of the prevalent state shareholdings in exchange-listed firms. In this context, we specifically consider the trade-offs involved...

We examine the effect of information quality around earnings announcements and insider trading events on equity systematic risk. Our results indicate that observed systematic risk significantly increases after these events. Consistent with the insights provided by our framework, the change in...

We investigate whether the use of component forecasts improves the accuracy of a portfolio forecast which uses only aggregate data. The results show that the use of component data improves the accuracy of aggregate forecasts. Furthermore, the long–short trading strategy based on the component...

We develop a non-linear Markov error correction approach to examine the general co-integration relation between the H- and A-prices of cross-listed Chinese stock issuers across the period January 1999 to March 2009. We unravel three important dimensions of this relation. These pertain to (i) the...