Prior research in the Australian equity market has failed to fully document the well-known influences of size and book-to-market effects that have been evidenced in other markets. While much is known about the size effect in Australia, data limitations have curtailed attempts to analyse the...

There is substantial argument that political risk is an important and increasing influence on international portfolio allocation decisions. The purpose of this paper is to investigate the relation between political risk and stock returns within the context of emerging markets. The issue is...

Emerging stock markets have been identified as being at least partially segmented from global capital markets. As a consequence, it has been argued that local risk factors rather than world risk factors are the primary source of equity return variation in these markets. This paper seeks to...

The agency relationship between managers and shareholders has the potential to influence decision-making in the firm which in turn potentially impacts on firm characteristics such as value and leverage. Prior evidence has demonstrated an association between ownership structure and firm value....

This paper examines execution costs and the impact of trade size for stock index futures using price-volume transaction data from the London International Financial Futures and Options Exchange. Consistent with Subrahmanyam [Rev. Financ. Stud. 4 (1991) 11] we find that effective half spreads in...

To date, research into socially responsible investment (SRI), and in particular the socially responsible investment funds industry, has focused on whether investing in SRI assets has any differential impact on investor returns. Prior findings generally suggest that, on a risk-adjusted basis,...

In a cross-border M&A framework, the question and measurement of financial synergy can be important in the analysis of the transaction and consideration needs to be given to whether the specific cross-border financial risks outweigh operational synergies. This paper develops a diffusion model to...

Vector error-correction models (VECM) are increasingly being used to capture dynamic relationships between financial variables. Estimation and interpretation of such models can be enhanced if zero restrictions are allowed in the coefficient matrices. Conventional use of full-order models may...

Vector error-correction models (VECMs) have become increasingly important in their application to financial markets. Standard full-order VECM models assume non-zero entries in all their coefficient matrices. However, applications of VECM models to financial market data have revealed that zero...