The relationships between 'direct' and 'indirect' property investment, emphasizing information asymmetry and price discovery, have been investigated in the framework of cointegration and using the concept of Granger causality. The implications of information asymmetry in the market have been...

Data envelopment analysis (DEA) is applied, and basic and cross-efficiency models are used to evaluate the performance of CTA classifications. With the ever-increasing number of CTAs, there is an urgent requirement to provide money managers, pension funds, and high-net-worth individuals with a...

The statistical properties of various measures of risk were investigated with a view to explaining the reasons for lack of use in finance of risk measures other than the variance, and to see if there is a sensible measure to use for cross-European comparisons. As examples, the semi-variance, the...

A new framework is provided for identifying market timing. The analysis focuses on the local joint history of the hedge fund with the benchmark. The approach is fully nonparametric. Therefore, it has the advantage of avoiding the misspecification problems so common in this literature. The test...

Using an extensive range of macroeconomic indicators and a number of two-stage models mixing OLS and a non-parametric approach known as the nearest neighbour algorithm, the authors analyse the potential for improving forecasts of US industry returns over those built by OLS on industry-specific...

This paper evaluates the double gamma distribution as a means of modelling asymmetry in the conditional distribution of financial data. To do this the model is applied to ten exchange rate series covering mature and emerging market countries. A second contribution of this paper is to highlight...