A number of neural network techniques, namely multi-layer perceptron, k-means algorithm and the self-organizing map are applied to the detection of technical trading patterns within stock markets. We do not find exploitable information content and it is concluded that there are no significant...

In the paper the authors maintain that the prevalence of technical analysis in professional investment argues that such techniques should perhaps be taken more seriously by academics. The new technique of genetic programming is used to investigate a long time series of price data for a quoted...

This study uses the event study method to compare the information content of annual accounting releases in sectors that differ in respect of the proportion of market value that may be attributed to intangibles. The results demonstrate that there are differences between industrial sectors in the...

In this study, Genetic Programming is used to generate technical trading rules. These are assessed in terms of their basic returns and their risk adjusted returns. It is found that while the basic returns are impressive by comparison with buy and hold, they do not outperform buy and hold after...

While an extensive literature exists on the market impact of accounting disclosures, there is little prior work on the market impact of accounting disclosures on investment trusts within the UK. The prior literature that exists suggests an absence of information content. This paper investigates...