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...

The main purpose of this paper is to suggest a general scheme for the examination of claims to scientific authority. The formulation of a scheme within which rational discourse can take place, and comparisons between competing paradigms can be made, is argued to have particular urgency for the...

Purpose: This paper aims to provide a systematic review of the published literature on corporate social responsibility reporting (CSRR). Furthermore, it assesses the main limitations reported in previous CSRR studies and offers recommendations for best practice and future research....

Purpose: The purpose of this paper is to provide a comprehensive overview of the literature concerning servant leadership. The paper identifies the existing themes present within the servant leadership literature. This allows it to determine where the research concerning servant leadership lies...

Purpose – Men and women are now being admitted to membership of the major UK professional accountancy bodies in approximately equal numbers. This trend has focused attention on the ways in which professional accountants combine careers and family life, particularly when women have children....

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...