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The main purpose of this study is to examine the incremental information content of operating cash flows in predicting financial distress and thus develop reliable failure prediction models for UK public industrial firms. Neural networks and logit methodology were employed to a dataset of fifty-one matched pairs of failed and non-failed UK public industrial(More)
The main purpose of this paper is the development and validation of a failure classification model for UK public industrial companies using current techniques: logit analysis and Neural Networks. Our dataset consists of 51 matched-pairs of failed and nonfailed UK public industrial firms over the period 1988-1997. Prediction models are developed for up to(More)
In the backdrop of the creation and collapse of the Cyprus stock market bubble, we document substantial positive abnormal returns around the announcement and execution of stock splits in Cyprus. Split-induced returns cannot be explained by variables proxying for conventional liquidity and signalling hypotheses for stock split activity, and are largely(More)
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