The application of neural networks to predict abnormal stock returns using insider trading data

Alan M. Safer

Applied Stochastic Models in Business and Industry, 2002, vol. 18, issue 4, 381-389

Abstract: Until now, data mining statistical techniques have not been used to improve the prediction of abnormal stock returns using insider trading data. Consequently, an investigation using neural network analysis was initiated. The research covered 343 companies for a period of 4½ years. Study findings revealed that the prediction of abnormal returns could be enhanced in the following ways: (1) extending the time of the future forecast up to 1 year; (2) increasing the period of back aggregated data; (3) narrowing the assessment to certain industries such as electronic equipment and business services and (4) focusing on small and midsize rather than large companies. Copyright © 2002 John Wiley & Sons, Ltd.

Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:18:y:2002:i:4:p:381-389

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