This paper uses Artificial Neural Networks to develop a model for detecting management fraud. Although similar to the more widely investigated area of bankruptcy prediction, research has been minimal. To increase the body of knowledge on this subject, we offer an in-depth examination of...

The purpose of this study is to investigate how Artificial Neural Network forecasts, specifically Adaptive Logic Network (ALN) forecasts, compare to those of linear regression (LR) and ARIMA models when analyzing international stock market movements during the crash of October 1987. The results...