Detecting earnings management with neural networks
Detecting earnings management with neural networks
Henrik Höglund
2012 · DOI: 10.1016/j.eswa.2012.02.096
Expert systems with applications · 63 Citations
TLDR
The results show that the GRNN-based model performs best, whereas the linear regression- based model has the poorest performance, however, the results also show that all five models assessed in this study estimate discretionary accruals, a proxy for earnings management, with some bias.
