返回
Do reverse stock splits indicate future poor stock performance?
DOI:10.1016/j.eswa.2008.01.013.png)
摘要
En 中文
There has been much written on the individual topics of bankruptcy prediction, corporate performance, and forward/reverse stock splits. However, there is little research into the relationship between reverse stock splits and subsequent corporate performance and the potential for bankruptcy. Previous research suggested there is a negative drift in stock prices following reverse splits. The purpose of this study is to provide and empirically support rationales for reverse splits by classifying reverse splitting firms into two groups. The presumed rationales for engaging in reverse splits would differ between the two groups, so do the subsequent stock performance. Our results show that both neural networks and Z-scores call successfully distinguish the two groups of firms while neural networks outperforms Z-scores in finding the firms with best performing stocks. (C) 2008 Elsevier Ltd. All rights reserved.
Keyword:
Reverse stock splits
Bankruptcy
Artificial neural networks
Altman's Z-scores
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
Two-dimensional bricklayer arrangements of tolans using halogen bonding interactions使用卤素键相互作用的tolans的二维瓦工层布置


