已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Earnings management and listing regulations in China

作者
Tao Li,Mi Luo,David T. Ng
出处
期刊:China Finance Review International [Emerald Publishing Limited]
卷期号:4 (2): 124-152 被引量:12
标识
DOI:10.1108/cfri-02-2014-0005
摘要

Purpose – The purpose of this paper is to document earnings management of Chinese firms. Design/methodology/approach – The paper takes advantage of the introduction of stringent delisting requirements around 2000 that non-cross-listed firms with consecutive earnings losses for more than two years would be delisted from the mainland Chinese exchanges. The paper examines whether listed firms in Chinese market manage earnings to avoid listings. The paper also examines whether mainland Chinese firms cross-listed in Hong Kong exchanges manage earnings the same way. The measure for earnings management is derived from a kernel density estimate for the return on equity distribution, following Bollen and Pool (2009). Findings – The paper finds that the new delisting threats induce rampant earnings management on mainland markets, and cross-listing in Hong Kong has a curbing effect on earnings management. The paper also finds that prices became less value relevant after the implementation of delisting regulations, and investors rationally discounted the reliability of earnings announcements in China. Such market responses were absent for cross-listed firms in Hong Kong. Originality/value – There is little conclusive evidence about whether cross-listing in a non-US market has a curbing effect on earnings management. The paper contributes to this literature by using this unique exogenous policy change in China and following a difference-in-difference approach in identifying the potential curbing effect. The particular measure adapted from Bollen and Pool (2009) utilizes information of the whole distribution of return on equity, thus extends earlier crude comparison of nearest two bars around zero and partially deals with the potential endogeneity problem.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Dreamer.发布了新的文献求助10
1秒前
1秒前
2秒前
贺可人完成签到 ,获得积分10
3秒前
wanci的应助被Kiyuo采纳,获得10
3秒前
4秒前
ISTP完成签到,获得积分10
6秒前
乐观的匕发布了新的文献求助10
6秒前
7秒前
树懒发布了新的文献求助30
8秒前
zqq完成签到,获得积分10
9秒前
wyf发布了新的文献求助10
10秒前
saturn完成签到,获得积分20
10秒前
11秒前
Nil完成签到,获得积分10
11秒前
眯眯眼的语兰完成签到,获得积分10
12秒前
西北发布了新的文献求助10
12秒前
12秒前
哒哒哒发布了新的文献求助10
14秒前
温暖寻雪发布了新的文献求助10
14秒前
小岭发布了新的文献求助30
16秒前
皆如我愿完成签到 ,获得积分10
16秒前
25完成签到,获得积分10
16秒前
啦啦啦啦啦完成签到 ,获得积分10
17秒前
18秒前
一一完成签到 ,获得积分10
18秒前
18秒前
悠闲的自然完成签到 ,获得积分10
19秒前
星辰大海的应助被LogeYu采纳,获得10
20秒前
20秒前
21秒前
23秒前
无事发生发布了新的文献求助10
23秒前
科研通AI2S的应助被wyp采纳,获得10
24秒前
细水长流发布了新的文献求助10
24秒前
spider完成签到,获得积分10
25秒前
26秒前
背后的西牛完成签到 ,获得积分10
26秒前
27秒前
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Sustainable Engineered Micro/Nanofibers and Hybrid Nanocomposites for Environmental Remediation 400
Ecotourism 400
Liquidus diagram and viscosity estimation in pseudo-binary system Li2B6O10–LiF 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8075476
求助须知:如何正确求助?哪些是违规求助? 9493778
关于积分的说明 21376502
捐赠科研通 7643000
什么是DOI,文献DOI怎么找? 3399865
关于科研通互助平台的介绍 2529469
邀请新用户注册赠送积分活动 2438458