Investor sentiment contagion and network connectedness: Evidence from China and other international stock markets

溢出效应 经济 货币经济学 金融危机 库存(枪支) 欧债危机 股票市场 新兴市场 次贷危机 中国 国际经济学 欧洲联盟 财务 宏观经济学 古生物学 法学 欧洲一体化 工程类 生物 机械工程 政治学
作者
Yandi Liu,Jun Zhang,Na Guo,Jingshan Liu
出处
期刊:The Manchester School [Wiley]
卷期号:91 (6): 587-613
标识
DOI:10.1111/manc.12457
摘要

Abstract International economic exchanges have become more frequent, and the degree of the mutual influences of investor sentiment in the stock markets of various countries has been increasing. Therefore, the study of cross‐country spillover effects of investor sentiment is of great relevance to the analysis of financial market linkage and the diffusion mechanisms between countries. This study examined the directions and levels of investor sentiment spillovers in 10 countries from 2003 to 2020 by constructing aggregate and directional spillover indices and analyzing the static and dynamic characteristics as well as the network structures of the spillover effects. The results revealed that (1) investor sentiment had significant cross‐country spillover effects and their intensities were time‐varied, with the total sentiment spillover index rising sharply in response to extreme events, such as the subprime mortgage crisis, the European sovereign debt crisis, the United Kingdom's (U.K.) Brexit policy, and the coronavirus pandemic. (2) The spillover effects were impacted by the level of economic and financial development. Overall, developed countries had higher levels of spillover than did developing countries. (3) Countries that were highly correlated with extreme events had stronger spillover effects. For example, the United States and the U.K. were the main net “exporters” of sentiment during the subprime crisis, and Germany became the top “exporter” during the European sovereign debt crisis. Our findings have important implications for policymakers who aim to understand capital markets correlations and promote regulatory coordination across countries.

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
李爱国应助11采纳,获得10
刚刚
刚刚
雪霁凝泫发布了新的文献求助10
刚刚
Willa发布了新的文献求助10
1秒前
1秒前
yetong发布了新的文献求助10
1秒前
1秒前
华仔应助聪明的媚颜采纳,获得10
2秒前
阿巴完成签到,获得积分10
3秒前
超级的眼睛完成签到,获得积分10
3秒前
4秒前
橙猫猫完成签到,获得积分20
4秒前
snow发布了新的文献求助10
6秒前
actor2006发布了新的文献求助10
6秒前
科研通AI6.1应助木头星星采纳,获得10
7秒前
7秒前
9秒前
Orange应助科研通管家采纳,获得10
10秒前
乐乐应助科研通管家采纳,获得10
10秒前
11秒前
11秒前
NexusExplorer应助actor2006采纳,获得10
12秒前
12秒前
molihuakai应助嘻嘻嘻采纳,获得10
12秒前
123完成签到,获得积分10
13秒前
共享精神应助轻松的亦巧采纳,获得10
13秒前
斯文败类应助wuyun9653采纳,获得10
14秒前
拉长的紫安完成签到 ,获得积分10
14秒前
14秒前
15秒前
李健应助404采纳,获得10
16秒前
17秒前
17秒前
20秒前
20秒前
21秒前
科研通AI6.1应助田正义采纳,获得10
22秒前
22秒前
23秒前
ZZM发布了新的文献求助10
23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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361683
求助须知:如何正确求助?哪些是违规求助? 8175455
关于积分的说明 17222707
捐赠科研通 5416487
什么是DOI,文献DOI怎么找? 2866365
邀请新用户注册赠送积分活动 1843608
关于科研通互助平台的介绍 1691450