G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14253
DP14253 The Global Impact of Brexit Uncertainty
Tarek Hassan; Stephan Hollander; Laurence van Lent; Ahmed Tahoun
发表日期2019-12-26
出版年2019
语种英语
摘要We propose a text-based method for measuring and analyzing the international propagation of uncertainty shocks at the firm level. We apply this method to estimate the impact of Brexit-related uncertainty and find widespread reverberations on listed firms in 81 countries. International firms most exposed to Brexit uncertainty not only significantly lost market value but also reduced hiring and investments. In addition to Brexit uncertainty (the second moment), we find that international firms overwhelmingly expected negative direct effects from Brexit (the first moment). Most prominently, firms expected difficulties from regulatory divergence, reduced labor mobility, and limited trade access.
主题Financial Economics ; International Macroeconomics and Finance ; Macroeconomics and Growth
关键词Brexit Uncertainty Sentiment Machine learning Cross-country effects
URLhttps://cepr.org/publications/dp14253-0
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543139
推荐引用方式
GB/T 7714
Tarek Hassan,Stephan Hollander,Laurence van Lent,et al. DP14253 The Global Impact of Brexit Uncertainty. 2019.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Tarek Hassan]的文章
[Stephan Hollander]的文章
[Laurence van Lent]的文章
百度学术
百度学术中相似的文章
[Tarek Hassan]的文章
[Stephan Hollander]的文章
[Laurence van Lent]的文章
必应学术
必应学术中相似的文章
[Tarek Hassan]的文章
[Stephan Hollander]的文章
[Laurence van Lent]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。