G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12436
DP12436 Firm-level political risk: Measurement and effects
Tarek Hassan; Stephan Hollander; Laurence van Lent; Ahmed Tahoun
发表日期2017-11-10
出版年2017
语种英语
摘要We adapt simple tools from computational linguistics to construct a new measure of political risk faced by individual US firms: the share of their quarterly earnings conference calls that they devote to political risks. We validate our measure by showing it correctly identifies calls containing extensive conversations on risks that are political in nature, that it varies intuitively over time and across sectors, and that it correlates with the firm's actions and stock market volatility in a manner that is highly indicative of political risk. Firms exposed to political risk retrench hiring and investment and actively lobby and donate to politicians. These results continue to hold after controlling for news about the mean (as opposed to the variance) of political shocks. Interestingly, the vast majority of the variation in our measure is at the firm level rather than at the aggregate or sector level, in the sense that it is neither captured by the interaction of sector and time fixed effects, nor by heterogeneous exposure of individual firms to aggregate political risk. The dispersion of this firm-level political risk increases significantly at times with high aggregate political risk. Decomposing our measure of political risk by topic, we find that firms that devote more time to discussing risks associated with a given political topic tend to increase lobbying on that topic, but not on other topics, in the following quarter.
主题Financial Economics ; Macroeconomics and Growth ; Monetary Economics and Fluctuations
关键词Political uncertainty Quantification Firm-level Lobbying
URLhttps://cepr.org/publications/dp12436-0
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/541246
推荐引用方式
GB/T 7714
Tarek Hassan,Stephan Hollander,Laurence van Lent,et al. DP12436 Firm-level political risk: Measurement and effects. 2017.
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