政治风险
政治
波动性(金融)
经济
收益
库存(枪支)
差异(会计)
系统性风险
金融经济学
构造(python库)
风险度量
市场风险
骨料(复合)
股票市场
货币经济学
财务
政治学
会计
法学
文件夹
复合材料
材料科学
古生物学
程序设计语言
工程类
生物
马
机械工程
计算机科学
作者
Tarek A. Hassan,Stephan Hollander,Laurence van Lent,Ahmed Tahoun
摘要
Abstract We adapt simple tools from computational linguistics to construct a new measure of political risk faced by individual U.S. firms: the share of their quarterly earnings conference calls that they devote to political risks. We validate our measure by showing that 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 captured neither 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.
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