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企业层面的政治风险:测度与效应*

Firm-Level Political Risk: Measurement and Effects*
Quarterly Journal of Economics · 2019 · Tarek A. Hassan、Stephan Hollander、Laurence van Lent、Ahmed Tahoun

中文摘要

我们采用计算语言学的简单工具,构建了一种衡量美国各企业所面临政治风险的新测度:即企业在其季度财报电话会议中用于讨论政治风险的比重。我们通过以下方式验证了该测度:它能够正确识别出包含大量关于本质属政治性风险的讨论的电话会议;它随时间与行业的变化符合直觉;它与企业行为及股票市场波动率的相关方式高度表明其反映的是政治风险。暴露于政治风险的企业会缩减招聘与投资,并积极游说和向政客捐款。在控制了关于政治冲击均值(而非方差)的新闻之后,这些结果依然成立。有趣的是,我们测度中的绝大部分变异发生在企业层面,而非总体或行业层面,也就是说,它既不能由行业与时间固定效应的交互项所捕捉,也不能由各企业对总体政治风险的异质性暴露所捕捉。这种企业层面政治风险的离散度在总体政治风险较高的时期显著上升。将我们的政治风险测度按主题进行分解,我们发现,在某一给定政治主题上投入更多时间讨论相关风险的企业,倾向于在下一季度增加就该主题的游说,而不会增加对其他主题的游说。

Abstract

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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