Abstract
We develop a novel measure of partisan corporate speech using techniques from natural language processing. Using the entire corpus of tweets from companies listed on the S&P 500, we first establish a large increase in the amount of partisan corporate speech between 2011 and 2022. This increase in partisan speech is disproportionately driven by corporates using speech commonly associated with Democratic politicians; in particular, statements related to climate change as well as diversity, equity, and inclusion. We also explore how intraday stock returns respond to partisan corporate tweets.
Keywords
corporate speechpolitical ideologysocial mediaNLPESGTwitter
Tags of Social Finance
#Media and Textual Analysis#Archival Empirical#Asset Pricing & Trading Volume and Market Efficiency#Manager & Firm Behavior