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Firm-Generated Online Content in Social Media and Stock Performance: An Event Window Study of Twitter and the S&P 500

Firm-Generated Online Content in Social Media and Stock Performance: An Event Window Study of Twitter and the S&P 500

Pengcheng Zhang, Xiaopeng Luo, Jiayin Qi, Jia Li
This study investigates how different types of firm-generated online content (FGOC) on Twitter impact the stock performance of S&P 500 companies. Using signaling theory and limited attention theory, the research analyzes stock market data and tweet content from 141 firms, categorizing posts into strong (e.g., product news) and weak (e.g., greetings) signals to evaluate their effect on abnormal stock returns.

Problem Firms often face information asymmetry, where important corporate information fails to reach all investors, leading to market inefficiencies. While social media offers a direct communication channel, it's unclear how different types of company posts actually influence investor behavior and stock prices, especially considering the potential for information overload.

Outcome - Strong image-enhancing posts, especially about new products and financial results, are positively correlated with higher abnormal stock returns.
- Weak image-enhancing content, such as casual interactions or retweets, does not significantly impact stock performance by itself.
- The presence of weak signals diminishes the positive stock market effects of strong signals, likely by diluting investor attention.
- This weakening effect is more pronounced for crucial finance-related announcements than for product-related news.
Social Media, Firm-Generated Online Content (FGOC), Stock Performance, Information Disclosure, Weak and Strong Signals, Signaling Theory, Limited Attention Theory