Abstract / Description of output
Firms increasingly follow an ‘always on’ philosophy, producing multiple pieces of firm-generated content (FGC) throughout the day. Current methodologies used in marketing are unsuited to unbiasedly capturing the impact of FGC disseminated intermittently throughout the day in stock markets characterized by ultra-high frequency trading. They also neither distinguish between the permanent (i.e. long-term) and temporary (i.e. short-term) price impacts nor identify FGC attributes capable of generating these price impacts. In this study, the authors define price impact as the impact on the variance of stock price. Employing a market microstructure approach to exploit the variance of high frequency changes in stock price the authors estimate the permanent and temporary price impacts of the firm-generated Twitter content of S&P 500 IT firms. The authors find that firm-generated tweets induce both permanent and temporary price impacts, which are linked to tweet attributes; valence and subject matter. Tweets reflecting only valence or subject matter concerning consumer or competitor orientation result in temporary price impacts, while those embodying both attributes generate permanent price impact; negative valence tweets about competitors generate the largest permanent price impacts. Building on these findings, the authors offer suggestions to marketing managers on the design of intraday FGC.
Original language | English |
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Journal | Journal of Marketing |
Early online date | 13 Aug 2021 |
DOIs | |
Publication status | E-pub ahead of print - 13 Aug 2021 |
Keywords / Materials (for Non-textual outputs)
- real-time marketing
- microstructure
- high frequency data
- firm-generated content