Media opinion divergence and stock returns: Evidence from China

Zuochao Zhang, John W. Goodell, Dehua Shen and Oumaima Lahmar

International Review of Financial Analysis, 2024, vol. 93, issue C

Abstract: We construct a proxy for media opinion divergence using Latent Dirichlet Allocation. With this proxy, we investigate the impact of media opinion divergence on Chinese stocks. Findings indicate that higher media opinion divergence results in higher stock returns, but leads to lower future stock returns, consistent with Miller (1987). Additionally, we similarly explore the impact of divergence between traditional media and new media on stock returns, obtaining similar results. Findings are robust to controlling for firm characteristics and the number of news articles. Our study provides valuable insights into how the media can influence investor opinions and in turn the stock market in the digital media era.

Keywords: Media opinion divergence; Textual analysis; Latent Dirichlet Allocation; Generative probabilistic modeling (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:93:y:2024:i:c:s1057521924000723

DOI: 10.1016/j.irfa.2024.103140

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