• Media type: E-Book
  • Title: The Social Media Risk Premium
  • Contributor: Hosseini, Amin [Author]; Jostova, Gergana [Other]; Philipov, Alexander [Other]; Savickas, Robert [Other]
  • Published: [S.l.]: SSRN, [2020]
  • Extent: 1 Online-Ressource (48 p)
  • Language: English
  • DOI: 10.2139/ssrn.3514826
  • Identifier:
  • Keywords: Social media risk factor ; cross-section of stocks and bonds ; machine learning ; Twitter
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 10, 2020 erstellt
  • Description: Using novel corporate Twitter data on all U.S. public firms, we show that firms with a Twitter account earn 50 basis points per month higher returns than similar firms without a Twitter account. This `Twitter premium' is higher among smaller firms and firms with higher fundamentals uncertainty, and is not explained by existing risk-factor models. Having a Twitter account presents opportunities for value creation but also raises social media risks. We show that a social media risk factor is priced in the cross-section of U.S. stock returns and carries a premium of 30 to 75 basis points per month controlling for other risk factors
  • Access State: Open Access