• Medientyp: E-Book
  • Titel: News Tone and Stock Return in Chinese Market
  • Beteiligte: ge, Huimin [Verfasser:in]; Zhang, Xiaoyan [Verfasser:in]
  • Erschienen: [S.l.]: SSRN, [2022]
  • Erschienen in: PBCSF-NIFR Research Paper
  • Umfang: 1 Online-Ressource (44 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4004519
  • Identifikator:
  • Schlagwörter: Media ; tone ; text-analysis ; cross-sectional prediction
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 9, 2022 erstellt
  • Beschreibung: This paper investigates the predictability of the firm news tone on stock return in Chinese market. We find that the news tone significantly positively predicts the cross-sectional future return in both short and long horizon. Beyond this, we generally find while the online news could predict future returns both in daily frequency and longer-horizon, the printed information shows no prediction power. The supportive evidences show that the media tend to put more fundamental-related information on their websites. Only the online news predicts the earning surprise and corresponding market reaction. Additionally, the paper news shows predictability for state-own enterprise (SOEs)
  • Zugangsstatus: Freier Zugang