Arbeitspapier

Language tone in financial news media and the cross-section of stock returns

Based on 58,256 news articles published in the Financial Times during a 15-year period that cover companies in the DJIA, we find that a trading strategy that longs stocks with the most negative news and shorts stocks with the least negative news is not profitable. Consistent with this result, we also find that the sentiment factor derived from the negativism in the language tone in news articles is not a priced risk factor in the cross-section of stock returns. Nevertheless, the sentiment factor is significant for two-thirds of the stocks when it is added to well-known factor models.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 2020:3

Klassifikation
Wirtschaft
Financial Crises
Portfolio Choice; Investment Decisions
Asset Pricing; Trading Volume; Bond Interest Rates
Thema
asset pricing
factor models
Fama-French
news articles
sentiment

Ereignis
Geistige Schöpfung
(wer)
Bask, Mikael
Forsberg, Lars
Östling, Andreas
Ereignis
Veröffentlichung
(wer)
Uppsala University, Department of Economics
(wo)
Uppsala
(wann)
2020

Handle
URN
urn:nbn:se:uu:diva-409685
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bask, Mikael
  • Forsberg, Lars
  • Östling, Andreas
  • Uppsala University, Department of Economics

Entstanden

  • 2020

Ähnliche Objekte (12)