1. Asset returns, news topics, and media effects*
- Author
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Larsen, Vegard Høghaug and Thorsrud, Leif Anders
- Subjects
Economics and Econometrics ,machine learning ,stock returns ,Latent Dirichlet allocation ,VDP::Economics: 212 ,news ,VDP::Samfunnsøkonomi: 212 - Abstract
We decompose the textual data in a daily Norwegian business newspaper into news topics and investigate their predictive and causal role for asset prices. Our findings suggest that news published through the mass media has significant, persistent, and potentially economically profitable predictive power for returns. Moreover, during an exogenous media strike returns for firms particularly exposed to our news measure experience a substantial fall relative to the control group. Together these findings lend support for a view where the media act as “information intermediaries” between agents and the state of the world, and disseminate fundamental information to investors.
- Published
- 2022