Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary and "fiscal policy. We use the general framework of sequential predictions, also called online machine learning, to forecast...

We investigate the relationship between media sentiment and international equity prices using a new dataset of 4 million news articles published between 1991 and 2015. Three key results emerge. First, news sentiment robustly predicts (future) daily returns around the world. However, we find a...

There are two different types of media bias. One bias, which we refer to as ideology, reflects a news outlet's desire to affect reader opinions in a particular direction. The second bias, which we refer to as spin, reflects the outlet's attempt to simply create a memorable story. We examine...

Watching TV and other forms of media consumption represent, after sleeping and working, the main activity that adults perform in developed countries. We present a dynamic theory of commercial broadcasting where the media trade utility-raising goods (programs, information, and services) with...

This paper examines the impact of partisan control of the media on news content and viewership by consumers with differing ideologies. We use data from Italy, where the main private television network is owned by Silvio Berlusconi, the leader of the center-right coalition, and the public...