We examine how the language used by central bank officials in public press conferences influences stock returns in the euro area. In line with the concept of Odyssean Forward Guidance, we find that using constraining language to express policy commitment increases the effectiveness of Forward...

We investigate a novel dataset of more than half a million 15 second transcribed audio snippets containing COVID-19 mentions from major US TV stations throughout 2020. Using the Latent Dirichlet Allocation, an unsupervised machine learning algorithm, we identify seven COVID-19 related topics...