Bayesian learning provides a core concept of information processing in financial markets. Typically it is assumed that market participants perfectly know the quality of released news. However, in practice, news' precision is rarely disclosed. Therefore, we extend standard Bayesian learning...

The paper analyzes the interactions between the precision of information, trade and welfare within a decision framework of an exporting firm. Information in a financial market is described in terms of a publicly observable signal. With higher transparency, the signal conveys more precise...

This paper introduces a new information density indicator to provide a more comprehensive understanding of price reactions to news and, more specifically, to the sources of jumps in financial markets. Our information density indicator, which measures the abnormal amount of noisy “ticker”...

Economists usually think that rational voters have little incentives to acquire costly information. We present a theoretical model to show that, in contrast to this widely held belief, rational voters acquire considerable amounts of information if media technology is available because then they...