Seminal models of herd behaviour and informational cascades point out existence of negative information externalities, and propose to ?destroy? information in order to achieve social improvements. Although in the last years many features of herd behaviour and informational cascades have been...

Seminal models of herd behaviour and informational cascades point out existence of negative information externalities, and propose to ?destroy? information in order to achieve social improvements. Although in the last years many features of herd behaviour and informational cascades have been...

Seminal models of herd behaviour and informational cascades point out existence of negative information externalities, and propose to ?destroy? information in order to achieve social improvements. Although in the last years many features of herd behaviour and informational cascades have been...

Seminal models of herd behaviour and informational cascades point out existence of negative information externalities, and propose to ?destroy? information in order to achieve social improvements. Although in the last years many features of herd behaviour and informational cascades have been...

Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing the price impact of information requires perfect knowledge of news' precision. In practice, however, precision is rarely dis- closed. Therefore, we extend standard Bayesian...

An important claim of Bayesian learning and a standard assumption in price discovery models is that the strength of the price impact of unanticipated information depends on the precision of the news. In this paper, we test for this assumption by analyzing intra-day price responses of CBOT T-bond...

We analyze how markets adjust to new information when the reliability of news is uncertain and has to be estimated itself. We propose a Bayesian learning model where market participants receive fundamental information along with noisy estimates of news' precision. It is shown that the efficiency...

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...

An important claim of Bayesian learning and a standard assumption in price discovery models is that the strength of the price impact of unanticipated information depends on the precision of the news. In this paper, we test for this assumption by analyzing intra-day price responses of CBOT T-bond...