We investigate the impact of fraud risk - measured by the probability for earnings overstatements - on a firm's future stock market performance. Based on an out-of-sample estimation of individual firms' fraud risk, we find that stocks with higher fraud risk earn significantly lower stock market...

This paper investigates whether investor sentiment can explain stock returns on the German stock market. Based on a principal component analysis, we construct a sentiment indicator that condenses information of several well-known sentiment proxies. We show that this indicator explains the return...

This paper investigates whether investor sentiment can explain stock returns on the German stock market. Based on a principal component analysis, we construct a sentiment indicator that condenses information of several well-known sentiment proxies. We show that this indicator explains the return...

This paper develops a broad-based sentiment indicator for Germany and investigates whether investor sentiment can explain stock returns on the German stock market. Based on a principal component analysis, we construct a sentiment indicator that condenses information of several well-known...

This experimental study investigates the impact of affective attitudes on risk and return estimates of stocks. Participants rate well-known blue-chip firms on an affective scale and forecast risk and return of the firms' stock. We find that positive affective attitudes lead to a prediction of...

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...