This paper investigates the impact of seventeen US macroeconomic announcements on two broad and representative commodity futures indices. Based on a large sample from 1989 to 2005, we show that the daily price response of the CRB and GSCI commodity futures indices to macroeconomic news is...

This paper investigates whether newspapers report more favorably about advertising corporate clients than about other firms. Our identification strategy based on high-dimensional fixed effects and high frequency advertising data shows that advertising leads to more positive press coverage. This...

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...

In a competitive managerial labor market, compensation contracts should not depend on public attitudes or social norms regarding income inequality or 'fair pay'. In contrast to the standard view of optimal incentive design, we find that public opinion impacts executive compensation. We show that...

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 experimental paper investigates the impact of emotions on risk and return estimates of stocks. Participants rate well-known blue-chip firms on an emotional scale and forecast risk and return of the firms' stock. We find that positive emotions lead to a prediction of high return and low...

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...

Reliable estimates of variances and covariances are crucial for portfolio management and risk controlling. This paper investigates alternative methods to estimate time varying variance-covariance matrices: ordinary estimates and exponentially weighted moving averages in comparison to Markov...

We study the impact of the arrival of macroeconomic news on the informational and noise-driven components in high-frequency quote processes and their conditional variances. Bid and ask returns are decomposed into a common ('efficient return') factor and two market-side-specific components...