We propose a new approach to measuring the effect of unobservable private information or beliefs on volatility. Using high-frequency intraday data, we estimate the volatility effect of a well identified shock on the volatility of the stock returns of large European banks as a function of the...

How do financial markets price new information? This paper analyzes price setting at the intersection of private and public information, by testing whether and how the reaction of financial markets to public signals depends on the relative importance of private information in agents’...

In their seminal paper French and Roll (1986) postulate that public information affects prices before anyone can trade on it. In contrast, several models assuming heterogeneous investors show that public news releases are directly followed by high trading volume. Empirical evidence on this...

In present study, I explore intraday behavior of stock prices. In particular, I try to shed light on the dynamics of stock price reversals and namely, on the short-term character the latter may possess. For each of the stocks currently making up the Dow Jones Industrial Index, I calculate...

We examine the stock price reaction of rival firms to privatization announcements to infer information about industry effects of privatization. We find that the rival firms reacted negatively to privatization announcements, thus suggesting that the announcement effects reflect competitive...

We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news....

Der vorliegende Beitrag untersucht, ob der Mehrheitsaktionär einer Gesellschaft im Vorfeld eines Zwangsausschlusses von Minderheitsaktionären (sog. Squeeze-Out) versucht, die Kapitalmarkterwartungen negativ zu beeinflussen. Ein solches 'manipulatives' Verhalten wird häufig in der juristischen...

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...

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...

It is well known that information arrival has an impact on prices volatility, and trading volume in financial markets (see e.g., Goodhart and O?Hara 1997). Scheduled macroeconomic announcements, such as monthly employment figures, consumer prices, or building permits, stand out from the steady...