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’...

Event studies represent an increasingly popular method to evaluate the welfare effects of economic policy decisions. The basic idea is that stock market reactions to the announcement of policy decisions contain superior information about the welfare effects of these decisions. This paper...

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...

This paper investigates the magnitude and the main determinants of share price reactions to buy-back announcements of German corporations. For our comprehensive sample of 224 announcements that took place between May 1998 and April 2003 we find average cumulative abnormal returns around -7.5%...

In der vorliegenden Arbeit wird die Reaktion des DAX auf makroökonomischen Konjunkturmeldungen in Form von Veröffentlichungen des ZEWFinanzmarkttests untersucht. Zur Messung der Reaktion stehen die 15-Sekunden-Intraday- Realisationen des XDAX zur Verfügung. Die mittels Vergleich von...

The International Monetary Fund (IMF) is in the process of re-inventing itself with bilateral and multilateral surveillance emerging as a key function. The paper analyses how IMF surveillance announcements may be influenced by political power that member countries exert at the IMF. First, we...

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...