This study assesses the impact of the quality of bankruptcy data on the estimation and evaluation of bankruptcy prediction models. To meet this objective, we develop a systematic methodology to obtain bankruptcy information from corporate news releases and public sources. Then, applying this...

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...

This paper investigates the intraday response of T-bond futures pricesto surprises in headline figures of U.S. macroeconomic reports. Analyzing thetime series properties and the information content of the macroeconomic newsflow, the paper seeks an answer to the question, what determines the...

Standard equity valuation approaches (i.e., DDM, RIM, and DCF) are derivedunder the assumption of ideal conditions, such as infinite payoffs and cleansurplus accounting. Since these conditions are hardly ever met, we provideextensions of the standard approaches based on the fundamental principle...

This paper delineates the simultaneous impact of non-anticipated information onmean and variance of the intraday return process by including appropriate variablesaccounting for the news flow into both the mean and the variance function. This allowsus to differentiate between the consistent price...

It is well documented that the U.S. employment report has a strong price impact in financial markets. Based of these precision proxies, we show that prices respond significantly stronger to more precise information, even after controlling for an asymmetric price response to ’good’ and ’bad’...