This paper investigates industry classification systems. During the last 50 years there has been a considerable discussion of problems regarding the classification of economic data by industries. From my perspective, the central point of each classification is to determine a balance between...

We cross-sectionally analyze the presence of aggregated hidden depth and trade volume in the S&P 500 and identify its key determinants. We find that the spread is the main predictor for a stock’s hidden dimension, both in terms of traded and posted liquidity. Our findings moreover suggest that...

This paper applies a non- and a semiparametric copula-based approach to analyze the first-order autocorrelation of returns in high frequency financial time series. Using the EUREX D3047 tick data from the German stock index, it can be shown that the temporal dependence structure of price...

This paper investigates how media coverage influences macroeconomic information processing at the bond market. I provide evidence that a high media coverage of an economic topic increases investor attention prior to the release of the corresponding economic indicator: High media coverage of the...

News carry information of market moves. The gargantuan plethora of opinions, facts and tweets on financial business offers the opportunity to test and analyze the influence of such text sources on future directions of stocks. It also creates though the necessity to distill via statistical...

This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new theory-based predictions for how information risk and market stress influence aggregate herding intensity. We test these predictions empirically using a comprehensive data set of highfrequency and...

Recent studies suggest that the correlation of stock returns increases with decreasing geographical distance. However, there is some debate on the appropriate methodology for measuring the effects of distance on correlation. We modify a regression approach suggested in the literature and...

In their joint framework project, the FASB and the IASB recently proposed dropping stewardship as a separate objective of financial accounting, because the Boards view stewardship and valuation usefulness as compatible sub-objectives ranking under an overall objective of decision usefulness....

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...

With this study we are the first to systematically compare today’s two major counterparts as a source of accounting and financial data for researchers: Compustat North America by Standard & Poor’s and Worldscope by Thomson Financial. This investigation is conducted for U.S. and partly...