This study shows that order flow in a foreign exchange market only has permanent price impact if it comes from certain regions. These regions are – as predicted by the local information hypothesis – centers of political and financial decision making. It is revealing that orders from other...

The puzzling evidence of seemingly high momentum returns is related to an understanding of risk as a simple covariance. If we consider, however, risk in higher-order statistical moments, momentum returns appear less advantageous. Thus, a prospect-theoretical assessment of US stock momentum...

This paper contributes empirically to our understanding of informed traders. It analyzes traders? characteristics in an electronic limit order market via anonymous trader identities. We use six indicators of informed trading in a cross-sectional multivariate approach to identify traders with...

This paper shows how traders learn from post-trade identity disclosure in a currency limit order market. We establish that identity disclosure reveals information and show how traders react by reversing their order flow in line with the better informed. Informed traders primarily incorporate...

Existing empirical evidence is inconclusive on whether professional investors show sophisticated behavior or not, a question which is at the heart of market efficiency. This ambiguous evidence is mostly based on trading data or laboratory evidence, which each has its limitations. We complement...

We compare seven established risk elicitation methods and investigate how they explain an extensive set of risky behavior from a large household survey. We find overall positive correlation between items and low explanatory power in terms of behavior. Using an average of seven risk elicitation...

This paper presents an online-experiment on overconfidence in the context of financial markets. Our subject pool consists of institutional investors, investment advisors and individual investors, all of them being registered users of a large online platform for market sentiment data. Due to...

We construct a novel database of monthly foreign exchange interventions for 49 countries over up to 22 years. We build on a text classification approach that extracts information about interventions from news articles and calibrate our procedure to data about actual interventions. Our new...